Abstract: An approach is disclosed that receives an incoming data record, the data record including a number of data fields. The approach determines a current Real-Time Resources Score (RTRS). The RTRS being a forecast of the information handling system's ability to handle incoming data transmissions. When the RTRS is lower than a current data accumulation rate, a subset of the data record is sent based on field priorities. The approach assigns priorities to each of the data fields included in the data record based on a priority assessment of the respective data fields. The approach then sends, to a data receiver, a subset of the plurality of data fields based on the assigned priority.

Abstract: A system performs adaptive thermal ceiling control at runtime. The system includes computing circuits and a thermal management module. When detecting a runtime condition change that affects power consumption in the system, the thermal management module determines an adjustment to the thermal ceiling of a computing circuit, and increases the thermal ceiling of the computing circuit according to the adjustment.

Abstract: An air freight rate data caching method and system. The method includes converting air freight rate data into a data format of a first-level cache, and storing same in the first-level cache; performing, on the basis of a flight origin city and a flight destination city, data fragmentation on the air freight rate data stored in the first-level cache so as to generate fragmented data; and storing the fragmented data, after same is validated, in a second-level cache. Each data node of the fragmented data cached in the second-level cache only includes part of the air freight rate data on which a fragmentation algorithm can be performed, and therefore, the horizontal expansion capacity of a cache system is improved relative to the case where cached data copies are all complete sets.

Abstract: A power consumption reduction method can include defining y operation scenarios according to x types of extracted information, generating z power profiles each used for controlling power provided to a subset of a plurality of processors, assigning the z power profiles to the y operation scenarios in a machine learning model, collecting to-be-evaluated information by the plurality of processors, comparing the to-be-evaluated information with the x types of extracted information to find a most similar type of extracted information, using the machine learning model to select an optimal power profile from the z power profiles according to the most similar type of extracted information, and applying the optimal power profile to control the power provided to the subset of the plurality of processors. The subset of the plurality of processors are of the same type of processor. x, y and z can be an integer larger than zero.

Abstract: The present disclosure relates to a light energy collecting system and a detection apparatus. Some embodiments of the present disclosure provide a light energy collecting system and a detection apparatus, to correct chromatic aberration, simplify system structure, and improve system reliability and stability.

Abstract: A method of building a characteristic model includes: acquiring raw electrical data from a measurement system outside one or more processing units; acquiring operational state-related data from an information collector inside the one or more processing units; performing a data annealing process on the raw electrical data and the operational state-related data to obtain and purified electrical data and purified operational state-related data; and performing a machine learning (ML)-based process to build the characteristic model based on the purified electrical data and the purified operational state-related data.

Abstract: A method for semiconductor manufacturing is disclosed. The method includes receiving a device having a first surface through which a first metal or an oxide of the first metal is exposed. The method further includes depositing a dielectric film having Si, N, C, and O over the first surface such that the dielectric film has a higher concentration of N and C in a first portion of the dielectric film near the first surface than in a second portion of the dielectric film further away from the first surface than the first portion. The method further includes forming a conductive feature over the dielectric film. The dielectric film electrically insulates the conductive feature from the first metal or the oxide of the first metal.

Abstract: A magnetoresistive random access memory (MRAM) structure is provided in the present invention, including multiple MRAM cells, and an atomic layer deposition dielectric layer between and at outer sides of the MRAM cells, wherein the material of top electrode layer is titanium nitride, and the nitrogen percentage is greater than titanium percentage and further greater than oxygen percentage in the titanium nitride, and the nitrogen percentage gradually increases inward from the top surface of top electrode layer to a depth and then start to gradually decrease to a first level and then remains constant, and the titanium percentage gradually decreases inward from the top surface of top electrode layer to the depth and then start to gradually increase to a second level and then remains constant.

Abstract: A method for fabricating a semiconductor device includes the steps of forming a gate structure on a substrate, forming an interlayer dielectric (ILD) layer on the gate structure, forming a contact hole in the ILD layer adjacent to the gate structure, performing a plasma doping process to form a doped layer in the ILD layer and a source/drain region adjacent to the gate structure, forming a conductive layer in the contact hole, planarizing the conductive layer to form a contact plug, removing the doped layer to form an air gap adjacent to the contact plug, and then forming a stop layer on the ILD layer and the contact plug.

Abstract: A method for fabricating a semiconductor device includes the steps of forming a gate structure on a substrate, forming a contact etch stop layer (CESL) on the gate structure, forming an interlayer dielectric (ILD) layer on the CESL, forming a contact plug in the ILD layer and adjacent to the gate structure, forming a first stop layer on the ILD layer, and removing the first stop layer and the ILD layer around the gate structure to form an air gap exposing the CESL.

Abstract: A system may port a data model into a strict schema system, translate the data model into a transformation rule definition, fit the transformation rule definition to a transform action, receive strict schema data, perform the transform action on the strict schema data based on the transformation rule definition to form rough data, and execute filtering and enriching operations on the rough data to form loose schema data.

Abstract: A molding die includes a first mold assembly, a second mold assembly, and a mold core. The first and second mold assemblies are adapted to be clamped together. The mold core defines a molding groove. The molding core is pressed between the first and second mold assemblies to form a molding cavity. The second mold assembly includes a light transmitting area corresponding to the molding cavity, so that the molding cavity will receive incident light through the light transmitting area. In the molding die, the first mold assembly, the second mold assembly, and the mold core cooperate to form the molding cavity, adhesive is injected into the molding cavity, and the molding cavity receives incident light through the light transmitting area, so that curing efficiency of the adhesive is improved, production efficiency is high, shape of molded adhesive is uniform, and product quality is improved.

Abstract: A computer-implemented method includes analyzing, by a processing unit, a relational database to discover a plurality of static relationships between a plurality of data fields captured in two or more tables. The processing unit can discover a plurality of entity relationships based on observing application-generated queries and results of accessing the relational database in response to one or more test triggers. The processing unit can build one or more relation graphs based on the static relationships and the entity relationships to link a plurality of nodes with one or more edges that define at least one relationship between the nodes. One or more class graphs are formed having a reduced number of edges than the one or more relation graphs. The processing unit can generate one or more result data graphs using the one or more class graphs as a graph database model of the relational database.

Abstract: A computer-implemented method includes analyzing, by a processing unit, a relational database to discover a plurality of static relationships between a plurality of data fields captured in two or more tables. The processing unit can discover a plurality of entity relationships based on observing application-generated queries and results of accessing the relational database in response to one or more test triggers. The processing unit can build one or more relation graphs based on the static relationships and the entity relationships to link a plurality of nodes with one or more edges that define at least one relationship between the nodes. One or more class graphs are formed having a reduced number of edges than the one or more relation graphs. The processing unit can generate one or more result data graphs using the one or more class graphs as a graph database model of the relational database.

Abstract: The invention discloses a method and a device for constructing a SQL statement based on reinforcement learning, wherein the method includes: initializing an actor-critic network parameter; acquiring a sequence pair of natural language and real SQL statement from a data set; inputting a natural language sequence into an actor network encoder, and inputting a real SQL sequence into a critic network encoder; using an encoded hidden state as an initialized hidden state of a corresponding decoder; gradually predicting, by an actor network decoder, a SQL statement action, and inputting the SQL statement action to a critic network decoder and an environment to obtain a corresponding reward; and using a gradient descent algorithm to update the network parameters, and obtaining a constructing model of the natural language to the SQL statement after repeated iteration training.

Abstract: A method of manufacturing a semiconductor structure including the following steps is provided. A substrate is provided. The substrate has a first region and a second region. A stacked structure is formed on the substrate in the first region. The stacked structure includes a first dielectric layer, a charge storage layer, a second dielectric layer, a first conductive layer, and a first hard mask layer. A dielectric material layer is formed on the substrate in the second region. A second conductive layer is formed on the dielectric material layer in the second region. A first patterned photoresist layer is formed. The first hard mask layer exposed by the first patterned photoresist layer and a portion of the dielectric material layer exposed by the first patterned photoresist layer are removed by using the first patterned photoresist layer as a mask.

Abstract: An air freight rate data caching method and system. The method includes converting air freight rate data into a data format of a first-level cache, and storing same in the first-level cache; performing, on the basis of a flight origin city and a flight destination city, data fragmentation on the air freight rate data stored in the first-level cache so as to generate fragmented data; and storing the fragmented data, after same is validated, in a second-level cache. Each data node of the fragmented data cached in the second-level cache only includes part of the air freight rate data on which a fragmentation algorithm can be performed, and therefore, the horizontal expansion capacity of a cache system is improved relative to the case where cached data copies are all complete sets.

Abstract: The present invention discloses a method for detecting abnormity in an unsupervised industrial system based on deep transfer learning. Labeled machine sensor sequence data from a source domain and unlabeled sensor sequence data from a target domain are used in the present invention to train an industrial system abnormal detection model with good generalization ability, and the industrial system abnormal detection model is trained and tested to finally generate a trained industrial system abnormity discrimination model. Using the model, received machine sensor sequence data can be analyzed and whether a machine is abnormal is discriminated.

Abstract: A system performs adaptive thermal ceiling control at runtime. The system includes computing circuits and a thermal management module. When detecting a runtime condition change that affects power consumption in the system, the thermal management module determines an adjustment to the thermal ceiling of a computing circuit, and increases the thermal ceiling of the computing circuit according to the adjustment.

Abstract: A magnetoresistive random access memory (MRAM) structure is provided in the present invention, including multiple MRAM cells, and an atomic layer deposition dielectric layer between and at outer sides of the MRAM cells, wherein the material of top electrode layer is titanium nitride, and the nitrogen percentage is greater than titanium percentage and further greater than oxygen percentage in the titanium nitride, and the nitrogen percentage gradually increases inward from the top surface of top electrode layer to a depth and then start to gradually decrease to a first level and then remains constant, and the titanium percentage gradually decreases inward from the top surface of top electrode layer to the depth and then start to gradually increase to a second level and then remains constant.