Overview

Dataset statistics

Number of variables7
Number of observations350
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory57.4 B

Variable types

Numeric1
Text3
Categorical2
DateTime1

Dataset

Description가스연구원 논문명, 논문지명, 주저자, 발표게재일 등의 속성정보가 담긴 데이터로 2019년부터 2022년 9월까지의 논문목록입니다.
Author한국가스공사
URLhttps://www.data.go.kr/data/15040810/fileData.do

Alerts

구분(SCI) is highly overall correlated with 활동구분High correlation
활동구분 is highly overall correlated with 구분(SCI)High correlation
활동구분 is highly imbalanced (50.1%)Imbalance
구분(SCI) is highly imbalanced (60.1%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:42:06.543791
Analysis finished2024-03-14 18:42:08.373602
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct350
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.5
Minimum1
Maximum350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-15T03:42:08.585456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.45
Q188.25
median175.5
Q3262.75
95-th percentile332.55
Maximum350
Range349
Interquartile range (IQR)174.5

Descriptive statistics

Standard deviation101.18053
Coefficient of variation (CV)0.57652725
Kurtosis-1.2
Mean175.5
Median Absolute Deviation (MAD)87.5
Skewness0
Sum61425
Variance10237.5
MonotonicityStrictly increasing
2024-03-15T03:42:09.039383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
232 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
Other values (340) 340
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%

논문명
Text

Distinct346
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T03:42:10.496949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length193
Median length122
Mean length41.828571
Min length8

Characters and Unicode

Total characters14640
Distinct characters431
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

Unique342 ?
Unique (%)97.7%

Sample

1st row지구온난화 지수가 낮은 발포제를 이용한 초저온 보냉용 폴리우레탄폼 단열재의 열전도도 향상 방안
2nd rowPermeability Variations by Changes in Geometrical Conditions
3rd rowA Method to Construct the Fracture Locus in the Range of High Stress Triaxiality When Only A Round Tensile Specimen Is Available
4th row한국가스공사의 연료처리장치 개발현황 및 국내 연료승압 블로워의 연료전지 시스템 적용
5th row포항 대잠동 시추코어에서의 가스 및 유기 지화학 특성 연구
ValueCountFrequency (%)
연구 71
 
2.4%
및 54
 
1.8%
위한 52
 
1.8%
of 49
 
1.7%
lng 41
 
1.4%
분석 39
 
1.3%
천연가스 38
 
1.3%
평가 27
 
0.9%
개발 27
 
0.9%
이용한 25
 
0.9%
Other values (1406) 2503
85.5%
2024-03-15T03:42:12.438019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2576
 
17.6%
e 573
 
3.9%
i 466
 
3.2%
n 462
 
3.2%
a 394
 
2.7%
o 389
 
2.7%
t 373
 
2.5%
r 368
 
2.5%
s 256
 
1.7%
l 224
 
1.5%
Other values (421) 8559
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6015
41.1%
Lowercase Letter 4848
33.1%
Space Separator 2576
17.6%
Uppercase Letter 1035
 
7.1%
Decimal Number 56
 
0.4%
Dash Punctuation 45
 
0.3%
Other Punctuation 31
 
0.2%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 172
 
2.9%
가 150
 
2.5%
연 149
 
2.5%
기 141
 
2.3%
스 138
 
2.3%
의 137
 
2.3%
관 112
 
1.9%
용 110
 
1.8%
소 109
 
1.8%
구 107
 
1.8%
Other values (348) 4690
78.0%
Lowercase Letter
ValueCountFrequency (%)
e 573
11.8%
i 466
9.6%
n 462
9.5%
a 394
 
8.1%
o 389
 
8.0%
t 373
 
7.7%
r 368
 
7.6%
s 256
 
5.3%
l 224
 
4.6%
c 204
 
4.2%
Other values (16) 1139
23.5%
Uppercase Letter
ValueCountFrequency (%)
G 112
 
10.8%
L 99
 
9.6%
N 91
 
8.8%
S 84
 
8.1%
P 78
 
7.5%
C 75
 
7.2%
A 64
 
6.2%
O 60
 
5.8%
T 44
 
4.3%
R 42
 
4.1%
Other values (14) 286
27.6%
Decimal Number
ValueCountFrequency (%)
2 24
42.9%
5 10
17.9%
1 5
 
8.9%
3 4
 
7.1%
0 3
 
5.4%
9 3
 
5.4%
4 3
 
5.4%
7 2
 
3.6%
6 1
 
1.8%
8 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 14
45.2%
: 8
25.8%
% 3
 
9.7%
· 3
 
9.7%
& 1
 
3.2%
' 1
 
3.2%
/ 1
 
3.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
2576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6015
41.1%
Latin 5885
40.2%
Common 2740
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 172
 
2.9%
가 150
 
2.5%
연 149
 
2.5%
기 141
 
2.3%
스 138
 
2.3%
의 137
 
2.3%
관 112
 
1.9%
용 110
 
1.8%
소 109
 
1.8%
구 107
 
1.8%
Other values (348) 4690
78.0%
Latin
ValueCountFrequency (%)
e 573
 
9.7%
i 466
 
7.9%
n 462
 
7.9%
a 394
 
6.7%
o 389
 
6.6%
t 373
 
6.3%
r 368
 
6.3%
s 256
 
4.4%
l 224
 
3.8%
c 204
 
3.5%
Other values (42) 2176
37.0%
Common
ValueCountFrequency (%)
2576
94.0%
- 45
 
1.6%
2 24
 
0.9%
) 16
 
0.6%
( 16
 
0.6%
, 14
 
0.5%
5 10
 
0.4%
: 8
 
0.3%
1 5
 
0.2%
3 4
 
0.1%
Other values (11) 22
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8620
58.9%
Hangul 6015
41.1%
None 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2576
29.9%
e 573
 
6.6%
i 466
 
5.4%
n 462
 
5.4%
a 394
 
4.6%
o 389
 
4.5%
t 373
 
4.3%
r 368
 
4.3%
s 256
 
3.0%
l 224
 
2.6%
Other values (60) 2539
29.5%
Hangul
ValueCountFrequency (%)
한 172
 
2.9%
가 150
 
2.5%
연 149
 
2.5%
기 141
 
2.3%
스 138
 
2.3%
의 137
 
2.3%
관 112
 
1.9%
용 110
 
1.8%
소 109
 
1.8%
구 107
 
1.8%
Other values (348) 4690
78.0%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

논문지학술회의명
Text

Distinct225
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T03:42:13.658827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length60
Mean length20.337143
Min length4

Characters and Unicode

Total characters7118
Distinct characters174
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)50.6%

Sample

1st rowThe 9th Korea CCUS Conference
2nd rowPhysics of Fluids (AIP)
3rd rowJournal of Mechanics Science and Technology
4th row한국세라믹학회
5th row2019년 춘계 지질과학기술 공동학술대회
ValueCountFrequency (%)
한국가스학회 145
 
12.7%
학술대회 86
 
7.6%
2019 43
 
3.8%
봄 36
 
3.2%
2019년 32
 
2.8%
가을 31
 
2.7%
춘계학술대회 22
 
1.9%
2023년 22
 
1.9%
and 21
 
1.8%
2020년 19
 
1.7%
Other values (239) 682
59.9%
2024-03-15T03:42:15.438704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
789
 
11.1%
학 477
 
6.7%
회 465
 
6.5%
2 333
 
4.7%
한 256
 
3.6%
0 255
 
3.6%
n 242
 
3.4%
국 236
 
3.3%
e 219
 
3.1%
가 204
 
2.9%
Other values (164) 3642
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3367
47.3%
Lowercase Letter 1629
22.9%
Decimal Number 852
 
12.0%
Space Separator 789
 
11.1%
Uppercase Letter 388
 
5.5%
Other Punctuation 51
 
0.7%
Open Punctuation 21
 
0.3%
Close Punctuation 21
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 477
14.2%
회 465
13.8%
한 256
 
7.6%
국 236
 
7.0%
가 204
 
6.1%
대 198
 
5.9%
술 195
 
5.8%
스 168
 
5.0%
계 138
 
4.1%
년 137
 
4.1%
Other values (100) 893
26.5%
Lowercase Letter
ValueCountFrequency (%)
n 242
14.9%
e 219
13.4%
a 149
9.1%
o 131
8.0%
r 129
7.9%
i 115
 
7.1%
t 92
 
5.6%
c 81
 
5.0%
s 79
 
4.8%
l 79
 
4.8%
Other values (15) 313
19.2%
Uppercase Letter
ValueCountFrequency (%)
C 48
12.4%
E 42
10.8%
I 31
 
8.0%
S 30
 
7.7%
M 27
 
7.0%
A 26
 
6.7%
P 24
 
6.2%
G 21
 
5.4%
T 20
 
5.2%
F 17
 
4.4%
Other values (13) 102
26.3%
Decimal Number
ValueCountFrequency (%)
2 333
39.1%
0 255
29.9%
1 118
 
13.8%
9 100
 
11.7%
3 41
 
4.8%
8 3
 
0.4%
6 1
 
0.1%
7 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 26
51.0%
& 11
21.6%
, 8
 
15.7%
· 4
 
7.8%
？ 2
 
3.9%
Space Separator
ValueCountFrequency (%)
789
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3367
47.3%
Latin 2017
28.3%
Common 1734
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 477
14.2%
회 465
13.8%
한 256
 
7.6%
국 236
 
7.0%
가 204
 
6.1%
대 198
 
5.9%
술 195
 
5.8%
스 168
 
5.0%
계 138
 
4.1%
년 137
 
4.1%
Other values (100) 893
26.5%
Latin
ValueCountFrequency (%)
n 242
 
12.0%
e 219
 
10.9%
a 149
 
7.4%
o 131
 
6.5%
r 129
 
6.4%
i 115
 
5.7%
t 92
 
4.6%
c 81
 
4.0%
s 79
 
3.9%
l 79
 
3.9%
Other values (38) 701
34.8%
Common
ValueCountFrequency (%)
789
45.5%
2 333
19.2%
0 255
 
14.7%
1 118
 
6.8%
9 100
 
5.8%
3 41
 
2.4%
/ 26
 
1.5%
( 21
 
1.2%
) 21
 
1.2%
& 11
 
0.6%
Other values (6) 19
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3745
52.6%
Hangul 3367
47.3%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
789
21.1%
2 333
 
8.9%
0 255
 
6.8%
n 242
 
6.5%
e 219
 
5.8%
a 149
 
4.0%
o 131
 
3.5%
r 129
 
3.4%
1 118
 
3.2%
i 115
 
3.1%
Other values (52) 1265
33.8%
Hangul
ValueCountFrequency (%)
학 477
14.2%
회 465
13.8%
한 256
 
7.6%
국 236
 
7.0%
가 204
 
6.1%
대 198
 
5.9%
술 195
 
5.8%
스 168
 
5.0%
계 138
 
4.1%
년 137
 
4.1%
Other values (100) 893
26.5%
None
ValueCountFrequency (%)
· 4
66.7%
？ 2
33.3%

활동구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
논문발표
290 
논문게재
47 
논문게재(국외)
 
13

Length

Max length8
Median length4
Mean length4.1485714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row논문발표
2nd row논문게재
3rd row논문게재
4th row논문발표
5th row논문발표

Common Values

ValueCountFrequency (%)
논문발표 290
82.9%
논문게재 47
 
13.4%
논문게재(국외) 13
 
3.7%

Length

2024-03-15T03:42:15.909201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:42:16.265009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논문발표 290
82.9%
논문게재 47
 
13.4%
논문게재(국외 13
 
3.7%

구분(SCI)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
발표
285 
SCI
 
19
비SCI
 
16
SCI/SCIE/SCOPUS
 
13
KCI
 
10
Other values (2)
 
7

Length

Max length15
Median length2
Mean length2.6971429
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row발표
2nd rowSCI
3rd rowSCI
4th row발표
5th row발표

Common Values

ValueCountFrequency (%)
발표 285
81.4%
SCI 19
 
5.4%
비SCI 16
 
4.6%
SCI/SCIE/SCOPUS 13
 
3.7%
KCI 10
 
2.9%
SCI급 6
 
1.7%
<NA> 1
 
0.3%

Length

2024-03-15T03:42:16.709079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:42:17.146223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발표 285
81.4%
sci 19
 
5.4%
비sci 16
 
4.6%
sci/scie/scopus 13
 
3.7%
kci 10
 
2.9%
sci급 6
 
1.7%
na 1
 
0.3%

주저자
Text

Distinct105
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T03:42:18.605837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length3
Mean length3.0942857
Min length2

Characters and Unicode

Total characters1083
Distinct characters125
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)8.6%

Sample

1st row이영범
2nd row신창훈
3rd row장윤찬
4th row김진욱
5th row박승수
ValueCountFrequency (%)
백종현 14
 
4.0%
우경택 10
 
2.8%
권휘웅 10
 
2.8%
김기홍 9
 
2.5%
구본찬 9
 
2.5%
이영범 8
 
2.3%
김호연 8
 
2.3%
고재필 8
 
2.3%
장윤찬 7
 
2.0%
김동민 7
 
2.0%
Other values (99) 264
74.6%
2024-03-15T03:42:20.293879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 100
 
9.2%
이 43
 
4.0%
영 36
 
3.3%
윤 23
 
2.1%
준 21
 
1.9%
진 21
 
1.9%
박 21
 
1.9%
기 20
 
1.8%
현 19
 
1.8%
석 19
 
1.8%
Other values (115) 760
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1044
96.4%
Lowercase Letter 32
 
3.0%
Space Separator 4
 
0.4%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 100
 
9.6%
이 43
 
4.1%
영 36
 
3.4%
윤 23
 
2.2%
준 21
 
2.0%
진 21
 
2.0%
박 21
 
2.0%
기 20
 
1.9%
현 19
 
1.8%
석 19
 
1.8%
Other values (97) 721
69.1%
Lowercase Letter
ValueCountFrequency (%)
a 9
28.1%
n 5
15.6%
i 4
12.5%
r 2
 
6.2%
h 2
 
6.2%
l 2
 
6.2%
k 1
 
3.1%
m 1
 
3.1%
t 1
 
3.1%
e 1
 
3.1%
Other values (4) 4
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
G 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1044
96.4%
Latin 35
 
3.2%
Common 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 100
 
9.6%
이 43
 
4.1%
영 36
 
3.4%
윤 23
 
2.2%
준 21
 
2.0%
진 21
 
2.0%
박 21
 
2.0%
기 20
 
1.9%
현 19
 
1.8%
석 19
 
1.8%
Other values (97) 721
69.1%
Latin
ValueCountFrequency (%)
a 9
25.7%
n 5
14.3%
i 4
11.4%
r 2
 
5.7%
h 2
 
5.7%
l 2
 
5.7%
k 1
 
2.9%
m 1
 
2.9%
t 1
 
2.9%
e 1
 
2.9%
Other values (7) 7
20.0%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1044
96.4%
ASCII 39
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 100
 
9.6%
이 43
 
4.1%
영 36
 
3.4%
윤 23
 
2.2%
준 21
 
2.0%
진 21
 
2.0%
박 21
 
2.0%
기 20
 
1.9%
현 19
 
1.8%
석 19
 
1.8%
Other values (97) 721
69.1%
ASCII
ValueCountFrequency (%)
a 9
23.1%
n 5
12.8%
4
10.3%
i 4
10.3%
r 2
 
5.1%
h 2
 
5.1%
l 2
 
5.1%
k 1
 
2.6%
m 1
 
2.6%
t 1
 
2.6%
Other values (8) 8
20.5%

발표게재일
Date

Distinct152
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2019-02-21 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T03:42:20.696051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:42:21.047645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-15T03:42:07.254793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:42:21.223860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호활동구분구분(SCI)
번호1.0000.6000.587
활동구분0.6001.0000.998
구분(SCI)0.5870.9981.000
2024-03-15T03:42:21.388353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(SCI)활동구분
구분(SCI)1.0000.939
활동구분0.9391.000
2024-03-15T03:42:21.530513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호활동구분구분(SCI)
번호1.0000.4400.356
활동구분0.4401.0000.939
구분(SCI)0.3560.9391.000

Missing values

2024-03-15T03:42:07.824727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:42:08.218835image/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

번호논문명논문지학술회의명활동구분구분(SCI)주저자발표게재일
01지구온난화 지수가 낮은 발포제를 이용한 초저온 보냉용 폴리우레탄폼 단열재의 열전도도 향상 방안The 9th Korea CCUS Conference논문발표발표이영범2019-02-21
12Permeability Variations by Changes in Geometrical ConditionsPhysics of Fluids (AIP)논문게재SCI신창훈2019-02-28
23A Method to Construct the Fracture Locus in the Range of High Stress Triaxiality When Only A Round Tensile Specimen Is AvailableJournal of Mechanics Science and Technology논문게재SCI장윤찬2019-03-29
34한국가스공사의 연료처리장치 개발현황 및 국내 연료승압 블로워의 연료전지 시스템 적용한국세라믹학회논문발표발표김진욱2019-04-11
45포항 대잠동 시추코어에서의 가스 및 유기 지화학 특성 연구2019년 춘계 지질과학기술 공동학술대회논문발표발표박승수2019-04-17
56포항 천연가스 시추 코아의 퇴적상 및 퇴적작용 연구2019년 춘계 지질과학기술 공동학술대회논문발표발표박승수2019-04-17
67매설 가스배관의 잔여수명 예측방안 검토PHM KOREA 2019논문발표발표김우식2019-04-17
78천연가스 생산 및 공급설비의 CCUS 시스템 적용 연구The 9th Korea CCUS International Conference논문발표발표우경택2019-04-22
89해저 가스전에서 유체 이송배관의 재료선정을 위한 내부부식 평가 사례2019 한국부식방식학회 춘계학술대회논문발표발표송홍석2019-04-25
910해상부유식 LNG벙커링 터미널의 재액화 시스템 개발엔 관한 연구한국화학공학회/한국화학공학회 2019년 춘계 학술대회논문발표발표박창원2019-04-25
번호논문명논문지학술회의명활동구분구분(SCI)주저자발표게재일
340341Digital twin for natural gas infrastructure operation and management via streaming dynamic mode decomposition with controlApplied Energy논문게재(국외)SCI/SCIE/SCOPUS구본찬2023-11-30
341342국외 PEM 수전해시스템 도입 및 제주도 재생에너지 연계 실증방안한국가스학회지논문게재KCI장상엽2022-12-29
342343C-Type LH2 운송선박 운항 및 하역공정 전산모사를 통한 LH2 탱크 거동 분석한국수소및신에너지학회논문게재KCI김동혁2022-12-30
343344Alternative Flow Model of Anisotropic Porous MediaJournal of Natural Gas Science and Engineering논문게재(국외)SCI/SCIE/SCOPUS신창훈2022-12-20
344345Hydrogen production via electrified steam reforming: Techno-economic-environmental perspectiveACS Sustainable Chemistry & Engineering논문게재(국외)SCI/SCIE/SCOPUS권휘웅2023-03-31
345346Optimal dual modal operation strategies of on-site hydrogen refueling station based on the hydrogen demana prediction with machine learningEnergy Conversion & Management논문게재(국외)SCI/SCIE/SCOPUS권휘웅2023-03-31
346347Liquid hydrogen production using cold energy from liquefied natural gas: Process development and heat integrationJournal of Cleaner Production논문게재(국외)SCI/SCIE/SCOPUS권휘웅2022-12-30
347348Influence of Weld Joint Geometry and Strength Mismatch on Load Bearing Capacity of API PipelineInternational Journal of Pressure Vessels and Piping논문게재(국외)SCI/SCIE/SCOPUS백종현2022-12-30
348349Preliminary evaluation of hydrogen blending into high-pressure natural gas pipelines through hydraulic analysisEnergy논문게재(국외)SCI/SCIE/SCOPUS구본찬2022-12-01
349350Cost, energy, and environmental impacts analysis for inter-junction of CO2-free hydrogen in international and domestic value chainsEnergy Conversion and Management논문게재(국외)SCI권휘웅2023-04-11