Abstract: Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Abstract: Disclosed herein is a sensors-as-a-service ecosystem. In use, the system includes functions for receiving first sensor data at a sensors as a service platform, where the first sensor data corresponds to a first level of capabilities for a first sensor. The system also receives a selection of a sensor upgrade for the first sensor and provisions enhanced sensor capabilities for the sensor upgrade based on the selection. Furthermore, the system sends a sensor update with the enhanced sensor capabilities from the sensors as a service platform to the first sensor. Finally, the system receives second sensor data from the first sensor at the sensors as a service platform, where the second sensor data corresponds to a second level of capabilities for the first sensor.

Abstract: A resonant sensor is embedded within or applied to a component of a medical diagnostic apparatus. The resonant sensor is formed from a composite material. The resonant sensor undergoes a change of permittivity and/or change in permeability due to metabolic activity of a microorganism that is involved in the medical diagnostic and proximal to the resonant sensor. The medical diagnostic apparatus may be a blood culture bottle that is configured to contain a blood culture medium. The resonant sensor may be embedded in or applied to the exterior or interior wall of the blood culture bottle. The resonant sensor may undergo a change in permittivity and/or a change in permeability due to production of carbon dioxide by the microorganism. The composite material may comprise a carbonaceous material such as graphene.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: Methods and system to learn precise sensing fingerprints based on machine learning integration are disclosed herein. In use, the system receives at least one first parameter associated with at least one sensor and associates the first parameter with a pre-identified first digital signature in a signature database. A machine learning system is trained based on the first parameter and the pre-identified digital signature. The system then receives at least one second parameter from the at least one sensor and determines that the second parameter is independent of a digital signature in the signature database. Using the machine learning system, a second digital signature for the second parameter is identified and saved in the signature database.

Abstract: The present invention provides a photochromic nanoparticle having a core-shell structure comprising (a) a polymer nano particle having a mean diameter controlled in a range of 10˜150 nm and containing a photochromic dye; and (b) a silicate inorganic polymer layer enveloping the polymer nanoparticle, and a method for preparing the same. The photochromic nanoparticle according to the present invention has structural and physical stability continuously in a long term and has transparency because of low light scattering, so that it can be applied to optical products.

Abstract: Nucleotide sequences encoding formate dehydrogenases D & E and a method for preparing succinic acid using the same, more particularly, formate dehydrogenases D & E converting formate to carbon dioxide and hydrogen, fdhD and fdhE nucleotide sequences encoding the formate dehydrogenases D & E, recombinant vectors containing the nucleotide sequences, microorganisms transformed with the recombinant vectors, and a method for preparing succinic acid using the transformed microorganism.

Abstract: Disclosed herein are a coating solution for the formation of a dielectric thin film and a method for the formation of a dielectric thin film using the coating solution. The coating solution comprises a titanium alkoxide, a ?-diketone or its derivative, and a benzoic acid derivative having an electron donating group. The method comprises spin coating the coating solution on a substrate to form a thin film and drying the thin film at a low temperature to crystallize the thin film. The titanium-containing coating solution is highly stable. In addition, the coating solution enables formation of a thin film, regardless of the kind of substrates, and can be used to form dielectric thin films in an in-line mode in the production processes of PCBs.

Abstract: Nucleotide sequences encoding formate dehydrogenases D & E and a method for preparing succinic acid using the same, more particularly, formate dehydrogenases D & E converting formate to carbon dioxide and hydrogen, fdhD and fdhE nucleotide sequences encoding the formate dehydrogenases D & E, recombinant vectors containing the nucleotide sequences, microorganisms transformed with the recombinant vectors, and a method for preparing succinic acid using the transformed microorganism.

Abstract: The invention relates to a fabrication method of a composite metal oxide dielectric film containing at least two metallic elements on a substrate, and a composite metal oxide dielectric film fabricated thereby. The method includes: forming an amorphous film containing at least one of the metallic elements; preparing a hydrothermal solution where a precursor of the remaining element of the metallic elements is mixed; immersing the amorphous film into the hydrothermal solution; and hydrothermally treating the amorphous film so that the remaining one of the metallic elements is synthesized to the amorphous film, thereby forming a crystallized composite metal oxide film.

Abstract: The invention provides a method for manufacturing a crystalline dielectric film by which the crystalline dielectric film can be formed at a low temperature of 300° C. or less. In the manufacturing method of the invention, first, an amorphous dielectric film is formed on a substrate. Then, the amorphous dielectric film is immersed into water to be hydrothermally treated.

Abstract: A dishwasher with a utensil basket is provided. The dishwasher includes a dish rack receiving kitchen utensils and a utensil basket detachably coupled to one side of the dish rack for receiving silverware. The utensil basket includes a basket base forming a lower portion of the utensil basket, a body frame detachably coupled to one side of the basket base, and a fixing part formed on the basket base or the body frame for detachably coupling the utensil basket to the dish rack.

Abstract: There is provided a dish receiving member of a dishwasher having a dish rack provide with frames forming a dish receiving space. The dish receiving member includes: a holder body formed of plastic and detachably coupled to a bottom portion of the accommodation frame; and one or more supporting parts formed on a top portion of the holder body for supporting a dish.

Abstract: There is provided a dishwasher. The dishwasher includes: a dish rack including an outer frame forming an exterior of the dish rack and an accommodation frame coupled to the outer frame for forming a bottom surface of the dish rack; and a slip-preventing device formed with an inserting groove for coupling with the dish rack to prevent a kitchen utensil from slipping.

Abstract: Disclosed herein is a method for forming a tungsten nitride film by introducing a tungsten precursor and a hydrazine derivative as a nitrogen source in a specific ratio into a reaction chamber, followed by deposition onto a semiconductor substrate at a given temperature by metal organic chemical vapor deposition (MOCVD) wherein the nitrogen source is a hydrazine derivative. According to the disclosed method, the use of the hydrazine derivative enables formation of a tungsten nitride film having a sufficient thickness even at low temperatures and using lesser amounts of the hydrazine derivative as compared to other nitrogen sources.