Overview

Dataset statistics

Number of variables7
Number of observations284
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory58.5 B

Variable types

Numeric2
Text3
Categorical1
Boolean1

Dataset

Description가스안전분야 연구논문 게재정보 현황(게재지명, 논문제목, 게제년도 등) 제공함에 따라 가스안전 분야의 전문성 공유하여 가스산업 발전에 도움이 되고자 제공하는 데이터입니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15012296/fileData.do

Alerts

번호 is highly overall correlated with 게재년도High correlation
게재년도 is highly overall correlated with 번호High correlation
국내국외여부 is highly overall correlated with 에스씨아이여부(SCI)High correlation
에스씨아이여부(SCI) is highly overall correlated with 국내국외여부High correlation
에스씨아이여부(SCI) is highly imbalanced (52.4%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:12:06.887870
Analysis finished2023-12-12 05:12:08.119968
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.5
Minimum1
Maximum284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T14:12:08.205656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.15
Q171.75
median142.5
Q3213.25
95-th percentile269.85
Maximum284
Range283
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation82.127949
Coefficient of variation (CV)0.57633648
Kurtosis-1.2
Mean142.5
Median Absolute Deviation (MAD)71
Skewness0
Sum40470
Variance6745
MonotonicityNot monotonic
2023-12-12T14:12:08.376471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
189 1
 
0.4%
195 1
 
0.4%
194 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
188 1
 
0.4%
197 1
 
0.4%
Other values (274) 274
96.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
284 1
0.4%
283 1
0.4%
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%

게재지명
Text

Distinct95
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T14:12:08.739933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length78
Mean length14.619718
Min length4

Characters and Unicode

Total characters4152
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)22.9%

Sample

1st row한국에너지공학회 논문집
2nd row한국가스학회지
3rd row유체기계저널 2009.2 게재
4th row한국가스학회지
5th row한국가스학회지(KIGAS)
ValueCountFrequency (%)
한국가스학회지 74
 
13.5%
한국가스학회 50
 
9.1%
journal 27
 
4.9%
of 26
 
4.7%
international 23
 
4.2%
and 22
 
4.0%
science 13
 
2.4%
engineering 12
 
2.2%
in 12
 
2.2%
technology 11
 
2.0%
Other values (139) 278
50.7%
2023-12-12T14:12:09.324684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 292
 
7.0%
264
 
6.4%
e 236
 
5.7%
학 217
 
5.2%
회 203
 
4.9%
한 190
 
4.6%
국 188
 
4.5%
o 182
 
4.4%
r 158
 
3.8%
a 146
 
3.5%
Other values (102) 2076
50.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1855
44.7%
Other Letter 1577
38.0%
Uppercase Letter 406
 
9.8%
Space Separator 264
 
6.4%
Decimal Number 17
 
0.4%
Close Punctuation 12
 
0.3%
Open Punctuation 12
 
0.3%
Other Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 217
13.8%
회 203
12.9%
한 190
12.0%
국 188
11.9%
지 144
9.1%
가 137
8.7%
스 126
8.0%
너 36
 
2.3%
에 36
 
2.3%
공 33
 
2.1%
Other values (48) 267
16.9%
Lowercase Letter
ValueCountFrequency (%)
n 292
15.7%
e 236
12.7%
o 182
9.8%
r 158
8.5%
a 146
7.9%
i 125
 
6.7%
t 122
 
6.6%
c 102
 
5.5%
l 82
 
4.4%
g 64
 
3.5%
Other values (12) 346
18.7%
Uppercase Letter
ValueCountFrequency (%)
I 62
15.3%
E 50
12.3%
J 45
11.1%
S 43
10.6%
C 36
8.9%
T 27
 
6.7%
A 24
 
5.9%
P 18
 
4.4%
L 17
 
4.2%
R 15
 
3.7%
Other values (11) 69
17.0%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
2 5
29.4%
0 5
29.4%
3 1
 
5.9%
9 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
& 2
 
22.2%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2261
54.5%
Hangul 1577
38.0%
Common 314
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 217
13.8%
회 203
12.9%
한 190
12.0%
국 188
11.9%
지 144
9.1%
가 137
8.7%
스 126
8.0%
너 36
 
2.3%
에 36
 
2.3%
공 33
 
2.1%
Other values (48) 267
16.9%
Latin
ValueCountFrequency (%)
n 292
 
12.9%
e 236
 
10.4%
o 182
 
8.0%
r 158
 
7.0%
a 146
 
6.5%
i 125
 
5.5%
t 122
 
5.4%
c 102
 
4.5%
l 82
 
3.6%
g 64
 
2.8%
Other values (33) 752
33.3%
Common
ValueCountFrequency (%)
264
84.1%
) 12
 
3.8%
( 12
 
3.8%
, 6
 
1.9%
1 5
 
1.6%
2 5
 
1.6%
0 5
 
1.6%
& 2
 
0.6%
. 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2575
62.0%
Hangul 1577
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 292
 
11.3%
264
 
10.3%
e 236
 
9.2%
o 182
 
7.1%
r 158
 
6.1%
a 146
 
5.7%
i 125
 
4.9%
t 122
 
4.7%
c 102
 
4.0%
l 82
 
3.2%
Other values (44) 866
33.6%
Hangul
ValueCountFrequency (%)
학 217
13.8%
회 203
12.9%
한 190
12.0%
국 188
11.9%
지 144
9.1%
가 137
8.7%
스 126
8.0%
너 36
 
2.3%
에 36
 
2.3%
공 33
 
2.1%
Other values (48) 267
16.9%

논문제목
Text

Distinct282
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T14:12:09.825550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length157
Median length103
Mean length47.440141
Min length12

Characters and Unicode

Total characters13473
Distinct characters409
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique280 ?
Unique (%)98.6%

Sample

1st row안전밸브가 장착된 휴대용 부탄캔에 대한 안전성평가 연구
2nd rowRFID/USN 기반 지능형 가스안전관리 서비스를 위한 자율적 분석 연구
3rd row압력방출밸브를 장착한 이동식부탄연소기
4th row건축물내 일산화탄소 경보기 설치기준에 관한 연구
5th row수소충전소 안전성 향상을 위한 버츄얼리얼리티 프로그램의 개발
ValueCountFrequency (%)
연구 87
 
3.4%
of 68
 
2.7%
관한 53
 
2.1%
for 44
 
1.7%
gas 40
 
1.6%
및 36
 
1.4%
on 33
 
1.3%
the 29
 
1.1%
a 29
 
1.1%
개발 28
 
1.1%
Other values (1185) 2093
82.4%
2023-12-12T14:12:10.538179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2258
 
16.8%
e 657
 
4.9%
i 495
 
3.7%
o 481
 
3.6%
t 474
 
3.5%
n 471
 
3.5%
a 465
 
3.5%
s 378
 
2.8%
r 369
 
2.7%
l 254
 
1.9%
Other values (399) 7171
53.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5643
41.9%
Other Letter 4577
34.0%
Space Separator 2258
16.8%
Uppercase Letter 883
 
6.6%
Decimal Number 41
 
0.3%
Dash Punctuation 36
 
0.3%
Other Punctuation 15
 
0.1%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 146
 
3.2%
연 134
 
2.9%
전 128
 
2.8%
가 128
 
2.8%
소 124
 
2.7%
기 119
 
2.6%
구 109
 
2.4%
에 106
 
2.3%
스 101
 
2.2%
용 100
 
2.2%
Other values (329) 3382
73.9%
Lowercase Letter
ValueCountFrequency (%)
e 657
11.6%
i 495
 
8.8%
o 481
 
8.5%
t 474
 
8.4%
n 471
 
8.3%
a 465
 
8.2%
s 378
 
6.7%
r 369
 
6.5%
l 254
 
4.5%
c 200
 
3.5%
Other values (16) 1399
24.8%
Uppercase Letter
ValueCountFrequency (%)
S 111
12.6%
G 84
 
9.5%
P 69
 
7.8%
A 65
 
7.4%
D 65
 
7.4%
T 54
 
6.1%
C 54
 
6.1%
L 53
 
6.0%
M 50
 
5.7%
E 41
 
4.6%
Other values (15) 237
26.8%
Decimal Number
ValueCountFrequency (%)
3 15
36.6%
4 5
 
12.2%
1 4
 
9.8%
5 4
 
9.8%
0 4
 
9.8%
2 4
 
9.8%
8 2
 
4.9%
9 1
 
2.4%
7 1
 
2.4%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 6
40.0%
. 4
26.7%
: 3
20.0%
· 1
 
6.7%
% 1
 
6.7%
Space Separator
ValueCountFrequency (%)
2258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6526
48.4%
Hangul 4577
34.0%
Common 2370
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 146
 
3.2%
연 134
 
2.9%
전 128
 
2.8%
가 128
 
2.8%
소 124
 
2.7%
기 119
 
2.6%
구 109
 
2.4%
에 106
 
2.3%
스 101
 
2.2%
용 100
 
2.2%
Other values (329) 3382
73.9%
Latin
ValueCountFrequency (%)
e 657
 
10.1%
i 495
 
7.6%
o 481
 
7.4%
t 474
 
7.3%
n 471
 
7.2%
a 465
 
7.1%
s 378
 
5.8%
r 369
 
5.7%
l 254
 
3.9%
c 200
 
3.1%
Other values (41) 2282
35.0%
Common
ValueCountFrequency (%)
2258
95.3%
- 36
 
1.5%
3 15
 
0.6%
) 10
 
0.4%
( 10
 
0.4%
/ 6
 
0.3%
4 5
 
0.2%
1 4
 
0.2%
5 4
 
0.2%
0 4
 
0.2%
Other values (9) 18
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8895
66.0%
Hangul 4577
34.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2258
25.4%
e 657
 
7.4%
i 495
 
5.6%
o 481
 
5.4%
t 474
 
5.3%
n 471
 
5.3%
a 465
 
5.2%
s 378
 
4.2%
r 369
 
4.1%
l 254
 
2.9%
Other values (59) 2593
29.2%
Hangul
ValueCountFrequency (%)
한 146
 
3.2%
연 134
 
2.9%
전 128
 
2.8%
가 128
 
2.8%
소 124
 
2.7%
기 119
 
2.6%
구 109
 
2.4%
에 106
 
2.3%
스 101
 
2.2%
용 100
 
2.2%
Other values (329) 3382
73.9%
None
ValueCountFrequency (%)
· 1
100.0%

주저자
Text

Distinct91
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T14:12:10.901747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.5985915
Min length3

Characters and Unicode

Total characters1022
Distinct characters107
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)17.6%

Sample

1st row강승규
2nd row강승규
3rd row강승규
4th row강승규
5th row김은정
ValueCountFrequency (%)
오정석 31
 
10.5%
박규태 25
 
8.4%
강승규 16
 
5.4%
조성민 15
 
5.1%
류영돈 11
 
3.7%
이진한 10
 
3.4%
김정훈 10
 
3.4%
김정환 9
 
3.0%
장갑만 8
 
2.7%
조영도 7
 
2.4%
Other values (83) 154
52.0%
2023-12-12T14:12:11.463532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 69
 
6.8%
김 65
 
6.4%
이 59
 
5.8%
규 48
 
4.7%
석 45
 
4.4%
오 36
 
3.5%
영 30
 
2.9%
태 30
 
2.9%
박 29
 
2.8%
승 29
 
2.8%
Other values (97) 582
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 966
94.5%
Other Punctuation 28
 
2.7%
Space Separator 12
 
1.2%
Open Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 69
 
7.1%
김 65
 
6.7%
이 59
 
6.1%
규 48
 
5.0%
석 45
 
4.7%
오 36
 
3.7%
영 30
 
3.1%
태 30
 
3.1%
박 29
 
3.0%
승 29
 
3.0%
Other values (91) 526
54.5%
Other Punctuation
ValueCountFrequency (%)
, 13
46.4%
/ 12
42.9%
: 3
 
10.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 966
94.5%
Common 56
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 69
 
7.1%
김 65
 
6.7%
이 59
 
6.1%
규 48
 
5.0%
석 45
 
4.7%
오 36
 
3.7%
영 30
 
3.1%
태 30
 
3.1%
박 29
 
3.0%
승 29
 
3.0%
Other values (91) 526
54.5%
Common
ValueCountFrequency (%)
, 13
23.2%
12
21.4%
/ 12
21.4%
( 8
14.3%
) 8
14.3%
: 3
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 966
94.5%
ASCII 56
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 69
 
7.1%
김 65
 
6.7%
이 59
 
6.1%
규 48
 
5.0%
석 45
 
4.7%
오 36
 
3.7%
영 30
 
3.1%
태 30
 
3.1%
박 29
 
3.0%
승 29
 
3.0%
Other values (91) 526
54.5%
ASCII
ValueCountFrequency (%)
, 13
23.2%
12
21.4%
/ 12
21.4%
( 8
14.3%
) 8
14.3%
: 3
 
5.4%

국내국외여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
국내
213 
국외
71 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 213
75.0%
국외 71
 
25.0%

Length

2023-12-12T14:12:11.652332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:12:11.756097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 213
75.0%
국외 71
 
25.0%

에스씨아이여부(SCI)
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size416.0 B
False
255 
True
29 
ValueCountFrequency (%)
False 255
89.8%
True 29
 
10.2%
2023-12-12T14:12:11.845824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

게재년도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.9085
Minimum2008
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T14:12:11.953112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2009
Q12013
median2016
Q32019
95-th percentile2023
Maximum2023
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.0915408
Coefficient of variation (CV)0.0020296263
Kurtosis-0.70810378
Mean2015.9085
Median Absolute Deviation (MAD)3
Skewness-0.28380624
Sum572518
Variance16.740706
MonotonicityNot monotonic
2023-12-12T14:12:12.103695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2016 35
12.3%
2018 35
12.3%
2017 30
10.6%
2019 24
 
8.5%
2009 18
 
6.3%
2023 16
 
5.6%
2021 16
 
5.6%
2015 16
 
5.6%
2012 15
 
5.3%
2013 14
 
4.9%
Other values (6) 65
22.9%
ValueCountFrequency (%)
2008 13
 
4.6%
2009 18
6.3%
2010 9
 
3.2%
2011 10
 
3.5%
2012 15
5.3%
2013 14
 
4.9%
2014 14
 
4.9%
2015 16
5.6%
2016 35
12.3%
2017 30
10.6%
ValueCountFrequency (%)
2023 16
5.6%
2022 7
 
2.5%
2021 16
5.6%
2020 12
 
4.2%
2019 24
8.5%
2018 35
12.3%
2017 30
10.6%
2016 35
12.3%
2015 16
5.6%
2014 14
 
4.9%

Interactions

2023-12-12T14:12:07.570346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:07.368264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:07.701136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:07.454311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:12:12.211405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게재지명주저자국내국외여부에스씨아이여부(SCI)게재년도
번호1.0000.7910.7630.3620.2650.981
게재지명0.7911.0000.0001.0001.0000.811
주저자0.7630.0001.0000.6550.3140.788
국내국외여부0.3621.0000.6551.0000.7520.373
에스씨아이여부(SCI)0.2651.0000.3140.7521.0000.354
게재년도0.9810.8110.7880.3730.3541.000
2023-12-12T14:12:12.323256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
에스씨아이여부(SCI)국내국외여부
에스씨아이여부(SCI)1.0000.542
국내국외여부0.5421.000
2023-12-12T14:12:12.419303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게재년도국내국외여부에스씨아이여부(SCI)
번호1.0000.9960.2740.200
게재년도0.9961.0000.2760.252
국내국외여부0.2740.2761.0000.542
에스씨아이여부(SCI)0.2000.2520.5421.000

Missing values

2023-12-12T14:12:07.870174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:12:08.045005image/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

번호게재지명논문제목주저자국내국외여부에스씨아이여부(SCI)게재년도
01한국에너지공학회 논문집안전밸브가 장착된 휴대용 부탄캔에 대한 안전성평가 연구강승규국내N2008
12한국가스학회지RFID/USN 기반 지능형 가스안전관리 서비스를 위한 자율적 분석 연구강승규국내N2008
23유체기계저널 2009.2 게재압력방출밸브를 장착한 이동식부탄연소기강승규국내N2008
34한국가스학회지건축물내 일산화탄소 경보기 설치기준에 관한 연구강승규국내N2008
45한국가스학회지(KIGAS)수소충전소 안전성 향상을 위한 버츄얼리얼리티 프로그램의 개발김은정국내N2008
56한국가스학회지3.2um 중적외선 센서를 이용한 메탄가스누출검지기의 개발박규태국내N2008
67한국가스학회지Experimental Studies on the Interaction Between a Propagating Flame and Multiple Obstacles in a Rectangular Chamber안정진국내N2008
78한국정보기술응용학회 논문지튜닝 가능한 자원선택 방법론오정석국내N2008
89한국정보처리학회 논문지워크로드 성향에 대한 데이터베이스 영향분석오정석국내N2008
910한국가스학회지U-기반 가스안전관리의 기술 적용을 위한 실증적 연구오정석국내N2008
번호게재지명논문제목주저자국내국외여부에스씨아이여부(SCI)게재년도
274275수소 및 신에너지학회수소기술 국제표준화 동향 및 국제표준 제안현황강승규/이경식국내N2023
275276수소 및 신에너지학회액화수소 핵심부품 성능검사기술 개발 연구조추으히국내N2023
276277수소 및 신에너지학회도시가스 수소혼입 가스기기 평가기술 표준 동향이동현국내N2023
277278수소 및 신에너지학회액화수소 안전기준현황 및 안전거리 산출 방법강승규/이경식국내N2023
278279한국가스학회지반타원형 균열을 가정한 파괴 및 피로역학에 의한 수소 압력용기의 예상 수명 계산과 두께와 내경이 미치는 영향분석김정환국내N2021
279280한국가스학회수소충전소 계량오차 검증 설비 설치를 위한 위험성 분석 사례 연구이화영국내N2022
280281한국수소및신에너지학회수소충전소 계량 정확도 향상을 위한 거래량 산출 모델 연구이화영/최진영국내N2022
281282한국공업화학회Diffusion Range and Pool Formation in the Leakge of Liquid Hydrogen Storage Tank using CFD Tool김정환/김수현국내Y2022
282283한국가스학회디스크시험 및 수소처리 인장시험에 의한 수소배관용 고질소 스테인리스강의 내수소취성 평가 연구이민경국내N2022
283284한국가스학회스퀴즈오프 작업에 따른 PE배관의 손상평가 연구서호성국내N2023