Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
This paper analyzes the contents of the clinical data of tongue diagnosis of TCM (Traditional Chinese Medicine), and puts forward a method to collect, store and analyze the clinical data of tongue diagnosis. Under the guidance of TCM theory of…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
The trade-off between language expressiveness and system scalability (E&S) is a well-known problem in RDF stream reasoning. Higher expressiveness supports more complex reasoning logic, however, it may also hinder system scalability. Current research…
This paper analyzes the contents of the clinical data of tongue diagnosis of TCM (Traditional Chinese Medicine), and puts forward a method to collect, store and analyze the clinical data of tongue diagnosis. Under the guidance of TCM theory of…
The trade-off between language expressiveness and system scalability (E&S) is a well-known problem in RDF stream reasoning. Higher expressiveness supports more complex reasoning logic, however, it may also hinder system scalability. Current research…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
This paper analyzes the contents of the clinical data of tongue diagnosis of TCM (Traditional Chinese Medicine), and puts forward a method to collect, store and analyze the clinical data of tongue diagnosis. Under the guidance of TCM theory of…
As the first decade of the US shale revolution continues, rod pump systems are still the prominent form of artificial lift. Technological advancements in diagnostic tools for rod pump systems, such as fluid level guns and dynamometers, have enabled…
The trade-off between language expressiveness and system scalability (E&S) is a well-known problem in RDF stream reasoning. Higher expressiveness supports more complex reasoning logic, however, it may also hinder system scalability. Current research…
As the first decade of the US shale revolution continues, rod pump systems are still the prominent form of artificial lift. Technological advancements in diagnostic tools for rod pump systems, such as fluid level guns and dynamometers, have enabled…
Inception of mobile devices and applications have seen an exponential growth of data. Bandwidth limitation for cloud-hosted applications is the "Elephant in the room". This research has designed an algorithm to address the bandwidth limitations by…
Cloud computing has strong computing power and huge storage space. Machine learning algorithm, combining with cloud computing, makes the processing of large-scale data practical. Logistic regression algorithm is a widely popular machine…
In order to calculate the wax deposition rate of crude oil pipelines and discuss its regularity, a pseudo-three-dimensional wax deposition numerical model was established based on computational fluid dynamics and heat transfer theory. The model…
Based on exergoeconomic theory, the energy consumption situation for a typical oil transfer station in eastern China is evaluated. According to the analysis of the distribution for logistics and exergy flow, the crude oil gathering and transportation…
Dual (thermodynamic and kinetic) inhibition effects of piperazine (PZ) and hydrazine (HZ), two representative diamines, on the formation of CH4 hydrate were investigated, primarily focusing on thermodynamic, spectroscopic, and computational analyses…
To study the influence law between pressure loss of conveyor system and parameters of hydraulic transmission system for cutter-suction mining in submarine natural gas hydrate exploitation, such as diameter, velocity, volume fraction and particle…
The temperature drop of waxy crude oil after a shutdown is the basic premise for restarting relative mechanical calculation. However, computational accuracy has been paid much more attention excessively in the relevant techniques proposed in the…
With the increasing requirement of global energy resources, researchers seek for new ways to deal with unconventional crude oil resources. Using the Computational Fluid Dynamics numerical simulation method, the standard k- turbulence model and the…
As a complex mixture, high-hydrogen-sulfide natural gas has a high risk of poisoning and explosions after leakage. This study combined wind tunnel experiments, computational fluid dynamics (CFD) technology, and risk theory to explore the dispersion…