Overview

Dataset statistics

Number of variables8
Number of observations2623
Missing cells15
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory164.1 KiB
Average record size in memory64.1 B

Variable types

Categorical1
Text5
DateTime2

Dataset

Description한국철도기술연구원이 보유한 지식재산권에 대한 메타정보(지재권명, 지재권번호, 지재권일자, 발명자 등) 를 제공합니다
Author한국철도기술연구원
URLhttps://www.data.go.kr/data/15051392/fileData.do

Alerts

구분 has constant value ""Constant
출원번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:50:45.064705
Analysis finished2023-12-12 03:50:46.705272
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
특허
2623 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row특허
2nd row특허
3rd row특허
4th row특허
5th row특허

Common Values

ValueCountFrequency (%)
특허 2623
100.0%

Length

2023-12-12T12:50:46.800547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:50:46.949000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특허 2623
100.0%

지식재산권명
Text

Distinct2557
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2023-12-12T12:50:47.408317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length69
Mean length25.214258
Min length4

Characters and Unicode

Total characters66137
Distinct characters658
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2513 ?
Unique (%)95.8%

Sample

1st row철도차량용 소결합금재 제동라이닝
2nd row히스테리시스 전류제어기를 이용한 앤피시 인버터의 제어장치
3rd row경량전철 제3궤조 집전장치
4th row열차모형시험장치
5th row철도터널 미기압파 저감용 경사갱구형후드
ValueCountFrequency (%)
및 992
 
6.0%
방법 612
 
3.7%
이용한 503
 
3.0%
시스템 487
 
2.9%
장치 399
 
2.4%
그 281
 
1.7%
위한 204
 
1.2%
철도차량용 166
 
1.0%
이를 157
 
0.9%
철도 149
 
0.9%
Other values (5359) 12706
76.3%
2023-12-12T12:50:48.233223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14092
 
21.3%
차 1510
 
2.3%
이 1397
 
2.1%
용 1396
 
2.1%
도 1338
 
2.0%
시 1329
 
2.0%
장 1301
 
2.0%
치 1268
 
1.9%
방 1191
 
1.8%
의 1127
 
1.7%
Other values (648) 40188
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51283
77.5%
Space Separator 14092
 
21.3%
Uppercase Letter 401
 
0.6%
Lowercase Letter 140
 
0.2%
Decimal Number 102
 
0.2%
Other Punctuation 70
 
0.1%
Dash Punctuation 24
 
< 0.1%
Close Punctuation 12
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 1510
 
2.9%
이 1397
 
2.7%
용 1396
 
2.7%
도 1338
 
2.6%
시 1329
 
2.6%
장 1301
 
2.5%
치 1268
 
2.5%
방 1191
 
2.3%
의 1127
 
2.2%
스 1116
 
2.2%
Other values (585) 38310
74.7%
Uppercase Letter
ValueCountFrequency (%)
P 48
12.0%
C 47
11.7%
T 41
10.2%
M 39
9.7%
D 33
8.2%
S 30
 
7.5%
R 29
 
7.2%
I 20
 
5.0%
L 18
 
4.5%
A 16
 
4.0%
Other values (16) 80
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 17
12.1%
i 13
 
9.3%
a 12
 
8.6%
o 12
 
8.6%
t 11
 
7.9%
l 10
 
7.1%
r 8
 
5.7%
n 8
 
5.7%
d 7
 
5.0%
m 6
 
4.3%
Other values (11) 36
25.7%
Decimal Number
ValueCountFrequency (%)
3 31
30.4%
2 28
27.5%
0 18
17.6%
5 14
13.7%
1 8
 
7.8%
7 2
 
2.0%
4 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 45
64.3%
. 12
 
17.1%
/ 11
 
15.7%
· 2
 
2.9%
Space Separator
ValueCountFrequency (%)
14092
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51283
77.5%
Common 14313
 
21.6%
Latin 541
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 1510
 
2.9%
이 1397
 
2.7%
용 1396
 
2.7%
도 1338
 
2.6%
시 1329
 
2.6%
장 1301
 
2.5%
치 1268
 
2.5%
방 1191
 
2.3%
의 1127
 
2.2%
스 1116
 
2.2%
Other values (585) 38310
74.7%
Latin
ValueCountFrequency (%)
P 48
 
8.9%
C 47
 
8.7%
T 41
 
7.6%
M 39
 
7.2%
D 33
 
6.1%
S 30
 
5.5%
R 29
 
5.4%
I 20
 
3.7%
L 18
 
3.3%
e 17
 
3.1%
Other values (37) 219
40.5%
Common
ValueCountFrequency (%)
14092
98.5%
, 45
 
0.3%
3 31
 
0.2%
2 28
 
0.2%
- 24
 
0.2%
0 18
 
0.1%
5 14
 
0.1%
) 12
 
0.1%
( 12
 
0.1%
. 12
 
0.1%
Other values (6) 25
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51281
77.5%
ASCII 14848
 
22.5%
None 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14092
94.9%
P 48
 
0.3%
C 47
 
0.3%
, 45
 
0.3%
T 41
 
0.3%
M 39
 
0.3%
D 33
 
0.2%
3 31
 
0.2%
S 30
 
0.2%
R 29
 
0.2%
Other values (48) 413
 
2.8%
Hangul
ValueCountFrequency (%)
차 1510
 
2.9%
이 1397
 
2.7%
용 1396
 
2.7%
도 1338
 
2.6%
시 1329
 
2.6%
장 1301
 
2.5%
치 1268
 
2.5%
방 1191
 
2.3%
의 1127
 
2.2%
스 1116
 
2.2%
Other values (584) 38308
74.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
None
ValueCountFrequency (%)
· 2
33.3%
× 1
16.7%
Ｌ 1
16.7%
Ｓ 1
16.7%
Ｍ 1
16.7%

발명자
Text

Distinct2026
Distinct (%)77.3%
Missing3
Missing (%)0.1%
Memory size20.6 KiB
2023-12-12T12:50:48.669141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length106
Mean length34.683969
Min length8

Characters and Unicode

Total characters90872
Distinct characters177
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1722 ?
Unique (%)65.7%

Sample

1st row최경진[최경진]; 권석진[권석진]
2nd row이병송[이병송]
3rd row김연수[김연수]; 정락교[정락교]; 박성혁[박성혁]
4th row김동현[김동현]
5th row김동현[김동현]
ValueCountFrequency (%)
서승일[서승일 187
 
1.9%
문형석[문형석 174
 
1.8%
김길동[김길동 134
 
1.4%
이병송[이병송 115
 
1.2%
안태기[안태기 111
 
1.2%
사공명[사공명 107
 
1.1%
김용규[김용규 94
 
1.0%
박덕신[박덕신 94
 
1.0%
오세찬[오세찬 94
 
1.0%
김진호[김진호 92
 
1.0%
Other values (437) 8440
87.5%
2023-12-12T12:50:49.224407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
] 9642
 
10.6%
[ 9642
 
10.6%
7022
 
7.7%
; 7022
 
7.7%
김 3752
 
4.1%
이 3400
 
3.7%
정 1936
 
2.1%
호 1758
 
1.9%
박 1708
 
1.9%
현 1454
 
1.6%
Other values (167) 43536
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57532
63.3%
Close Punctuation 9642
 
10.6%
Open Punctuation 9642
 
10.6%
Space Separator 7022
 
7.7%
Other Punctuation 7022
 
7.7%
Lowercase Letter 10
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 3752
 
6.5%
이 3400
 
5.9%
정 1936
 
3.4%
호 1758
 
3.1%
박 1708
 
3.0%
현 1454
 
2.5%
영 1416
 
2.5%
용 1218
 
2.1%
석 1190
 
2.1%
기 1178
 
2.0%
Other values (158) 38522
67.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
40.0%
a 2
20.0%
y 2
20.0%
u 2
20.0%
Close Punctuation
ValueCountFrequency (%)
] 9642
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 9642
100.0%
Space Separator
ValueCountFrequency (%)
7022
100.0%
Other Punctuation
ValueCountFrequency (%)
; 7022
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57532
63.3%
Common 33328
36.7%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 3752
 
6.5%
이 3400
 
5.9%
정 1936
 
3.4%
호 1758
 
3.1%
박 1708
 
3.0%
현 1454
 
2.5%
영 1416
 
2.5%
용 1218
 
2.1%
석 1190
 
2.1%
기 1178
 
2.0%
Other values (158) 38522
67.0%
Latin
ValueCountFrequency (%)
n 4
33.3%
S 2
16.7%
a 2
16.7%
y 2
16.7%
u 2
16.7%
Common
ValueCountFrequency (%)
] 9642
28.9%
[ 9642
28.9%
7022
21.1%
; 7022
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57532
63.3%
ASCII 33340
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
] 9642
28.9%
[ 9642
28.9%
7022
21.1%
; 7022
21.1%
n 4
 
< 0.1%
S 2
 
< 0.1%
a 2
 
< 0.1%
y 2
 
< 0.1%
u 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
김 3752
 
6.5%
이 3400
 
5.9%
정 1936
 
3.4%
호 1758
 
3.1%
박 1708
 
3.0%
현 1454
 
2.5%
영 1416
 
2.5%
용 1218
 
2.1%
석 1190
 
2.1%
기 1178
 
2.0%
Other values (158) 38522
67.0%

출원번호
Text

UNIQUE 

Distinct2623
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2023-12-12T12:50:49.456609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.93252
Min length12

Characters and Unicode

Total characters39168
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2623 ?
Unique (%)100.0%

Sample

1st row10-1996-0044540
2nd row10-1998-0045043
3rd row10-1999-0031331
4th row10-1999-0047746
5th row10-1999-0051346
ValueCountFrequency (%)
10-1996-0044540 1
 
< 0.1%
10-2015-0080114 1
 
< 0.1%
10-2015-0129186 1
 
< 0.1%
10-2015-0129171 1
 
< 0.1%
10-2015-0107294 1
 
< 0.1%
10-2015-0097528 1
 
< 0.1%
10-2015-0123861 1
 
< 0.1%
10-2015-0120579 1
 
< 0.1%
10-2015-0126447 1
 
< 0.1%
10-2015-0146304 1
 
< 0.1%
Other values (2613) 2613
99.6%
2023-12-12T12:50:49.827363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11260
28.7%
1 7219
18.4%
- 5246
13.4%
2 4396
 
11.2%
4 1737
 
4.4%
3 1736
 
4.4%
9 1623
 
4.1%
5 1561
 
4.0%
6 1471
 
3.8%
7 1467
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33922
86.6%
Dash Punctuation 5246
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11260
33.2%
1 7219
21.3%
2 4396
 
13.0%
4 1737
 
5.1%
3 1736
 
5.1%
9 1623
 
4.8%
5 1561
 
4.6%
6 1471
 
4.3%
7 1467
 
4.3%
8 1452
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 5246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11260
28.7%
1 7219
18.4%
- 5246
13.4%
2 4396
 
11.2%
4 1737
 
4.4%
3 1736
 
4.4%
9 1623
 
4.1%
5 1561
 
4.0%
6 1471
 
3.8%
7 1467
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11260
28.7%
1 7219
18.4%
- 5246
13.4%
2 4396
 
11.2%
4 1737
 
4.4%
3 1736
 
4.4%
9 1623
 
4.1%
5 1561
 
4.0%
6 1471
 
3.8%
7 1467
 
3.7%

출원일
Date

Distinct1421
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Minimum1996-10-08 00:00:00
Maximum2022-03-16 00:00:00
2023-12-12T12:50:50.002824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:50.159950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

Distinct2620
Distinct (%)100.0%
Missing3
Missing (%)0.1%
Memory size20.6 KiB
2023-12-12T12:50:50.519095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.5667939
Min length6

Characters and Unicode

Total characters25065
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2620 ?
Unique (%)100.0%

Sample

1st row185277
2nd row319551
3rd row307501
4th row10-0367627
5th row10-0365955
ValueCountFrequency (%)
10-0357376 1
 
< 0.1%
10-1731888 1
 
< 0.1%
10-1728709 1
 
< 0.1%
10-1716857 1
 
< 0.1%
10-1646023 1
 
< 0.1%
10-1811377 1
 
< 0.1%
10-1700182 1
 
< 0.1%
10-1797726 1
 
< 0.1%
10-1736130 1
 
< 0.1%
10-1703098 1
 
< 0.1%
Other values (2610) 2610
99.6%
2023-12-12T12:50:51.146018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5450
21.7%
0 4176
16.7%
- 2338
9.3%
2 2063
 
8.2%
4 1693
 
6.8%
3 1627
 
6.5%
6 1600
 
6.4%
9 1576
 
6.3%
7 1536
 
6.1%
5 1528
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22727
90.7%
Dash Punctuation 2338
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5450
24.0%
0 4176
18.4%
2 2063
 
9.1%
4 1693
 
7.4%
3 1627
 
7.2%
6 1600
 
7.0%
9 1576
 
6.9%
7 1536
 
6.8%
5 1528
 
6.7%
8 1478
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 2338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25065
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5450
21.7%
0 4176
16.7%
- 2338
9.3%
2 2063
 
8.2%
4 1693
 
6.8%
3 1627
 
6.5%
6 1600
 
6.4%
9 1576
 
6.3%
7 1536
 
6.1%
5 1528
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5450
21.7%
0 4176
16.7%
- 2338
9.3%
2 2063
 
8.2%
4 1693
 
6.8%
3 1627
 
6.5%
6 1600
 
6.4%
9 1576
 
6.3%
7 1536
 
6.1%
5 1528
 
6.1%

등록일
Date

Distinct1458
Distinct (%)55.6%
Missing3
Missing (%)0.1%
Memory size20.6 KiB
Minimum1998-12-23 00:00:00
Maximum2022-12-05 00:00:00
2023-12-12T12:50:51.361289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:51.575111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

과제코드
Text

Distinct980
Distinct (%)37.4%
Missing6
Missing (%)0.2%
Memory size20.6 KiB
2023-12-12T12:50:51.975493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.4994268
Min length1

Characters and Unicode

Total characters19626
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique398 ?
Unique (%)15.2%

Sample

1st rowR96002
2nd rowMT98101B
3rd rowMT99101D
4th rowHS981053A
5th rowHS981053A
ValueCountFrequency (%)
sw08002 28
 
1.1%
pk13007e 22
 
0.8%
pk03104 18
 
0.7%
nt09002 17
 
0.6%
pk13007f 17
 
0.6%
mt03102a 16
 
0.6%
pk12006b 15
 
0.6%
pk12006a 15
 
0.6%
sw11002 15
 
0.6%
pk14004c 14
 
0.5%
Other values (969) 2439
93.2%
2023-12-12T12:50:52.632365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5403
27.5%
1 3141
16.0%
P 1439
 
7.3%
K 1353
 
6.9%
2 1077
 
5.5%
3 764
 
3.9%
4 587
 
3.0%
A 546
 
2.8%
T 450
 
2.3%
6 444
 
2.3%
Other values (25) 4422
22.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12909
65.8%
Uppercase Letter 6675
34.0%
Dash Punctuation 41
 
0.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 1439
21.6%
K 1353
20.3%
A 546
 
8.2%
T 450
 
6.7%
C 405
 
6.1%
B 393
 
5.9%
R 345
 
5.2%
S 325
 
4.9%
M 243
 
3.6%
N 200
 
3.0%
Other values (13) 976
14.6%
Decimal Number
ValueCountFrequency (%)
0 5403
41.9%
1 3141
24.3%
2 1077
 
8.3%
3 764
 
5.9%
4 587
 
4.5%
6 444
 
3.4%
5 424
 
3.3%
7 414
 
3.2%
9 360
 
2.8%
8 295
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12951
66.0%
Latin 6675
34.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 1439
21.6%
K 1353
20.3%
A 546
 
8.2%
T 450
 
6.7%
C 405
 
6.1%
B 393
 
5.9%
R 345
 
5.2%
S 325
 
4.9%
M 243
 
3.6%
N 200
 
3.0%
Other values (13) 976
14.6%
Common
ValueCountFrequency (%)
0 5403
41.7%
1 3141
24.3%
2 1077
 
8.3%
3 764
 
5.9%
4 587
 
4.5%
6 444
 
3.4%
5 424
 
3.3%
7 414
 
3.2%
9 360
 
2.8%
8 295
 
2.3%
Other values (2) 42
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5403
27.5%
1 3141
16.0%
P 1439
 
7.3%
K 1353
 
6.9%
2 1077
 
5.5%
3 764
 
3.9%
4 587
 
3.0%
A 546
 
2.8%
T 450
 
2.3%
6 444
 
2.3%
Other values (25) 4422
22.5%

Missing values

2023-12-12T12:50:46.204056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:50:46.406098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T12:50:46.598025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분지식재산권명발명자출원번호출원일등록번호등록일과제코드
0특허철도차량용 소결합금재 제동라이닝최경진[최경진]; 권석진[권석진]10-1996-00445401996-10-081852771998-12-23R96002
1특허히스테리시스 전류제어기를 이용한 앤피시 인버터의 제어장치이병송[이병송]10-1998-00450431998-10-273195512001-12-20MT98101B
2특허경량전철 제3궤조 집전장치김연수[김연수]; 정락교[정락교]; 박성혁[박성혁]10-1999-00313311999-07-303075012001-08-21MT99101D
3특허열차모형시험장치김동현[김동현]10-1999-00477461999-10-3010-03676272002-12-26HS981053A
4특허철도터널 미기압파 저감용 경사갱구형후드김동현[김동현]10-1999-00513461999-11-1810-03659552002-12-11HS981053A
5특허철도터널 미기압파 저감용 슬릿후드김동현[김동현]10-1999-00513471999-11-1810-03319542002-03-26HS981053A
6특허철도터널 미기압파 저감용 통풍공형 후드김동현[김동현]10-1999-00513481999-11-1810-03319552002-03-26HS981053A
7특허차량 장착용 승하차 안전발판문형석[문형석]10-1999-00553211999-12-073182122001-12-07MT99101C
8특허플랫홈 장착용 승하차안전발판문형석[문형석]10-1999-00553201999-12-0710-03182112001-12-07MT99101C
9특허철도차량 모의관성 부하장치의 인버터 재점착 시험용 클러치김길동[김길동]; 한영재[한영재]; 박현준[박현준]; 변윤섭[변윤섭]10-1999-00553181999-12-073175602001-12-03MT99101E
구분지식재산권명발명자출원번호출원일등록번호등록일과제코드
2613특허지열을 이용한 산악철도용 랙 궤도의 융설 시스템 및 그 방법엄기영[엄기영]; 김태훈[김태훈]; 김민경[김민경]; 김자연[김자연]10-2021-01081482021-08-1710-23940482022-04-29ER21002
2614특허듀얼 센서를 사용한 레일 프로파일 측정장치정우태[정우태]; 윤란희[윤란희]10-2021-01227852021-09-1410-24136502022-06-22MT21044
2615특허레일 프로파일 측정장치정우태[정우태]10-2021-01227862021-09-1410-24032012022-05-24MT21044
2616특허브라켓을 이용한 철도용 일탈방호시설 및 그 시공방법(브라켓형 DCP)강윤석[강윤석]; 방춘석[방춘석]; 신승권[신승권]; 김태훈[김태훈]10-2021-01224322021-09-1410-23805872022-03-25MT21041
2617특허격자프레임을 이용한 철도용 일탈방호시설 및 그 시공방법강윤석[강윤석]; 방춘석[방춘석]; 신승권[신승권]; 김태훈[김태훈]10-2021-01224462021-09-1410-23805902022-03-25MT21041
2618특허철도차량의 실시간 현차 디버깅 및 시뮬레이션 시스템온정근[온정근]10-2021-01441972021-10-2710-24119452022-06-17RC21001
2619특허철도용 하드웨어/소프트웨어 통합 시뮬레이터 구조온정근[온정근]10-2021-01441982021-10-2710-24010242022-05-18RC21001
2620특허멜로디 산악철도엄기영[엄기영]; 김태훈[김태훈]; 고효인[고효인]; 김민경[김민경]; 김자연[김자연]10-2021-01361022021-10-1310-23622032022-02-08ER21002
2621특허열차의 승객 이용량에 대응한 실시간 가변 개찰구 시스템남성원[남성원]10-2022-00019822022-01-0610-24753272022-12-02PK2101C1
2622특허비경화성 그라우팅재를 이용한 무도상 궤도의 노반침하 복원장치 및 그 시공방법이성혁[이성혁]; 엄기영[엄기영]; 신정열[신정열]; 최찬용[최찬용]10-2022-00326192022-03-1610-24291002022-08-01ER22001B