Abstract: A method for evaluating a probability of road collapse is provided, which includes: collecting road data information of the road to be analyzed, and obtaining road soil layer information and underground pipeline information respectively through the road data information; determining road soil layer deterioration factors based on the road soil layer information; constructing a deterioration factor influence intensity model combined with the road soil layer information to obtain the probability of the influence of the road soil layer deterioration factors; constructing an underground pipeline deterioration influence intensity model combined with the underground pipeline information to obtain the probability of the underground pipeline deterioration influence; summarizing the probability of the influence of the road soil layer deterioration factors and the probability of the underground pipeline deterioration influence, and then evaluating the probability of road collapse, improving the scientific nature and acc

Abstract: A method for evaluating the service performance of transportation infrastructure health monitoring systems and a device therefor. The method includes: placing the provided external incentive within the road section monitored by the transportation infrastructure health monitoring system to be evaluated; obtaining feedback data corresponding to the external incentive acting within the road section through the standard sensor; constructing a predictive response model of the feedback data within the road section, and combining the predictive response model with the feedback data to obtain predicted data; obtaining measured data through the transportation infrastructure health monitoring system to be evaluated; conducting an evaluation and a calibration on service performance of the transportation infrastructure health monitoring system to be evaluated based on the predicted data and the measured data.

Abstract: A method for evaluating a probability of road collapse is provided, which includes: collecting road data information of the road to be analyzed, and obtaining road soil layer information and underground pipeline information respectively through the road data information; determining road soil layer deterioration factors based on the road soil layer information; constructing a deterioration factor influence intensity model combined with the road soil layer information to obtain the probability of the influence of the road soil layer deterioration factors; constructing an underground pipeline deterioration influence intensity model combined with the underground pipeline information to obtain the probability of the underground pipeline deterioration influence; summarizing the probability of the influence of the road soil layer deterioration factors and the probability of the underground pipeline deterioration influence, and then evaluating the probability of road collapse, improving the scientific nature and acc

Abstract: A passive excitation-based online calibration method for a bridge structural monitoring system, comprising: taking a dynamic load of a normal passing vehicle of a bridge as a passive excitation source to act on a bridge structure; an RS and an SMS to be calibrated continuously and synchronously acquiring strain data of the bridge structure, and forming measurement data sequences according to time sequencing; calculating an instantaneous measurement error, a period measurement error, and a basic error of the SMS according to the measurement data sequences respectively acquired by the RS and the SMS to be calibrated; and taking the instantaneous measurement error, and/or the period measurement error, and/or the basic error as a calibration basis to perform online calibration on the metrology performance of the SMS.

Abstract: A porous material comprises a porous material substrate and nanostructure arrays that are in-situ grown on the porous material substrate; wherein a surface modification layer is arranged on the surface of the nanoarrays, and the surface modification layer is configured to increase the adhesion force between the nanoarrays and the microbes. The porous material is applied to disinfection, which comprises the steps: The porous material with the surface-modified nanoarrays is placed in flowing water, the water flow passes through the gaps of the nanoarrays in a shuttling mode, and in the shuttling flowing process, microbes come into contact with the nanoarrays. The microbes are torn up through the hydrodynamic force and the adhesion force between the nanoarrays and the microbes, so that the microbes are physically ruptured to achieve disinfection.

Abstract: Disclosed are a method for automatically diagnosing and controlling an apparatus in an intelligent building and relevant device. The method includes: performing, based on historical data of working parameters of multiple apparatuses, an abnormal diagnosis on received real-time data of the working parameters; determining an abnormal apparatus; selecting a neural network predictive control model corresponding to the abnormal apparatus; selecting one piece of non-abnormal data which has a same parameter type as that of the abnormal data and is close to the current abnormal data in time as a predictive control target, and determining a predictive control data that can cause an output matching the predictive control target; and controlling the abnormal apparatus according to the predictive control data. The automatic diagnosis and automatic control of an apparatus in an intelligent building are realized, meanwhile the safe and efficient operation of all apparatuses in an intelligent building is ensured.

Abstract: A user privacy data-based recommendation method includes sending a user preference tag to a cloud, where the user preference tag includes a first generalized tag obtained after a first tag generated based on privacy data of a user is generalized, receiving a plurality of resource items found by the cloud from a resource library based on the user preference tag, and selecting a recommended resource item from the plurality of resource items.

Abstract: A prediction control method is suitable for a display device to display an input moving signal. The prediction control method includes matching a plurality of coordinates corresponding to the input moving signal with a plurality of specific coordinates of the display device and predicting the input moving signal, so that the display device displays the predicted coordinates of the input moving signal.

Abstract: Snapshot Isolation (SI) is an established model in the database community, which permits write-read conflicts to pass and aborts transactions only on write-write conflicts. With the Write Skew Anomaly (WSA) correctly eliminated, SI can reduce the occurrence of aborts, save the work done by transactions, and greatly benefit long transactions involving complex data structures. Embodiments include a multi-versioned memory subsystem for hardware-based transactional memory (HTM) on the GPU, with a method for eliminating the WSA on the fly, and incorporates SI. The GPU HTM can provide reduced compute time for some compute tasks.

Abstract: A computer system implementing transactional memory. The computing system includes a plurality of Single Instruction Multiple Thread (SIMT) cores and a conflicting address table (CAT) for each core. The CAT stores word addresses for reads and writes correlated with flags indicating whether a corresponding word is written or read by a committing transaction. The CATs for the different SIMT cores are coupled together by an interconnect. A commit unit (CU) is coupled to the SIMT cores and is configured to validate transactions. The cores access its CAT to access a first address of data affected by a first transaction to be committed at the CU. The first address is compared to a second address affected by a second transaction. When the first address matches the second address, the core delays or prevents committing the first transaction at the CU by pausing the first transaction or aborting the first transaction.

Abstract: Embodiments of the present invention include methods for increasing off-chip bandwidth. The method includes designing a circuit of switchable pins, replacing a portion of allocated pins of a processor with switchable pins, connecting the processor to a memory interface configured to switch the switchable pins between a power mode and a signal mode, providing a metric configured to identify which of the power mode and the signal mode is most beneficial during 1 millisecond intervals, and switching the switchable pins to signal mode during intervals where the signal mode provides more benefit than the power mode.

Abstract: Disclosed are a method for automatically diagnosing and controlling an apparatus in an intelligent building and relevant device. The method includes: performing, based on historical data of working parameters of multiple apparatuses, an abnormal diagnosis on received real-time data of the working parameters; determining an abnormal apparatus; selecting a neural network predictive control model corresponding to the abnormal apparatus; selecting one piece of non-abnormal data which has a same parameter type as that of the abnormal data and is close to the current abnormal data in time as a predictive control target, and determining a predictive control data that can cause an output matching the predictive control target; and controlling the abnormal apparatus according to the predictive control data. The automatic diagnosis and automatic control of an apparatus in an intelligent building are realized, meanwhile the safe and efficient operation of all apparatuses in an intelligent building is ensured.

Abstract: Embodiments of the present invention include methods for increasing off-chip bandwidth. The method includes designing a circuit of switchable pins, replacing a portion of allocated pins of a processor with switchable pins, connecting the processor to a memory interface configured to switch the switchable pins between a power mode and a signal mode, providing a metric configured to identify which of the power mode and the signal mode is most beneficial during 1 millisecond intervals, and switching the switchable pins to signal mode during intervals where the signal mode provides more benefit than the power mode.

Abstract: Snapshot Isolation (SI) is an established model in the database community, which permits write-read conflicts to pass and aborts transactions only on write-write conflicts. With the Write Skew Anomaly (WSA) correctly eliminated, SI can reduce the occurrence of aborts, save the work done by transactions, and greatly benefit long transactions involving complex data structures. Embodiments include a multi-versioned memory subsystem for hardware-based transactional memory (HTM) on the GPU, with a method for eliminating the WSA on the fly, and incorporates SI. The GPU HTM can provide reduced compute time for some compute tasks.

Abstract: Embodiments of the present invention include methods for increasing off-chip bandwidth. The method includes designing a circuit of switchable pins, replacing a portion of allocated pins of a processor with switchable pins, connecting the processor to a memory interface configured to switch the switchable pins between a power mode and a signal mode, providing a metric configured to identify which of the power mode and the signal mode is most beneficial during 1 millisecond intervals, and switching the switchable pins to signal mode during intervals where the signal mode provides more benefit than the power mode.