Sichuan University

Sichuan Changhong Electric Co., Ltd.

University of Electronic Science and Technology of China

Southwest Petroleum University

Chongqing Pingwei Enterprise Co., Ltd.

Beijing Tongtech Co., Ltd.

Dong Liu

Junfeng Wang

Fuchun Sun

Lixiang Liu

Shiping Yang

Xiaosong Zhang

Jun Tang

Yanlong Xu

Yong Ma

Gao Li

Yijian Chen

Yi Zhang

Guiyun Tian

Yan Yan

Fan Li

Bo Li

Shuzhou Li

Bin Gao

Jie Liang

Xin Yu

Jiangfeng Du

Zhenchao Li

Zhiyuan Bai

Ze Chen

Xiaoting Xiao

Qi Yu

Baoxin Xu

Xiaodong Li

Xiangjun Gao

Bang Ju

A method for measuring equivalent circuit parameters and resonant frequency of a piezoelectric resonator, by which the phase-frequency curve of the piezoelectric resonator is measured, and the resonant frequency and the anti-resonant frequency are obtained. Then, the slopes of the phase-frequency curve at the resonant frequency and the anti-resonant frequency are respectively measured. The resonant angular frequency and the anti-resonant angular frequency are also calculated. Finally, the equivalent circuit parameters of the piezoelectric resonator are obtained by solving a system of nonlinear equations.

Method for measuring equivalent circuit parameters and resonant frequency of piezoelectric resonator

The invention relates to a data standardization technology, and discloses an XBRL-based global data standardization platform system and a construction method thereof, so as to efficiently and conveniently integrate various types of data, and implement the data localization and globalization. The system comprises an XBRL DataCloud (XDC), an XBRL financial reporting intelligence platform (FRinp), an XBRL GL interchange platform (GLinp) and an XBRL standard data exchange channel deployed for operation on a server, wherein the XBRL DataCloud (XDC) designs the BIM data architecture of business data based on an abstract data model (ADM), the XBRL financial reporting intelligence platform (FRinp) establishes an extended group taxonomy system (GTS) based on the XDC business report data; the XBRL GL interchange platform (GLinp) establishes a mapping model from XDC to GL taxonomy by the other data except business report data in XDC according to data classification, solidifies the data mapping channel, parses the GL taxonomy through the XBRL intelligence engine (XIE), and automatically maps the relationship between the XDC business data elements and the XBRL GL taxonomy elements; and the XBRL standard data exchange channel is an export of standardized data.

XBRL-based global data standardization platform system and construction method thereof

The present disclosure discloses an information processing method, a cloud service platform and an information processing system. The method includes: receiving, by a cloud service platform, appliance operating data and user data transmitted by a smart home appliance control device; analyzing the appliance operating data and the user data to generate an analysis result; judging whether the analysis result satisfies a preset condition; and transmitting the analysis result to user equipment of the user when the analysis result satisfies the preset condition, so that the user can manage the at least two smart home appliances according to the analysis result received and output by the user equipment.

Information transmitting method, cloud service platform and a smart system for analyzing user data or smart home appliance data

A strain and acoustic wave testing device includes an acoustic wave transmitting terminal, an upper pressure-bearing shaft, corundum ejector pins, an upper displacement slide, a lower displacement slide, a heat insulation shell, a carbon fiber sleeve, a rock sample, a lower pressure-bearing shaft, an acoustic wave receiving terminal, a lower copper electrode, pearl powder, a temperature sensor, a transformer, a temperature-acoustic wave control box, an oscilloscope, an upper copper electrode, and a data collection and processing system.

Strain and acoustic wave testing device and method for high-temperature rock sample

The invention belongs to the field of cloud technology and cloud processing, it discloses an XBRL-based intelligent financial cloud platform system, provides rich accounting services for users in an efficient and convenient manner. The platform system comprises a tenant document, a document tool, an accounting tool and an administration center deployed on a server; the tenant document implements the functions such as order creation, order status query and historical order viewing; the document tool provides such cloud services as image preprocessing, element correction and total element correction; the accounting tool provides such cloud services as rule checking, simulated accounting and accounting reviewing; the administration center is used to provide private cloud management and operation services for financial cloud in an automated, intelligent and standardized manner, consisting of a grain center, a definition center, a construction center, a business center, a user center and an operation center. Furthermore, the invention also provides a construction method and a business implementation method corresponding to the cloud platform system, it is suitable for providing efficient and convenient accounting cloud services.

XBRL-based intelligent financial cloud platform system, construction method and business implementation method thereof

A semiconductor structure, a semiconductor assembly and a power semiconductor device. The semiconductor structure includes: a P-type semiconductor material layer; an N-type semiconductor material layer adjacent to the P-type semiconductor material layer, wherein the N-type semiconductor material layer and the P-type semiconductor material layer together from a PN junction; and a plurality of insulating material layers located outside the PN junction and distributed along the superposition direction of the P-type semiconductor material layer and the N-type semiconductor material layer, wherein the relative dielectric constants of the adjacent insulating material layers are different. The semiconductor structure in the present invention significantly optimizes the distribution of an electric field during the off-state high voltage operation of a device, greatly improves the breakdown voltage of the device, avoids the premature breakdown of the device caused by the concentration effect of the electric field at the edge of the junction.

Semiconductor structure, semiconductor assembly and power semiconductor device

A method of detecting malware in Linux platform through the following steps: use objdump-D command to disassemble ELF format benign software and malware samples to generate assembly files; traverse the generated assembly files one by one, read the ELF files' code segment and meanwhile identify whether the code segment contains main( ) function; analyze the code segment read. Divide assembly code into different basic blocks. Each basic block is marked by its lowest address. Add control flow graph's vertex to the adjacency linked list; establish the relation between basic blocks, add control flow graph's edges to the adjacency linked list and generate a basic control flow graph; extract control flow graph's features and write them into ARFF files; take ARFF files as the data set of a machine learning tool named weka to carry out data mining and construct classifier; classify the ELF samples to be tested by using the classifier.

Method for detecting malware within a linux platform

A kind of congestion improvement method based on the QUIC protocol adds the information of round trip delay in the congestion algorithm, self-adaptive changes the value of &#x3b1; to judge the situation of current network through comparison between the RTT of last time and the current RTT and then adjusts the current target window value in accordance with the current network situation, changing the congestion window based on the cubic growth curve of the cubic algorithm. This improvement method can make the QUIC protocol judge the current network situation more timely and accurately and can make the congestion window change quickly to fully utilize the bandwidth. The maximum congestion window limitation 200 exists in the QUIC protocol, which will not exceed 200 no matter how the congestion window grows. Such limitation largely reduces the throughput rate of QUIC protocol in the network environment with high bandwidth and long round trip delay.

Kind of congestion improvement method based on the QUIC protocol

This invention public a kind of malicious software clustering method expressed based on TLSH feature, which belongs to the analysis and test area of malicious software. Firstly, the Cuckoo Sandbox is used to analyze the malicious software to acquire three kinds of character string features, which are the static feature of the software, resource assess record during operation and API; And then the character strings are disassembled, filtered and sorted and the TLSH algorithm is used to compress them into three groups of feature values with size of 70 characters; Finally the OPTICS algorithm is utilized to realize the automatic classification on the malicious software family. This invention adopts unsupervised learning methods, which does not need the manual tab for the training in advance. The features which are extracted are compressed and expressed by using the TLSH. Under the situation that the feature is not lost, the data dimension is largely lowered and the clustering speed is improved; Through adoption of OPTICS clustering algorithm based on the density, it can not only recognize the cluster of any shape or any number but also largely reduce the influence of the input parameters on the clustering result while improving the efficiency and quality of clustering.

Malicious software clustering method expressed based on TLSH feature

A kind of transmission method based on the learnable power model, which conducts periodic record for the historical change trend of the network. This method conducts weighting smooth processing on the round trip time and judges the changing trend of congestion control window. Then, it establishes model for the relationship between network power and the congestion control widow. When a new ACK is received, it immediately updates the window of power model. Finally, it forecasts the size of the congestion control window of the next time period by combining the congestion window and the network power changing trend. For the network packet loss or time-out events, the retransmission mechanism of traditional TCP is used, and when the packet loss ends, the power model process is used again. This invention reduces the influence of the network random events of the estimation error of traditional algorithm.

Kind of transmission method based on the network learnable power model

A kind of self-adaptive network congestion control method based on SCPS-TP, which includes the following steps: The SCPS-TP's gateway source-end receives and transmits the packets to destination end; Judge if there is new packet received in accordance with the analyzed ACK; If there is no new packet received, when the duplicate ACK counter increase to a certain value, change the window size's growth pattern to linear self-adaptive pattern; If there is new packet received, the congestion control is in the exponential growth pattern. After window is enlarged, Diff is bigger than the set threshold value and the congestion control method is changed to linear self-adaptive pattern; If congestion control is in the linear self-adaptive pattern, adjust window size in accordance with Diff; The SCPS-TP's gateway source-end sends the packets in the packet loss buffer to destination end and sends new packets in accordance with the size of congestion window.

Kind of self-adaptive network congestion control method based on SCPS-TP

Growing community of inventors

Chengdu, China

Dong Liu