Overview

Dataset statistics

Number of variables5
Number of observations1131
Missing cells157
Missing cells (%)2.8%
Duplicate rows30
Duplicate rows (%)2.7%
Total size in memory45.4 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description한국원자력연구원_기술이전 현황 및 기술이전 가능 목록 데이터 입니다. 데이터 칼럼 리스트는 계약년도, 기술실시계약명, 산업재산권, 계약체결일, 실시권 입니다.(한국원자력연구원에서 연구.개발한 결과물을 중소기업등에 이전한 기술현황 및 기술이전가능한 목록)
Author한국원자력연구원
URLhttps://www.data.go.kr/data/3073691/fileData.do

Alerts

Dataset has 30 (2.7%) duplicate rowsDuplicates
실시권 is highly imbalanced (62.4%)Imbalance
계약년도 has 157 (13.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:05:26.360460
Analysis finished2023-12-12 13:05:27.210791
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약년도
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)1.6%
Missing157
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean2015.5031
Minimum2007
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2023-12-12T22:05:27.274044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2007
Q12013
median2016
Q32019
95-th percentile2022
Maximum2022
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.3712001
Coefficient of variation (CV)0.0021687886
Kurtosis-0.85749042
Mean2015.5031
Median Absolute Deviation (MAD)3
Skewness-0.35922255
Sum1963100
Variance19.10739
MonotonicityDecreasing
2023-12-12T22:05:27.415909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2017 97
8.6%
2018 92
 
8.1%
2014 77
 
6.8%
2022 73
 
6.5%
2016 72
 
6.4%
2021 72
 
6.4%
2020 68
 
6.0%
2015 66
 
5.8%
2013 60
 
5.3%
2019 56
 
5.0%
Other values (6) 241
21.3%
(Missing) 157
13.9%
ValueCountFrequency (%)
2007 53
4.7%
2008 38
3.4%
2009 41
3.6%
2010 32
2.8%
2011 35
3.1%
2012 42
3.7%
2013 60
5.3%
2014 77
6.8%
2015 66
5.8%
2016 72
6.4%
ValueCountFrequency (%)
2022 73
6.5%
2021 72
6.4%
2020 68
6.0%
2019 56
5.0%
2018 92
8.1%
2017 97
8.6%
2016 72
6.4%
2015 66
5.8%
2014 77
6.8%
2013 60
5.3%

기술실시계약명
Text

Distinct923
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-12T22:05:27.781430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length56
Mean length24.793103
Min length6

Characters and Unicode

Total characters28041
Distinct characters604
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique850 ?
Unique (%)75.2%

Sample

1st rowProFire-PSA_INT 1.0 실행파일 및 설계자료 (소스코드)
2nd rowProFire-PSA_INT 1.0 실행파일 및 설계자료 (소스코드)
3rd rowAIMS-PSA 2.0 실행파일-스탠더드시험연구소
4th rowAIMS-PSA Release 2 실행파일 (국민대)
5th rowTACOM calculator ver. 1.0 프로그램
ValueCountFrequency (%)
및 250
 
4.0%
전산코드 150
 
2.4%
기술 141
 
2.3%
이용한 123
 
2.0%
방법 98
 
1.6%
실행파일 93
 
1.5%
장치 90
 
1.4%
kirap/conpas 73
 
1.2%
등 69
 
1.1%
제조 56
 
0.9%
Other values (2462) 5084
81.6%
2023-12-12T22:05:28.311757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5113
 
18.2%
기 591
 
2.1%
A 583
 
2.1%
이 442
 
1.6%
S 430
 
1.5%
용 421
 
1.5%
전 373
 
1.3%
P 371
 
1.3%
술 355
 
1.3%
방 352
 
1.3%
Other values (594) 19010
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16981
60.6%
Space Separator 5113
 
18.2%
Uppercase Letter 3638
 
13.0%
Lowercase Letter 728
 
2.6%
Decimal Number 701
 
2.5%
Other Punctuation 357
 
1.3%
Dash Punctuation 169
 
0.6%
Open Punctuation 167
 
0.6%
Close Punctuation 167
 
0.6%
Math Symbol 9
 
< 0.1%
Other values (5) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 591
 
3.5%
이 442
 
2.6%
용 421
 
2.5%
전 373
 
2.2%
술 355
 
2.1%
방 352
 
2.1%
드 295
 
1.7%
제 293
 
1.7%
조 278
 
1.6%
사 267
 
1.6%
Other values (512) 13314
78.4%
Uppercase Letter
ValueCountFrequency (%)
A 583
16.0%
S 430
11.8%
P 371
10.2%
R 322
8.9%
I 251
 
6.9%
C 241
 
6.6%
M 222
 
6.1%
O 183
 
5.0%
E 142
 
3.9%
N 137
 
3.8%
Other values (16) 756
20.8%
Lowercase Letter
ValueCountFrequency (%)
e 97
13.3%
i 74
10.2%
r 70
9.6%
a 67
9.2%
o 67
9.2%
l 48
 
6.6%
t 43
 
5.9%
c 41
 
5.6%
n 35
 
4.8%
u 26
 
3.6%
Other values (16) 160
22.0%
Decimal Number
ValueCountFrequency (%)
0 174
24.8%
1 150
21.4%
2 132
18.8%
3 79
11.3%
4 59
 
8.4%
8 27
 
3.9%
6 26
 
3.7%
9 21
 
3.0%
7 16
 
2.3%
5 16
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 174
48.7%
/ 121
33.9%
, 47
 
13.2%
: 8
 
2.2%
& 4
 
1.1%
' 2
 
0.6%
; 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 165
98.8%
[ 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 165
98.8%
] 2
 
1.2%
Space Separator
ValueCountFrequency (%)
5113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16983
60.6%
Common 6692
 
23.9%
Latin 4364
 
15.6%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 591
 
3.5%
이 442
 
2.6%
용 421
 
2.5%
전 373
 
2.2%
술 355
 
2.1%
방 352
 
2.1%
드 295
 
1.7%
제 293
 
1.7%
조 278
 
1.6%
사 267
 
1.6%
Other values (513) 13316
78.4%
Latin
ValueCountFrequency (%)
A 583
 
13.4%
S 430
 
9.9%
P 371
 
8.5%
R 322
 
7.4%
I 251
 
5.8%
C 241
 
5.5%
M 222
 
5.1%
O 183
 
4.2%
E 142
 
3.3%
N 137
 
3.1%
Other values (40) 1482
34.0%
Common
ValueCountFrequency (%)
5113
76.4%
0 174
 
2.6%
. 174
 
2.6%
- 169
 
2.5%
( 165
 
2.5%
) 165
 
2.5%
1 150
 
2.2%
2 132
 
2.0%
/ 121
 
1.8%
3 79
 
1.2%
Other values (19) 250
 
3.7%
Greek
ValueCountFrequency (%)
γ 1
50.0%
α 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16981
60.6%
ASCII 11051
39.4%
None 6
 
< 0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5113
46.3%
A 583
 
5.3%
S 430
 
3.9%
P 371
 
3.4%
R 322
 
2.9%
I 251
 
2.3%
C 241
 
2.2%
M 222
 
2.0%
O 183
 
1.7%
0 174
 
1.6%
Other values (65) 3161
28.6%
Hangul
ValueCountFrequency (%)
기 591
 
3.5%
이 442
 
2.6%
용 421
 
2.5%
전 373
 
2.2%
술 355
 
2.1%
방 352
 
2.1%
드 295
 
1.7%
제 293
 
1.7%
조 278
 
1.6%
사 267
 
1.6%
Other values (512) 13314
78.4%
Punctuation
ValueCountFrequency (%)
’ 2
66.7%
‘ 1
33.3%
None
ValueCountFrequency (%)
㈜ 2
33.3%
₂ 1
16.7%
γ 1
16.7%
α 1
16.7%
４ 1
16.7%

산업재산권
Text

Distinct147
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-12T22:05:28.527005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length5.7126437
Min length2

Characters and Unicode

Total characters6461
Distinct characters94
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)7.5%

Sample

1st row프로그램1, 노하우1
2nd row프로그램1, 노하우1
3rd row프로그램1
4th row프로그램1
5th row프로그램1, 노하우2
ValueCountFrequency (%)
특허1 237
15.9%
노하우1 171
11.5%
프로그램1 169
11.3%
know-how 121
 
8.1%
전산코드 109
 
7.3%
특허2 79
 
5.3%
프로그램 63
 
4.2%
2종 61
 
4.1%
1종 61
 
4.1%
특허 54
 
3.6%
Other values (91) 365
24.5%
2023-12-12T22:05:28.908976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 725
 
11.2%
허 528
 
8.2%
특 527
 
8.2%
359
 
5.6%
프 278
 
4.3%
로 277
 
4.3%
그 277
 
4.3%
램 277
 
4.3%
하 261
 
4.0%
우 261
 
4.0%
Other values (84) 2691
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3870
59.9%
Decimal Number 1110
 
17.2%
Lowercase Letter 831
 
12.9%
Space Separator 359
 
5.6%
Dash Punctuation 124
 
1.9%
Other Punctuation 118
 
1.8%
Uppercase Letter 47
 
0.7%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
허 528
13.6%
특 527
13.6%
프 278
 
7.2%
로 277
 
7.2%
그 277
 
7.2%
램 277
 
7.2%
하 261
 
6.7%
우 261
 
6.7%
노 261
 
6.7%
종 216
 
5.6%
Other values (54) 707
18.3%
Decimal Number
ValueCountFrequency (%)
1 725
65.3%
2 200
 
18.0%
3 85
 
7.7%
4 45
 
4.1%
5 19
 
1.7%
6 14
 
1.3%
7 10
 
0.9%
8 6
 
0.5%
0 4
 
0.4%
9 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
o 248
29.8%
w 248
29.8%
h 124
14.9%
n 124
14.9%
k 80
 
9.6%
a 3
 
0.4%
e 1
 
0.1%
t 1
 
0.1%
b 1
 
0.1%
s 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 115
97.5%
/ 2
 
1.7%
& 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
K 44
93.6%
D 2
 
4.3%
B 1
 
2.1%
Space Separator
ValueCountFrequency (%)
359
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3870
59.9%
Common 1713
26.5%
Latin 878
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
허 528
13.6%
특 527
13.6%
프 278
 
7.2%
로 277
 
7.2%
그 277
 
7.2%
램 277
 
7.2%
하 261
 
6.7%
우 261
 
6.7%
노 261
 
6.7%
종 216
 
5.6%
Other values (54) 707
18.3%
Common
ValueCountFrequency (%)
1 725
42.3%
359
21.0%
2 200
 
11.7%
- 124
 
7.2%
, 115
 
6.7%
3 85
 
5.0%
4 45
 
2.6%
5 19
 
1.1%
6 14
 
0.8%
7 10
 
0.6%
Other values (7) 17
 
1.0%
Latin
ValueCountFrequency (%)
o 248
28.2%
w 248
28.2%
h 124
14.1%
n 124
14.1%
k 80
 
9.1%
K 44
 
5.0%
a 3
 
0.3%
D 2
 
0.2%
B 1
 
0.1%
e 1
 
0.1%
Other values (3) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3870
59.9%
ASCII 2591
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 725
28.0%
359
13.9%
o 248
 
9.6%
w 248
 
9.6%
2 200
 
7.7%
h 124
 
4.8%
- 124
 
4.8%
n 124
 
4.8%
, 115
 
4.4%
3 85
 
3.3%
Other values (20) 239
 
9.2%
Hangul
ValueCountFrequency (%)
허 528
13.6%
특 527
13.6%
프 278
 
7.2%
로 277
 
7.2%
그 277
 
7.2%
램 277
 
7.2%
하 261
 
6.7%
우 261
 
6.7%
노 261
 
6.7%
종 216
 
5.6%
Other values (54) 707
18.3%

계약체결일
Text

Distinct669
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-12T22:05:29.196648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length10
Mean length10.028294
Min length10

Characters and Unicode

Total characters11342
Distinct characters19
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique499 ?
Unique (%)44.1%

Sample

1st row2022-12-16
2nd row2022-12-16
3rd row2022-12-14
4th row2022-12-12
5th row2022-12-09
ValueCountFrequency (%)
2018-12-24 27
 
2.4%
2019-02-21 21
 
1.9%
2009-12-28 18
 
1.6%
2018-04-02 14
 
1.2%
2012-12-31 13
 
1.1%
2015-06-18 12
 
1.1%
2016-12-30 11
 
1.0%
1999-12-30 10
 
0.9%
2014-04-14 10
 
0.9%
2020-02-17 9
 
0.8%
Other values (660) 989
87.2%
2023-12-12T22:05:29.653001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2642
23.3%
2 2283
20.1%
- 2266
20.0%
1 1892
16.7%
9 420
 
3.7%
8 359
 
3.2%
7 339
 
3.0%
3 337
 
3.0%
4 311
 
2.7%
6 262
 
2.3%
Other values (9) 231
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9064
79.9%
Dash Punctuation 2266
 
20.0%
Other Letter 5
 
< 0.1%
Space Separator 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2642
29.1%
2 2283
25.2%
1 1892
20.9%
9 420
 
4.6%
8 359
 
4.0%
7 339
 
3.7%
3 337
 
3.7%
4 311
 
3.4%
6 262
 
2.9%
5 219
 
2.4%
Other Letter
ValueCountFrequency (%)
재 1
20.0%
계 1
20.0%
약 1
20.0%
연 1
20.0%
장 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 2266
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11337
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2642
23.3%
2 2283
20.1%
- 2266
20.0%
1 1892
16.7%
9 420
 
3.7%
8 359
 
3.2%
7 339
 
3.0%
3 337
 
3.0%
4 311
 
2.7%
6 262
 
2.3%
Other values (4) 226
 
2.0%
Hangul
ValueCountFrequency (%)
재 1
20.0%
계 1
20.0%
약 1
20.0%
연 1
20.0%
장 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11337
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2642
23.3%
2 2283
20.1%
- 2266
20.0%
1 1892
16.7%
9 420
 
3.7%
8 359
 
3.2%
7 339
 
3.0%
3 337
 
3.0%
4 311
 
2.7%
6 262
 
2.3%
Other values (4) 226
 
2.0%
Hangul
ValueCountFrequency (%)
재 1
20.0%
계 1
20.0%
약 1
20.0%
연 1
20.0%
장 1
20.0%

실시권
Categorical

IMBALANCE 

Distinct21
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
통상실시권
669 
무상양도
265 
전용실시권
148 
유상양도
 
18
-
 
13
Other values (16)
 
18

Length

Max length19
Median length5
Mean length4.7515473
Min length1

Unique

Unique14 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
통상실시권 669
59.2%
무상양도 265
 
23.4%
전용실시권 148
 
13.1%
유상양도 18
 
1.6%
- 13
 
1.1%
장비이전 2
 
0.2%
제한적통상실시권 2
 
0.2%
저작권 1
 
0.1%
전용실시권(특허)/통상실시권(품종) 1
 
0.1%
통상실시권 1
 
0.1%
Other values (11) 11
 
1.0%

Length

2023-12-12T22:05:29.811757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통상실시권 670
58.5%
무상양도 265
 
23.1%
전용실시권 148
 
12.9%
유상양도 18
 
1.6%
15
 
1.3%
전용 4
 
0.3%
통상 4
 
0.3%
장비이전 2
 
0.2%
제한적통상실시권 2
 
0.2%
전용/통상 2
 
0.2%
Other values (16) 16
 
1.4%

Interactions

2023-12-12T22:05:26.877178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:05:29.884873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약년도실시권
계약년도1.0000.427
실시권0.4271.000
2023-12-12T22:05:29.956537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약년도실시권
계약년도1.0000.204
실시권0.2041.000

Missing values

2023-12-12T22:05:27.033136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:05:27.160020image/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.

Sample

계약년도기술실시계약명산업재산권계약체결일실시권
02022ProFire-PSA_INT 1.0 실행파일 및 설계자료 (소스코드)프로그램1, 노하우12022-12-16통상실시권
12022ProFire-PSA_INT 1.0 실행파일 및 설계자료 (소스코드)프로그램1, 노하우12022-12-16통상실시권
22022AIMS-PSA 2.0 실행파일-스탠더드시험연구소프로그램12022-12-14통상실시권
32022AIMS-PSA Release 2 실행파일 (국민대)프로그램12022-12-12통상실시권
42022TACOM calculator ver. 1.0 프로그램프로그램1, 노하우22022-12-09통상실시권
52022FTeMC 2.0 실행파일 (국민대)프로그램12022-12-09통상실시권
62022해수 내 방사성물질 분석을 위한 전처리 장치 개발 노하우노하우12022-12-06통상실시권
72022수중 삼중수소(트리튬) 제거 기술특허3, 노하우12022-12-05통상실시권
82022아레스 1.0(ARES 1.0)프로그램12022-11-25통상실시권
92022아레스 1.0프로그램12022-11-21통상실시권
계약년도기술실시계약명산업재산권계약체결일실시권
1121<NA>KIRAP/CONPAS 전산코드전산코드 2종2004-11-29통상실시권
1122<NA>ViSA 프로그램전산코드 1종2004-12-01<NA>
1123<NA>이온빔조사에 의한 이용기날 표면처리 기술특허 4 종, know-how2005-01-17전용실시권
1124<NA>전계방출팁을 이용한 저에너지 대면적 전자빔 조사장치 기술특허1종2005-02-22전용실시권
1125<NA>원자력 성능검증 DBDB시스템2005-09-15장비이전
1126<NA>KIRAP/CONPAS 전산코드전산코드 2종2005-09-26통상실시권
1127<NA>KIRAP/CONPAS 전산코드전산코드 2종2005-09-26통상실시권
1128<NA>KIRAP/CONPAS 전산코드전산코드 2종2005-10-25통상실시권
1129<NA>친환경적 분해에 의한 방사성폐액 고도처리 기술특허 2종 실용신안 2종2005-12-23전용실시권
1130<NA>LCD 장치를 이용한 편광방식 입체영상 디스플레이 장치기술특허1종2005-12-27전용실시권

Duplicate rows

Most frequently occurring

계약년도기술실시계약명산업재산권계약체결일실시권# duplicates
32008다차원 열수력 안전 해석코드(MARS 3.1) 및 코드 연계기술프로그램1종 Know-how 관련보고서2008-03-07통상실시권6
102013고온가스로 계통/안전해석코드 MARS-GCR 실행파일프로그램2013-05-28통상실시권5
22008다차원 열수력 안전 해석코드(MARS 3.1) 및 코드 연계기술프로그램1종 Know-how 관련보고서2008-03-05통상실시권3
42009KIRAP/CONPAS 전산코드전산코드 2종2009-06-03통상실시권3
52010AIMS-PSA 전산코드전산코드2010-12-27통상실시권3
62011AIMS-PSA 전산코드 실행파일전산코드2011-12-08통상실시권3
92012화력발전소 배관 내부 검사용 로봇기반 비파괴 진단기술특허3 노하우22012-06-29통상실시권3
182021개선 FLASH-CAT 모델 활용 FDS 입력문 개발노하우12021-12-17통상실시권3
23<NA>KIRAP/CONPAS 전산코드전산코드 2종2000-11-06통상실시권3
27<NA>광섬유 전송 고출력 의료용 Nd:YAG 레이저 치료기개발know-how1995-01-17-3