Abstract: Techniques are provided for implementing an in-memory columnar data store that is configured to either grow or shrink in response to performance prediction data generated from database workload information. A system maintains allocations of volatile memory from a given memory area for a plurality of memory-consuming components in a database system. The system receives for each memory-consuming component, performance prediction data that contains performance predictions for a plurality of memory allocation sizes for the memory-consuming components. The system determines a target memory allocation for an in-memory columnar data store based on the performance predictions. The system determines an incrementally adjusted amount of memory for the in-memory columnar data store and causes the incrementally adjusted amount to be allocated to the in-memory columnar data store.

Abstract: In some embodiments, a battery management system is provided. The battery management system comprises a connector for electrically coupling a battery to the battery management system, at least one sensor configured to detect a battery state, a programmable chip configured to control at least one of charging and discharging of the battery, and a controller device. The controller device is configured to receive at least one battery state from the at least one sensor; provide the at least one battery state as input to a tanks-in-series model that represents the battery; and provide at least one output of the tanks-in-series model to the programmable chip for controlling at least one of charging and discharging of the battery.

Abstract: Electrochemical models for the lithium-ion battery are useful in predicting and controlling its performance. The values of the parameters in these models are vital to their accuracy. However, not all parameters can be measured precisely, especially when destructive methods are prohibited. In some embodiments of the present disclosure, a parameter estimation approach is used to estimate the open circuit potential of the positive electrode (Up) using piecewise linear approximation together with all the other parameters of a single particle model. Up and 10 more parameters may be estimated from a single discharge curve without knowledge of the electrode chemistry using a technique such as a genetic algorithm. Different case studies were presented for estimating Up with different types of parameters of the battery model. The estimated parameters were then validated by comparing simulations at different discharge rates with experimental data.

Abstract: In some embodiments, a battery management system is provided. The battery management system comprises a connector for electrically coupling a battery to the battery management system, at least one sensor configured to detect a battery state, a programmable chip configured to control at least one of charging and discharging of the battery, and a controller device. The controller device is configured to receive at least one battery state from the at least one sensor; provide the at least one battery state as input to a tanks-in-series model that represents the battery; and provide at least one output of the tanks-in-series model to the programmable chip for controlling at least one of charging and discharging of the battery.

Abstract: Battery models using robust fail-safe iteration free approach for solving Differential Algebraic Equations, and associated systems and methods are disclosed. In one embodiment, a method includes generating a model of the rechargeable battery; determining one or more initial conditions for one or more algebraic variables of the model using a solver; holding differential variables of the model static by a switch function while determining the one or more initial conditions; applying the initial conditions to the model by the switch function; and determining one or more parameters for the rechargeable battery by solving the algebraic and differential equations.

Abstract: A computer-implemented method for modeling the amount of current discharged by a battery is provided. The method is implemented by a computing device communicatively coupled with a memory, and includes generating, by the computing device, a model of at least one battery cell comprising a positive electrode region, a negative electrode region, and a separator region. The method also includes transforming the positive electrode region, the negative electrode region, and the separator region of the battery into a single region in the model. In addition, the method includes generating, by the computing device, a plurality of trial functions associated with the single region, and determining, by the computing device, the amount of current discharged from the battery cell based on the trial functions.

Abstract: Battery models using robust fail-safe iteration free approach for solving Differential Algebraic Equations, and associated systems and methods are disclosed. In one embodiment, a method includes generating a model of the rechargeable battery; determining one or more initial conditions for one or more algebraic variables of the model using a solver; holding differential variables of the model static by a switch function while determining the one or more initial conditions; applying the initial conditions to the model by the switch function; and determining one or more parameters for the rechargeable battery by solving the algebraic and differential equations.

Abstract: Electrochemical models for the lithium-ion battery are useful in predicting and controlling its performance. The values of the parameters in these models are vital to their accuracy. However, not all parameters can be measured precisely, especially when destructive methods are prohibited. In some embodiments of the present disclosure, a parameter estimation approach is used to estimate the open circuit potential of the positive electrode (Up) using piecewise linear approximation together with all the other parameters of a single particle model. Up and 10 more parameters may be estimated from a single discharge curve without knowledge of the electrode chemistry using a technique such as a genetic algorithm. Different case studies were presented for estimating Up with different types of parameters of the battery model. The estimated parameters were then validated by comparing simulations at different discharge rates with experimental data.

Abstract: The present application provides composite seals for reducing leakages between adjacent components of turbomachinery. The composite seals may include a metallic shim, a metallic support structure and a ceramic, glass or enamel coating. The shim and the support structure may be bonded or fused together. The support structure may include internal voids or gaps, and the coating may be applied to the shim and the support structure such that the coating is provided within the voids or gaps of the support structure, between portions of the support structure and the shim, and substantially over the outer surface of the support structure. The support structure may thereby provide a mechanical attachment between the shim and the coating. In use, the coating provides thermal and/or chemical insulation to the metallic shim and the support structure of the seal.

Abstract: A computer-implemented method for modeling the amount of current discharged by a battery is provided. The method is implemented by a computing device communicatively coupled with a memory, and includes generating, by the computing device, a model of at least one battery cell comprising a positive electrode region, a negative electrode region, and a separator region. The method also includes transforming the positive electrode region, the negative electrode region, and the separator region of the battery into a single region in the model. In addition, the method includes generating, by the computing device, a plurality of trial functions associated with the single region, and determining, by the computing device, the amount of current discharged from the battery cell based on the trial functions.

Abstract: An apparatus, computer-readable medium, and computer-implemented method for managing mobile payment transactions includes receiving transaction data from a mobile device of a merchant, the transaction data including payment card information associated with a customer and transaction details information relating to the transaction, and the payment card information being captured with the mobile device of the merchant, storing a transaction record including the transaction details information in an online merchant account registered to the merchant, the online merchant account storing transaction records associated with the merchant, and providing access to the transaction records through the online merchant account.

Abstract: A protected article is prepared by providing the article, depositing a bond coat onto an exposed surface of the article, and producing a thermal barrier coating on an exposed surface of the bond coat. The step of producing the thermal barrier coating includes the steps of depositing a primary ceramic coating onto an exposed surface of the bond coat, and depositing a stabilization composition onto an exposed surface of the primary ceramic coating. The stabilization composition includes a first element selected from Group 2 or Group 3 of the periodic table, and a second element selected from Group 5 of the periodic table. The atomic ratio of the amount of the first element to the amount of the second element is at least 1.3, more preferably at least 1:1.

Abstract: A radio frequency based sensor is provided. The sensor comprises a radio frequency identification tag having a substrate, where the radio frequency identification tag generates an associated electromagnetic field. The sensor further includes an analyte recognition element in operative association with the substrate, where the analyte recognition element is capable of binding to a target analyte, and a signal amplification entity coupled to the analyte recognition element, where the signal amplification entity facilitates change in electromagnetic field in presence of the target analyte.

Abstract: Ceramic compositions comprising at least about 91 mole % zirconia and up to about 9 mole % of a stabilizer component comprising a first metal oxide having selected from the group consisting of yttria, calcia, ceria, scandia, magnesia, india and mixtures thereof. This stabilizer component further comprises a second metal oxide of a trivalent metal atom selected from the group consisting of lanthana, gadolinia, neodymia, samaria, dysprosia, erbia, ytterbia, and mixtures thereof. These ceramic compositions are useful in preparing thermal barrier coatings having reduced thermal conductivity for the metal substrate of articles that operate at, or are exposed to, high temperatures.

Abstract: Ceramic compositions comprising at least about 91 mole % zirconia and up to about 9 mole % of a stabilizer component comprising a first metal oxide having selected from the group consisting of yttria, calcia, ceria, scandia, magnesia, india and mixtures thereof. This stabilizer component further comprises a second metal oxide of a trivalent metal atom selected from the group consisting of lanthana, gadolinia, neodymia, samaria, dysprosium, and mixtures thereof and a third metal oxide of a trivalent metal atom selected from the group consisting of erbia, ytterbia and mixtures thereof. These ceramic compositions are useful in preparing thermal barrier coatings having reduced thermal conductivity for the metal substrate of articles that operate at, or are exposed to, high temperatures.

Abstract: Zirconia-containing ceramic compositions having a c/a ratio of the zirconia lattice in the range of from about 1.005 to about 1.016. These compositions comprise a stabilizing amount up to about 10 mole % of the composition of a stabilizer component which comprises: (1) a first metal oxide selected from the group consisting of yttria, calcia, ceria, scandia, magnesia, india and mixtures thereof in an amount of from about 1.5 to about 6 mole % of the composition of; (2) a second metal oxide selected from the group consisting of lanthana, neodymia and mixtures thereof in an amount of from about 0.5 to about 4 mole % of the composition; and (3) optionally ytterbia in an amount of from about 0.5 to about 4 mole % of the composition. These compositions further comprise hafnia in an amount of from about 0.5 to about 15 mole % of the composition; and optionally tantala in an amount of from about 0.5 to about 1.5 mole % of the composition.