Ultra-Stable Printing using Aqueous Complex Coacervates
[%SearchResultsTechnologyDescription%]
|
|
Microfluidic Devices with Graphene Electrodes
[%SearchResultsTechnologyDescription%]
|
|
Flow Sensor Based on Coulometric Interrogation of a Graphene Microelectrode
[%SearchResultsTechnologyDescription%]
|
|
Katsumata / Vinyl-Comonomer Additive for Radically Activated Dynamic Phenomena
|
|
Triazole-rich deoxybenzoin-containing polymers as halogen- and phosphorous-free flame retardants
|
|
CAPACITIVE ARTIFICIAL NEURAL NETWORKS
|
|
ARTIFICIAL NEURONS USING DIFFUSIVE MEMRISTOR
[%SearchResultsTechnologyDescription%]
|
|
Seatbelt System for Buses – Retrofit or New
A novel seatbelt system has been developed that can be installed independent of the existing bus seats that did not have seatbelts. The invention can be adaptable for inter-city buses (coaches), as well as mid-sized buses and school buses. Most other seatbelt systems apply only to a specific seat design whereas this invention facilitates a seamless transition for the different seat configurations of the intended buses. Based on the design and condition of the sets, the strength of the support can be uniquely designed and customized to support the seatbelt design, while maintaining the integrity of the existing bus frame structure. Thus, this seatbelt system can be expected to be universal and economical.
|
|
Diffusive Memristor as a Synapse
Neuromorphic computing, systems designed to mimic the biological nervous system, require far less power than current computer processors. The increased efficiency makes feasible artificial intelligence applications for smaller, hand-held devices (e.g. smartphones, tablets). To this end, UMass inventors have designed hardware components that mimic neuronal synapses (Figure A). Specifically, diffusive Ag-in-oxide memristors show a temporal response during and after stimulation similar to that of a biological synapse. The novel diffusive memristor and its synapse-like dynamics enable a direct emulation of both short- and long-term plasticity of biological synapses and represent a major advancement in a hardware implementation for neuromorphic computing.
|
|
Algal-sludge Granule for Wastewater Treatment and Bioenergy Feedstock Generation
Water and wastewater treatments consume 3-4% of energy, while 60% of energy used at the wastewater treatment plant is dedicated to aeration in the activated sludge process. This novel bio-granule called oxygenic bio-granule, proposes to transform wastewater treatment facilities into water resource recovery facilities. The oxygenic bio-granule results from the conversion of activated sludge under photochemical reactions. It is naturally formed and is composed of algae and bacteria within one granular biomass. The bio-granule is a dense, spherical aggregate of microorganisms that is a self-immobilized biofilm and forms in the absence of solid substratum. The cohabitation of algae and bacteria within the biogranule allows for an efficient symbiotic wastewater treatment process. The bacteria degrade organic matter utilizing O2 that is produced by the algae. In addition, the algae harvest CO2 produced from the organic matter degradation for photosynthesis. The biomass flocculates to be 0.2 to 10mm in size, which allows them to be easily separable from water.
|
|