55 results about "Thermal index" patented technology

A computer implemented method, data processing system, computer usable code, and apparatus are provided for optimizing the thermal performance of a computer system. A set of processor cores associated with the computer system are identified. A thermal index is requested for each of the set of processor cores and the processor cores are ranked based on the thermal index. Software is then mapped to execute on an optimal processor core form the set of processor cores based on the ranking.

A computer implemented method, data processing system, computer usable code, and apparatus are provided for optimizing the thermal performance of a computer system. A set of processor cores associated with the computer system are identified. A thermal index is requested for each of the set of processor cores and the processor cores are ranked based on the thermal index. Software is then mapped to execute on an optimal processor core form the set of processor cores based on the ranking.

A technique is described for providing compensation for the thermo-optic effect in a large-mode-area optical fiber, filter fiber, or the like. An optical fiber is provided having a refractive index profile with ambient temperature loss characteristics including a low loss for a first type of light and a high loss for a second type of light. A hot region of the fiber connected into an optical system is identified, in which a thermal index gradient is induced in the fiber. The thermal index gradient, in the absence of a compensating index gradient, would result in degradation of the fiber's ambient temperature loss characteristics. The fiber is arranged according to a layout having a position-varying bending diameter. Throughout the identified hot region, the fiber has a compensating bending diameter that induces a compensating index gradient in the fiber. Outside of the identified hot region, the fiber has an applied operating bending diameter that maintains the fiber's ambient temperature loss characteristics.

A computer implemented method, data processing system, and computer usable code are provided for using software and hardware thermal profiles to schedule the execution of applications. Hardware and software thermal profiles are generated for a set of processors and a set of applications, respectively, to form a plurality of hardware and software thermal profiles. Then a set of hardware and software thermal profiles are selected from the plurality of hardware and software thermal profiles. The set of software thermal profiles and the set of hardware thermal profiles are used to generate a thermal index. Finally, the execution of the set of applications is scheduled using the thermal index.

A computer implemented method and system for optimizing thermal performance of a computer system. An identification of a set of processor cores associated with the computer system is made and a thermal index is requested for each of the set of processor cores to form a set of thermal indexes. Proximity information and conductive property information associated with the set of processors is loaded and software is mapped to execute on an optimal processor core form the set of processor cores based the set of thermal indexes, proximity information, and conductive property information.

A computer implemented method, data processing system, and computer usable code are provided for optimizing thermal performance of a computer system. Identification of a set of system resources associated with the computer system is performed and a thermal index is requested for each of the set of system resources to form a set of thermal indexes. An action from a set of actions is identified to reduce resource utilization. The action is implemented to reduce a thermal state of the computer system.

A computer implemented method, data processing system, and computer usable code are provided for optimizing thermal performance of a computer system. A set of system resources associated with the computer system are identified. A thermal index is requested for each of the set of system resources to form a set of thermal indexes. A thermal constraint is loaded and software is compiled using the set of thermal indexes in order not to exceed the thermal constraint.

A computer implemented method, data processing system, computer usable code, and apparatus are provided for generation of software thermal profiles for applications executing on a set of processors. Sampling is performed of the hardware operations occurring in a set of processors during the execution of a set of workloads to create sampled information. A thermal index is then generated based on the sampled information.

A computer implemented method, data processing system, and computer usable code are provided for optimizing thermal performance of a computer system. An identification of a set of processor cores associated with the computer system is made and a thermal index is requested for each of the set of processor cores to form a set of thermal indexes. Proximity information and conductive property information associated with the set of processors is loaded and software is mapped to execute on an optimal processor core form the set of processor cores based the set of thermal indexes, proximity information, and conductive property information.

A computer implemented method, data processing system, and computer usable code are provided for generation of hardware thermal profiles for a set of processors. Sampling is performed of the thermal states of the set of processors during the execution of a set of workloads to create sampled information. The sampled information and thermal characteristics of the set of processors are combined and a thermal index is generated based on the sampled information and characteristics of the set of processors.

A computer implemented method, data processing system, and computer usable code are provided for generation of software thermal profiles for applications executing on a set of processors using thermal sampling. Sampling is performed of the thermal states of the set of processors for the set of workloads to create sampled information. A thermal index is then generated based on the sampled information.

A computer implemented method, data processing system, and computer usable code are provided for analytical generation of software thermal profiles. In order to generate a thermal profile, a set of instruction streams are analyzed for a program being executed by a set of processors to create analyzed information. A thermal index is generated based on the analyzed information.

A computer implemented method, data processing system, and computer usable code are provided for generation of hardware thermal profiles for a set of processors. Sampling is performed of the thermal states of the set of processors during the execution of a set of workloads to create sampled information. The sampled information and thermal characteristics of the set of processors are combined and a thermal index is generated based on the sampled information and characteristics of the set of processors.

Glass compositions displaying decreased far infrared radiation transmission, high biosolubility, and excellent moisture resistance are capable of fiberization by the rotary process, and may be used to prepare thermal insulation products exhibiting high thermal insulation efficiency as reflected by low thermal index values. The insulation products also exhibit excellent stiffness and recovery properties.

A computer implemented method and system for the generation of software thermal profiles for applications executed on a set of processors in a simulated environment. Execution of a software program being run on a software simulator is detected and hardware operations for the software program being executed by the set of processors are analyzed to create analyzed information. Then, a thermal index is generated based on the analyzed information.

A computer implemented method, data processing system, and computer usable code are provided the generation of software thermal profiles for applications executed on a set of processors in a simulated environment. Execution of a software program being run on a software simulator is detected and hardware operations for the software program being executed by the set of processors are analyzed to create analyzed information. Then, a thermal index is generated based on the analyzed information.

The invention discloses a thermal analysis determination method for the plant biomass lignin content. The method comprises the following steps that 1, plant biomass samples are prepared; 2, the characterization parameter standard of slow pyrolysis of standard organic matter on the anaerobic condition is determined; 3, the characterization parameter standard of slow pyrolysis of natural plant biomass on the anaerobic condition is determined; 4, a DSC scanning experiment of the plant biomass samples is performed to obtain DSC thermograms of the characterization parameter standard of slow pyrolysis of the natural plant biomass on the anaerobic condition; 5, the DSC thermograms are interpreted to obtain thermal indexes; 6, the lignin content is calculated. According to the thermal analysis determination method for the plant biomass lignin content, a large number of the experimental steps are omitted, the experimental time is effectively shortened, the usage of acidized agentia is avoided, and environmental pollution is reduced.

A computer implemented method, data processing system, and computer usable code are provided for generation of software thermal profiles for applications executing on a set of processors using thermal sampling. Sampling is performed of the thermal states of the set of processors for the set of workloads to create sampled information. A thermal index is then generated based on the sampled information.

A polyetherimide having an OH content that is greater than 0 and equal or less than 100 ppm; a Relative Thermal Index that is greater than or equal to 170 DEG C; and a chlorine content that is greater than 0 ppm is disclosed herein. A method for preparing the polyetherimide is also disclosed.

The invention relates to a subway station air-conditioning system energy-saving control method and system based on multi-source information fusion. The method includes the steps that the weather information of the outside of a subway station, the environment information of the inside of the subway station and the running information of an air-conditioning system are acquired; the weather information, the environment information and the running information are subjected to fusion processing, and the current relative thermal index value of an inlet area of the subway station is obtained; a target relative thermal index value is determined according to the current relative thermal index value; a target temperature set value of a second area of the subway station is calculated on the basis ofthe target relative thermal index value; and according to the target temperature set value, the opening degree of an air valve of the air-conditioning system is adjusted. By means of the subway station air-conditioning system, the temperatures of a station hall and a station platform of the subway station can be dynamically adjusted, thus the demand of the comfort of passengers can be met, and thebest energy-saving effect can be achieved.

The invention relates to a method for calculating heat supply steam pipeline production and acceptance evaluation thermal indexes. The method is used for a thermal power plant. After a heat supply steam pipeline is put into production, it is required to carry out construction acceptance and evaluation on the steam pipeline. At present, in relevant specifications and data, the evaluation and the acceptance of a heat supply pipeline network mainly relate to requirements for the insulation thickness of the pipeline or a support of the pipeline, but less relate to thermal indexes such as pressuredrop, temperature drop and heat loss. In the present invention, the heat supply steam pipeline production and acceptance evaluation thermal indexes include the temperature drop of the heat supply steam pipeline, the pressure drop of the heat supply steam pipeline, the leakage rate of the heat supply steam pipeline and the heat loss rate of the heat supply steam pipeline, and the method for calculating the temperature drop of the heat supply steam pipeline, the pressure drop of the heat supply steam pipeline, the leakage rate of the heat supply steam pipeline and the heat loss rate of the heatsupply steam pipeline is provided. A calculation result can be compared with a design value so as to evaluate the thermal performance of the heat supply steam pipeline.

The invention relates to the technical field of all-solid state laser, and particularly relates to a novel laser amplifier. The novel laser amplifier disclosed by the invention comprises an optical prism 2, a laser material 1 and an optical prism 3, which are arranged along a light path, wherein the laser material 1 is tubular rod crystal; chamfering angles are inwards or outwards processed at two ends of the tubular rod crystal; the section of the tubular rod crystal is trapezoid; each surface of the laser material 1 is accurately polished; the optical prism 2 and the optical prism 3 are the same. Compared with a traditional rod working material, the internal thermal index gradient is effectively reduced, so that the thermal index gradient is greatly reduced; a light beam is subjected to optical length differences decrease when penetrates through different positions, so that wavefront distortion generated by the light beam can be effectively weakened; the novel laser amplifier is simple to fabricate, and low in cost; the accuracy requirements on the processing technology are easily met.

The invention discloses a method for detecting the plant biomass TOC through thermal analysis. The method is characterized by including the following steps that firstly, plant biomass samples are prepared; secondly, a standard organic substance anaerobic condition slow pyrolysis characterization parameter standard is conducted; thirdly, a natural plane biomass anaerobic condition slow pyrolysis characterization parameter standard is conducted; fourthly, a plant biomass sample DSC scanning experiment is conducted, and a DSC thermogram of the natural plane biomass anaerobic condition slow pyrolysis characterization parameter standard is obtained; fifthly, interpretation of the DSC thermogram is conducted, and a thermal index is obtained; sixthly, TOC calculation is conducted. According to the method, a large amount of experiment steps are omitted, the experiment time is shortened by 5-11 hours, the use of acidized medicament is avoided, and environment pollution is relieved.

The invention discloses a method for evaluating grape climate regionalization in a Chinese continental monsoon climate region. The method comprises the following steps: collecting data, analyzing thedata, establishing a digital elevation model, establishing a climate model and establishing a damp-heat index. Based on the digital elevation model, space calculation combining multivariate linear stepwise regression and residual interpolation is adopted, simulation errors are reduced to a great extent, it is found that the matching degree of a zoning scheme and actual cultivation conditions of all counties is extremely high through comparison with climate zoning results, the important factor of air humidity is added into the zoning scheme, the index of the damp-heat index is provided by referring to the hot index for evaluating the comfort degree of people, and the index quite conforms to the climate characteristics of China.

The invention discloses a soil heat flux prediction method based on multi-source satellite remote sensing data, and the method comprises the following steps: firstly, providing a soil heat index formula, providing reference for the evaluation of the soil heat flux of a region without data, and simulating an observation station with actual measurement data by adopting a popular machine learning method, the method comprises the following steps: respectively establishing an extreme learning machine model and a Bayesian optimized random forest regression model to estimate the soil heat flux based on a model input characteristic value screened by a random forest, and finally dynamically combining an empirical index model and a machine learning model by utilizing a GBDT gradient boosting tree method to establish an optimal soil heat flux prediction model. The method is higher in calculation precision and has practical significance. The method is superior to a traditional method for calculating the result of the soil heat flux by utilizing a formula, and the accuracy of inverting evapotranspiration by utilizing an energy conservation model is improved.

The invention relates to a method for determining furnace heat by using a blast furnace slag iron heat index, belongs to the technical field of blast furnace operation control, and solves the technical problem about making correct judgment on the furnace heat of a blast furnace. The method has the main principles that a slag-iron heat index capable of reflecting the heat states of slag and molteniron is solved by using a blast furnace high-temperature zone heat balance and carbon-oxygen balance equation, then a blast furnace heat storage index is constructed according to historical data, thetotal heat level in the furnace is determined, and a furnace heat index of the blast furnace is constructed by combining chemical heat and physical heat parameters of the blast furnace, then the furnace heat level of the blast furnace can be determined, and blast furnace heat judgment and adjustment are guided, so that the molten iron quality is improved, and the furnace condition is stabilized.

The invention discloses a solar photovoltaic cell module. Traditional tempered glass is substituted by photovoltaic tempered glass with fireproof grade A so as to meet the standard of the fireproof grade A; a fireproof intelligent junction box with a relative thermal index of 120 is adopted and has a relatively good fireproof function, moreover, a control module having a function of switching off and a detection module having functions of over / under-voltage detection and over-temperature detection are arranged in the junction box, so that the functions of over-temperature and over / under-voltage detection, controllable switch-off and the like are achieved, and the safety of the module during the running process is further ensured; and further, a cable of the junction box adopts a standard flame-retardant corrugated metal pipe (CMP) of UL, and the fireproof performance is further improved. The module disclosed by the invention can be completely implemented in a traditional crystal silicon module production line, no extra process and labor are needed to be added to the production line, and the module is convent to produce.

The invention belongs to the field of display technology, and relates to an array substrate, a display panel and a display device. The array substrate comprises an array substrate, a plurality of pixel cells formed by square crossing of grating lines and data lines, and switch transistors for controlling the pixel cells to switch on and off, wherein a thermo-optic switch is arranged in each pixel cell and comprises a light guiding part with thermal index change and a heating part arranged on each light guiding part; the heating parts are connected with the data lines through the switch transistors; the switch transistors are used for controlling data signals to be output to the heating parts; the heating parts are heated under the action of current of the data signals.