Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells12802
Missing cells (%)16.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Numeric1
Text3
Categorical2
DateTime2

Dataset

Description국방과학연구소의 지식재산권 현황 데이터로 지식재산권 명칭, 출원구분, 출원국, 출원일자 등의 정보 확인이 가능합니다.
Author국방과학연구소
URLhttps://www.data.go.kr/data/15073608/fileData.do

Alerts

출원구분 is highly imbalanced (58.6%)Imbalance
출원국 is highly imbalanced (95.2%)Imbalance
출원일자 has 6401 (64.0%) missing valuesMissing
출원번호 has 6401 (64.0%) missing valuesMissing
순번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:19:01.586553
Analysis finished2023-12-12 17:19:03.281823
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7215.5579
Minimum2
Maximum14351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:19:03.379645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile749.9
Q13594.5
median7217.5
Q310839.75
95-th percentile13640.2
Maximum14351
Range14349
Interquartile range (IQR)7245.25

Descriptive statistics

Standard deviation4152.5078
Coefficient of variation (CV)0.57549366
Kurtosis-1.2128201
Mean7215.5579
Median Absolute Deviation (MAD)3623.5
Skewness-0.0064629144
Sum72155579
Variance17243321
MonotonicityNot monotonic
2023-12-13T02:19:03.551040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
425 1
 
< 0.1%
7891 1
 
< 0.1%
1391 1
 
< 0.1%
12267 1
 
< 0.1%
517 1
 
< 0.1%
7265 1
 
< 0.1%
10164 1
 
< 0.1%
9039 1
 
< 0.1%
583 1
 
< 0.1%
11700 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
8 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
18 1
< 0.1%
ValueCountFrequency (%)
14351 1
< 0.1%
14350 1
< 0.1%
14348 1
< 0.1%
14346 1
< 0.1%
14344 1
< 0.1%
14343 1
< 0.1%
14342 1
< 0.1%
14340 1
< 0.1%
14339 1
< 0.1%
14338 1
< 0.1%

지식재산권 명칭
Text

Distinct9874
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:19:03.929335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length202
Median length97
Mean length27.673
Min length2

Characters and Unicode

Total characters276730
Distinct characters919
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9779 ?
Unique (%)97.8%

Sample

1st row인체 거동이 예측 가능한 인체 모델링 시스템 및 방법
2nd row변환 모사 모듈
3rd row씨플러스플러스 프로그램 가상포인터 취약점 공격에 대한 완화 기법 평가 소프트웨어
4th row확산 방지층을 이용한 실리콘 광증배 소자 및 그 제조 방법
5th row다 계층 네트워크에서 다중 경로 전송을 위한 패킷 분배 시스템 및 그 방법
ValueCountFrequency (%)
프로그램 4094
 
6.2%
및 3121
 
4.7%
방법 1754
 
2.6%
장치 1174
 
1.8%
소프트웨어 1048
 
1.6%
이용한 913
 
1.4%
위한 872
 
1.3%
분석 745
 
1.1%
시스템 697
 
1.0%
기반 468
 
0.7%
Other values (16245) 51559
77.6%
2023-12-13T02:19:04.552880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56838
 
20.5%
프 5981
 
2.2%
이 5610
 
2.0%
로 5457
 
2.0%
그 5196
 
1.9%
램 4459
 
1.6%
기 3989
 
1.4%
시 3551
 
1.3%
및 3147
 
1.1%
의 3145
 
1.1%
Other values (909) 179357
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201652
72.9%
Space Separator 56838
 
20.5%
Uppercase Letter 7773
 
2.8%
Lowercase Letter 5407
 
2.0%
Decimal Number 1948
 
0.7%
Other Punctuation 1228
 
0.4%
Open Punctuation 611
 
0.2%
Close Punctuation 606
 
0.2%
Dash Punctuation 552
 
0.2%
Control 54
 
< 0.1%
Other values (3) 61
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 5981
 
3.0%
이 5610
 
2.8%
로 5457
 
2.7%
그 5196
 
2.6%
램 4459
 
2.2%
기 3989
 
2.0%
시 3551
 
1.8%
및 3147
 
1.6%
의 3145
 
1.6%
용 3111
 
1.5%
Other values (772) 158006
78.4%
Uppercase Letter
ValueCountFrequency (%)
S 798
 
10.3%
A 665
 
8.6%
M 527
 
6.8%
P 496
 
6.4%
I 443
 
5.7%
T 442
 
5.7%
R 427
 
5.5%
D 421
 
5.4%
E 396
 
5.1%
V 390
 
5.0%
Other values (40) 2768
35.6%
Lowercase Letter
ValueCountFrequency (%)
e 764
14.1%
r 646
11.9%
i 483
 
8.9%
o 460
 
8.5%
a 421
 
7.8%
n 416
 
7.7%
t 365
 
6.8%
s 254
 
4.7%
l 212
 
3.9%
m 167
 
3.1%
Other values (33) 1219
22.5%
Decimal Number
ValueCountFrequency (%)
1 529
27.2%
0 502
25.8%
2 297
15.2%
3 246
12.6%
5 121
 
6.2%
4 84
 
4.3%
6 71
 
3.6%
8 40
 
2.1%
7 25
 
1.3%
9 19
 
1.0%
Other values (6) 14
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 496
40.4%
, 443
36.1%
/ 238
19.4%
& 33
 
2.7%
: 7
 
0.6%
' 4
 
0.3%
· 2
 
0.2%
* 2
 
0.2%
; 1
 
0.1%
／ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 2
28.6%
~ 2
28.6%
× 2
28.6%
∫ 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 605
99.0%
[ 4
 
0.7%
〔 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 600
99.0%
] 4
 
0.7%
〕 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 547
99.1%
－ 4
 
0.7%
― 1
 
0.2%
Space Separator
ValueCountFrequency (%)
56838
100.0%
Control
ValueCountFrequency (%)
54
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 53
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201649
72.9%
Common 61898
 
22.4%
Latin 13176
 
4.8%
Greek 4
 
< 0.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 5981
 
3.0%
이 5610
 
2.8%
로 5457
 
2.7%
그 5196
 
2.6%
램 4459
 
2.2%
기 3989
 
2.0%
시 3551
 
1.8%
및 3147
 
1.6%
의 3145
 
1.6%
용 3111
 
1.5%
Other values (769) 158003
78.4%
Latin
ValueCountFrequency (%)
S 798
 
6.1%
e 764
 
5.8%
A 665
 
5.0%
r 646
 
4.9%
M 527
 
4.0%
P 496
 
3.8%
i 483
 
3.7%
o 460
 
3.5%
I 443
 
3.4%
T 442
 
3.4%
Other values (80) 7452
56.6%
Common
ValueCountFrequency (%)
56838
91.8%
( 605
 
1.0%
) 600
 
1.0%
- 547
 
0.9%
1 529
 
0.9%
0 502
 
0.8%
. 496
 
0.8%
, 443
 
0.7%
2 297
 
0.5%
3 246
 
0.4%
Other values (34) 795
 
1.3%
Greek
ValueCountFrequency (%)
μ 2
50.0%
α 1
25.0%
β 1
25.0%
Han
ValueCountFrequency (%)
位 1
33.3%
方 1
33.3%
全 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201647
72.9%
ASCII 74807
 
27.0%
None 269
 
0.1%
CJK 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56838
76.0%
S 798
 
1.1%
e 764
 
1.0%
A 665
 
0.9%
r 646
 
0.9%
( 605
 
0.8%
) 600
 
0.8%
- 547
 
0.7%
1 529
 
0.7%
M 527
 
0.7%
Other values (71) 12288
 
16.4%
Hangul
ValueCountFrequency (%)
프 5981
 
3.0%
이 5610
 
2.8%
로 5457
 
2.7%
그 5196
 
2.6%
램 4459
 
2.2%
기 3989
 
2.0%
시 3551
 
1.8%
및 3147
 
1.6%
의 3145
 
1.6%
용 3111
 
1.5%
Other values (768) 158001
78.4%
None
ValueCountFrequency (%)
Ｐ 22
 
8.2%
Ｓ 22
 
8.2%
Ａ 19
 
7.1%
Ｍ 18
 
6.7%
Ｆ 12
 
4.5%
Ｒ 12
 
4.5%
Ｃ 12
 
4.5%
Ｄ 11
 
4.1%
Ｉ 10
 
3.7%
Ｔ 10
 
3.7%
Other values (44) 121
45.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Math Operators
ValueCountFrequency (%)
∫ 1
100.0%
Punctuation
ValueCountFrequency (%)
― 1
100.0%
CJK
ValueCountFrequency (%)
位 1
33.3%
方 1
33.3%
全 1
33.3%

출원구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국내 저작권
6401 
특허
3582 
디자인
 
8
상표
 
6
실용신안
 
3

Length

Max length6
Median length6
Mean length4.5618
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 저작권 6401
64.0%
특허 3582
35.8%
디자인 8
 
0.1%
상표 6
 
0.1%
실용신안 3
 
< 0.1%

Length

2023-12-13T02:19:04.772768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:19:04.961082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 6401
39.0%
저작권 6401
39.0%
특허 3582
21.8%
디자인 8
 
< 0.1%
상표 6
 
< 0.1%
실용신안 3
 
< 0.1%

출원국
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대한민국
9784 
미국
 
141
프랑스
 
19
일본
 
13
유럽
 
10
Other values (12)
 
33

Length

Max length5
Median length4
Mean length3.9605
Min length2

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 9784
97.8%
미국 141
 
1.4%
프랑스 19
 
0.2%
일본 13
 
0.1%
유럽 10
 
0.1%
영국 9
 
0.1%
터키 5
 
0.1%
독일 4
 
< 0.1%
호주 4
 
< 0.1%
이스라엘 3
 
< 0.1%
Other values (7) 8
 
0.1%

Length

2023-12-13T02:19:05.138995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 9784
97.8%
미국 141
 
1.4%
프랑스 19
 
0.2%
일본 13
 
0.1%
유럽 10
 
0.1%
영국 9
 
0.1%
터키 5
 
< 0.1%
호주 4
 
< 0.1%
독일 4
 
< 0.1%
이스라엘 3
 
< 0.1%
Other values (7) 8
 
0.1%

출원일자
Date

MISSING 

Distinct1848
Distinct (%)51.3%
Missing6401
Missing (%)64.0%
Memory size156.2 KiB
Minimum1997-10-10 00:00:00
Maximum2022-09-30 00:00:00
2023-12-13T02:19:05.584658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:19:05.777796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출원번호
Text

MISSING 

Distinct3590
Distinct (%)99.7%
Missing6401
Missing (%)64.0%
Memory size156.2 KiB
2023-12-13T02:19:06.073091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length14.680745
Min length6

Characters and Unicode

Total characters52836
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3587 ?
Unique (%)99.7%

Sample

1st row10-2020-0026198
2nd row10-2014-0152753
3rd row10-2018-0160319
4th row10-2019-0123162
5th row10-2013-0084854
ValueCountFrequency (%)
10767341 7
 
0.2%
us 5
 
0.1%
12 3
 
0.1%
12192998.8 3
 
0.1%
837.8 2
 
0.1%
184 2
 
0.1%
10 2
 
0.1%
13/584,048 1
 
< 0.1%
10-2021-0057984 1
 
< 0.1%
10-2015-0150760 1
 
< 0.1%
Other values (3590) 3590
99.3%
2023-12-13T02:19:06.576888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14825
28.1%
1 9819
18.6%
- 6780
12.8%
2 6018
11.4%
6 2257
 
4.3%
4 2207
 
4.2%
9 2176
 
4.1%
3 2169
 
4.1%
7 2129
 
4.0%
5 2095
 
4.0%
Other values (14) 2361
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45730
86.6%
Dash Punctuation 6780
 
12.8%
Other Punctuation 287
 
0.5%
Uppercase Letter 19
 
< 0.1%
Space Separator 18
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14825
32.4%
1 9819
21.5%
2 6018
13.2%
6 2257
 
4.9%
4 2207
 
4.8%
9 2176
 
4.8%
3 2169
 
4.7%
7 2129
 
4.7%
5 2095
 
4.6%
8 2035
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
U 5
26.3%
S 5
26.3%
T 2
 
10.5%
R 2
 
10.5%
E 2
 
10.5%
G 1
 
5.3%
B 1
 
5.3%
P 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 152
53.0%
, 111
38.7%
. 24
 
8.4%
Dash Punctuation
ValueCountFrequency (%)
- 6780
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52817
> 99.9%
Latin 19
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14825
28.1%
1 9819
18.6%
- 6780
12.8%
2 6018
11.4%
6 2257
 
4.3%
4 2207
 
4.2%
9 2176
 
4.1%
3 2169
 
4.1%
7 2129
 
4.0%
5 2095
 
4.0%
Other values (6) 2342
 
4.4%
Latin
ValueCountFrequency (%)
U 5
26.3%
S 5
26.3%
T 2
 
10.5%
R 2
 
10.5%
E 2
 
10.5%
G 1
 
5.3%
B 1
 
5.3%
P 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14825
28.1%
1 9819
18.6%
- 6780
12.8%
2 6018
11.4%
6 2257
 
4.3%
4 2207
 
4.2%
9 2176
 
4.1%
3 2169
 
4.1%
7 2129
 
4.0%
5 2095
 
4.0%
Other values (14) 2361
 
4.5%

등록일자
Date

Distinct2087
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1993-05-15 00:00:00
Maximum2022-12-26 00:00:00
2023-12-13T02:19:06.770238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:19:06.936985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:19:07.263717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length12.7246
Min length6

Characters and Unicode

Total characters127246
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row10-2327168
2nd rowC-2021-043449
3rd rowC-2019-009828
4th row10-1638549
5th row10-2180980
ValueCountFrequency (%)
us 141
 
1.4%
fr 19
 
0.2%
jp 13
 
0.1%
ep 10
 
0.1%
gb 9
 
0.1%
tr 5
 
< 0.1%
de 4
 
< 0.1%
2422157 4
 
< 0.1%
au 4
 
< 0.1%
is 3
 
< 0.1%
Other values (10009) 10011
97.9%
2023-12-13T02:19:07.659784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26599
20.9%
1 20586
16.2%
- 18080
14.2%
2 16749
13.2%
9 7026
 
5.5%
3 6106
 
4.8%
4 5764
 
4.5%
8 5396
 
4.2%
5 5293
 
4.2%
7 5258
 
4.1%
Other values (21) 10389
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103659
81.5%
Dash Punctuation 18080
 
14.2%
Uppercase Letter 4947
 
3.9%
Other Punctuation 337
 
0.3%
Space Separator 223
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 4512
91.2%
U 145
 
2.9%
S 144
 
2.9%
P 25
 
0.5%
R 24
 
0.5%
F 19
 
0.4%
E 15
 
0.3%
J 13
 
0.3%
B 11
 
0.2%
G 9
 
0.2%
Other values (7) 30
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 26599
25.7%
1 20586
19.9%
2 16749
16.2%
9 7026
 
6.8%
3 6106
 
5.9%
4 5764
 
5.6%
8 5396
 
5.2%
5 5293
 
5.1%
7 5258
 
5.1%
6 4882
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 334
99.1%
. 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 18080
100.0%
Space Separator
ValueCountFrequency (%)
223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122299
96.1%
Latin 4947
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 4512
91.2%
U 145
 
2.9%
S 144
 
2.9%
P 25
 
0.5%
R 24
 
0.5%
F 19
 
0.4%
E 15
 
0.3%
J 13
 
0.3%
B 11
 
0.2%
G 9
 
0.2%
Other values (7) 30
 
0.6%
Common
ValueCountFrequency (%)
0 26599
21.7%
1 20586
16.8%
- 18080
14.8%
2 16749
13.7%
9 7026
 
5.7%
3 6106
 
5.0%
4 5764
 
4.7%
8 5396
 
4.4%
5 5293
 
4.3%
7 5258
 
4.3%
Other values (4) 5442
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26599
20.9%
1 20586
16.2%
- 18080
14.2%
2 16749
13.2%
9 7026
 
5.5%
3 6106
 
4.8%
4 5764
 
4.5%
8 5396
 
4.2%
5 5293
 
4.2%
7 5258
 
4.1%
Other values (21) 10389
 
8.2%

Interactions

2023-12-13T02:19:02.752469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:19:07.766382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출원구분출원국
순번1.0000.8190.354
출원구분0.8191.0000.176
출원국0.3540.1761.000
2023-12-13T02:19:07.872492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출원구분출원국
출원구분1.0000.091
출원국0.0911.000
2023-12-13T02:19:07.950284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출원구분출원국
순번1.0000.4780.145
출원구분0.4781.0000.091
출원국0.1450.0911.000

Missing values

2023-12-13T02:19:02.941735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:19:03.091636image/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.
2023-12-13T02:19:03.213034image/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

순번지식재산권 명칭출원구분출원국출원일자출원번호등록일자등록번호
424425인체 거동이 예측 가능한 인체 모델링 시스템 및 방법특허대한민국2020-03-0210-2020-00261982021-11-1010-2327168
56965697변환 모사 모듈국내 저작권대한민국<NA><NA>2021-10-28C-2021-043449
73767377씨플러스플러스 프로그램 가상포인터 취약점 공격에 대한 완화 기법 평가 소프트웨어국내 저작권대한민국<NA><NA>2019-04-08C-2019-009828
30853086확산 방지층을 이용한 실리콘 광증배 소자 및 그 제조 방법특허대한민국2014-11-0510-2014-01527532016-07-0510-1638549
950951다 계층 네트워크에서 다중 경로 전송을 위한 패킷 분배 시스템 및 그 방법특허대한민국2018-12-1210-2018-01603192020-11-1310-2180980
12601261작용기가 보호된 다이아지도글라이옥심을 이용한 TKK-50의 합성 방법특허대한민국2019-10-0410-2019-01231622020-04-1310-2102357
77407741광역 차분측위 정밀항법시스템 시뮬레이션 프로그램국내 저작권대한민국<NA><NA>2018-08-28C-2018-022226
1182911830FMCW 레이다의 간섭 신호 감지 및 제거 알고리즘 소프트웨어국내 저작권대한민국<NA><NA>2011-09-302011-01-129-005946
1294012941실시간용 순간소음 식별 프로그램국내 저작권대한민국<NA><NA>2008-08-042008-01-121-003978
1069810699한글 문서 읽기 패턴 기반의 사용자 재인증을 위한 로거 프로그램국내 저작권대한민국<NA><NA>2014-02-11C-2014-003075
순번지식재산권 명칭출원구분출원국출원일자출원번호등록일자등록번호
33633364관성항법장치를 이용한 시선 안정화 시스템의 표적 추적 방법, 장치 및 컴퓨터 판독 가능한 기록 매체특허대한민국2013-11-1310-2013-01375102015-08-0410-1543450
1250212503무인잠수정 운동 시뮬레이터 개발을 위한 무인잠수정 ARIES의 동역학 모델국내 저작권대한민국<NA><NA>2009-09-302009-01-129-005132
46884689사격통제장치가 구비된 소화기특허대한민국2009-04-1710-2009-00336232009-09-0110-0916189
351352메탄올 수증기 개질 플랜트의 열회로 제어 시스템 및 제어 방법특허대한민국2021-05-2710-2021-00680932022-01-0610-2350070
55485549자율 터널 탐사 로봇 환경인식장치 16채널 라이다 인터페이스 소프트웨어국내 저작권대한민국<NA><NA>2022-04-26C-2022-018361
64166417무인기 위성데이터링크 성능 분석 프로그램국내 저작권대한민국<NA><NA>2020-08-06C-2020-026270
94659466계단 주파수 파형 분석 시뮬레이터국내 저작권대한민국<NA><NA>2016-03-30C-2016-007830
52055206자연어 기반 비디오 이벤트 구간검출 프로그램국내 저작권대한민국<NA><NA>2022-11-16C-2022-045420
1404914050탄속 측정기 시뮬레이터 Ver 1.0국내 저작권대한민국<NA><NA>1999-07-2999-01-26-3558
38113812다중화된 이진 천이 반송파 신호를 위한 모호성이 낮은 부호 추적 시스템 및 방법특허대한민국2012-11-0910-2012-01264152013-12-3110-1348679