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38 results about "Academic institution" patented technology

An academic institution can provide a broad education of a variety of subjects or be subject-specific and cater to only one field of study. The first academic institution a child will attend is the primary school, at which basic concepts such as reading and introductory mathematics are taught.

Constant temperature metal heat treatment furnace

The invention provides a constant temperature metal heat treatment furnace which comprises a heating device, wherein a heating surface of the heating device is fixed on a furnace wall of the heat treatment furnace; the constant temperature metal heat treatment furnace also comprises a host, a display screen, a keyboard, a signal receiving module, a signal transmitting module and a control module; the signal receiving module mutually communicates with the signal transmitting module by virtue of a wireless network; the signal receiving module, the display screen and the keyboard are respectively connected with the host; and the signal transmitting module and the heating device are respectively connected with the control module. According to the constant temperature metal heat treatment furnace disclosed by the invention, the furnace temperature is automatically monitored and accurately controlled by the control module, the furnace temperature change is monitored in real time, and the metal heat treatment furnace can be widely applied to temperature control in metal heat treatment in enterprises and academic institutions. Meanwhile, remote control of the heat treatment furnace is realized based on a wireless technology, the control distance of the heat treatment furnace is greatly widened, the temperature can be regulated remotely, and the working efficiency is improved.
Owner:TIANJIN HONGZHAO TECH DEV

Learning data processing method of mobile equipment including mobile phone on the basis of big data

The invention discloses a learning data processing method of mobile equipment including a mobile phone on the basis of big data, and relates to the technical field of registering, having classes, examining, evaluating teaching quality and the like. The processing method comprises the following steps: a cloud computing platform summarizes teaching information; the information is subjected to dynamic and static data processing through a data acquisition layer; the processed data is subjected to dynamic and static studying characteristic analysis, so that a data storage layer stores information; and then, the data storage layer feeds data information back to a student, a service mechanism, an operator and a teacher through a precise teaching engine, so that the student, the service mechanism, an academic institution, the operator and the teacher obtain the teaching information from a precise teaching layer through a short message, a multimedia message, a WAP (Wireless Application Protocol), a customer service, a website and other paths. The learning data processing method can meet the requirements of the student on obtaining personalized teaching, then, a learner is precisely positioned through precise big data analysis and a data mining model, teaching resource putting precision is improved, teaching cost is lowered, and teaching quality is improved.
Owner:XIAN FUTURE INT INFORMATION CO LTD +2

Academic institution name entity alignment method based on text features

The invention discloses an academic institution name entity alignment method based on text features. The academic institution name entity alignment method comprises the following five steps: converting English abbreviations into English full names; correcting the error correspondence of the English abbreviation and the English full name; translating to complement English full names and Chinese names; correcting wrong Chinese names; and performing academic institution combination based on the text features. According to the method, entity alignment is carried out by using academic institution data extracted from Chinese and English text data; wherein each part of institution data contains English abbreviation, English full name, Chinese name, geographic position, content loss and a small amount of errors, and finally obtaining a plurality of different names corresponding to the same institution by complementing the missing data, correcting the error data and combining the data of the same institution. According to the method, the organization name text features and the geographic position information are combined for academic organization name entity alignment, the pre-marked organization name corresponding relation and the context semantic information of the name are not needed, and a good entity alignment effect is obtained with low complexity.
Owner:EAST CHINA NORMAL UNIV
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