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Research on upgrading the informationization of college archives management based on information technology

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29 sept. 2025
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Figure 1.

Overall technical architecture of the system
Overall technical architecture of the system

Figure 2.

Overall functional structure of the system
Overall functional structure of the system

Figure 3.

System framework
System framework

Figure 4.

File sharing process
File sharing process

Figure 5.

The relationship between the metadata and the record structure of the account
The relationship between the metadata and the record structure of the account

Figure 6.

The resulting decision tree
The resulting decision tree

Figure 7.

Comparison chart of communication complexity
Comparison chart of communication complexity

Figure 8.

The throughput of N and K at different values
The throughput of N and K at different values

Department information

Representative department Related department 1 Related department 2 Related department 3 Related department 4
Administration department Dean’s office Personnel department Finance office Asset facilities
Teaching department Provost Tourist school Foreign language institute Institute of financial management
Auxiliary department group Library Education technology center Experimental center

Archives information classification

Serial number Primary class Secondary class Tertiary class
1 DQ Party group Year
2 XZ Administration Year
3 JX Teaching Year
4 KY Scientific research Year
5 JJ Infrastructure Year
6 SB Equipment Year
7 CB Publish Year
8 WS Foreign affairs Year
9 CK Finance council Year
10 SX Acoustic image Year
11 YJ performance Year
12 CP Product production research development Year

The number of communication times of the PBFT consensus algorithm

Node number 100 200 400 500 800 1000
Communication frequency 19752 79635 322500 495000 1296322 1985220

Number of communications for the PAPBFT consensus algorithm

5 10 15 20 25
100 247 383 600 930 1348
200 434 559 801 1120 1558
400 837 954 1176 1527 1946
500 1019 1160 1398 1714 2132
800 1630 1765 1973 2309 2751
1000 2029 2141 2383 2724 3164

Customer personal information feature set after data conversion

Customer Identity Gender Age Majors Visits are frequent
1 Teacher Female ⩾40 Mathematics N
2 Undergraduates Man <20 Chemistry Y
3 Graduate student Female 20~40 Physics Y
4 Teacher Female ⩾40 Chemistry N
5 Graduate student Man ⩾40 Physics Y
6 Undergraduates Man <20 Physics N
7 Graduate student Female 20~40 Mathematics Y
8 Teacher Female 20~40 Mathematics N
9 Graduate student Man <20 Chemistry Y
10 Graduate student Female ⩾40 Physics N

Department group discretization

Attribute setting Attribute value meaning
File information A People are limited to school leaders
B People are limited to school leaders and middle managers
C Consult people on campus