Overview

Dataset statistics

Number of variables8
Number of observations857
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory53.7 KiB
Average record size in memory64.2 B

Variable types

DateTime1
Categorical4
Text3

Dataset

Description한국세라믹기술원이 연구개발을 통해 확보한 규격제정, 논문, 지식재산권(특허 및 프로그램), 학회발표 등 연구성과 목록입니다.
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15123276/fileData.do

Alerts

Dataset has 2 (0.2%) duplicate rowsDuplicates
상세구분 is highly overall correlated with 국내외 구분 and 2 other fieldsHigh correlation
성과구분 is highly overall correlated with 상세구분 and 1 other fieldsHigh correlation
국내외 구분 is highly overall correlated with 상세구분High correlation
권리구분 is highly overall correlated with 성과구분 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-04-21 02:28:32.199755
Analysis finished2024-04-21 02:28:34.154753
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct414
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
Minimum2022-01-01 00:00:00
Maximum2024-03-22 00:00:00
2024-04-21T11:28:34.217795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:28:34.364502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

국내외 구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
국내
577 
국외
254 
국제
 
14
해외
 
12

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 577
67.3%
국외 254
29.6%
국제 14
 
1.6%
해외 12
 
1.4%

Length

2024-04-21T11:28:34.512951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:28:34.604744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 577
67.3%
국외 254
29.6%
국제 14
 
1.6%
해외 12
 
1.4%

성과구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
논문
411 
특허
383 
학회발표
56 
디자인
 
3
프로그램
 
3

Length

Max length4
Median length2
Mean length2.1435239
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row규격제정
2nd row논문
3rd row논문
4th row논문
5th row논문

Common Values

ValueCountFrequency (%)
논문 411
48.0%
특허 383
44.7%
학회발표 56
 
6.5%
디자인 3
 
0.4%
프로그램 3
 
0.4%
규격제정 1
 
0.1%

Length

2024-04-21T11:28:34.718262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:28:34.824236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논문 411
48.0%
특허 383
44.7%
학회발표 56
 
6.5%
디자인 3
 
0.4%
프로그램 3
 
0.4%
규격제정 1
 
0.1%

상세구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
특허
383 
SCI(10%)
107 
SCI(일반)
93 
SCI(30%)
84 
KCI
78 
Other values (7)
112 

Length

Max length8
Median length7
Mean length4.5367561
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row단체표준 제정
2nd rowSCI(일반)
3rd rowSCI(일반)
4th rowSCI(일반)
5th rowSCI(일반)

Common Values

ValueCountFrequency (%)
특허 383
44.7%
SCI(10%) 107
 
12.5%
SCI(일반) 93
 
10.9%
SCI(30%) 84
 
9.8%
KCI 78
 
9.1%
SCI(20%) 44
 
5.1%
Poster 40
 
4.7%
Oral 16
 
1.9%
국외학술지 5
 
0.6%
디자인 3
 
0.4%
Other values (2) 4
 
0.5%

Length

2024-04-21T11:28:34.934896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
특허 383
44.6%
sci(10 107
 
12.5%
sci(일반 93
 
10.8%
sci(30 84
 
9.8%
kci 78
 
9.1%
sci(20 44
 
5.1%
poster 40
 
4.7%
oral 16
 
1.9%
국외학술지 5
 
0.6%
디자인 3
 
0.3%
Other values (3) 5
 
0.6%
Distinct128
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-04-21T11:28:35.174168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.0198366
Min length2

Characters and Unicode

Total characters2588
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

Unique24 ?
Unique (%)2.8%

Sample

1st row이윤주
2nd row신효순
3rd row신효순
4th row신효순
5th row류성수
ValueCountFrequency (%)
노광철 40
 
4.7%
최원일 31
 
3.6%
배시영 30
 
3.5%
김선욱 21
 
2.4%
김진호 19
 
2.2%
박지현 18
 
2.1%
정영훈 18
 
2.1%
추용식 18
 
2.1%
최정현 17
 
2.0%
정대수 17
 
2.0%
Other values (120) 631
73.4%
2024-04-21T11:28:35.517659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
6.4%
121
 
4.7%
99
 
3.8%
91
 
3.5%
88
 
3.4%
79
 
3.1%
71
 
2.7%
68
 
2.6%
64
 
2.5%
62
 
2.4%
Other values (115) 1679
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2551
98.6%
Lowercase Letter 28
 
1.1%
Uppercase Letter 6
 
0.2%
Space Separator 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
166
 
6.5%
121
 
4.7%
99
 
3.9%
91
 
3.6%
88
 
3.4%
79
 
3.1%
71
 
2.8%
68
 
2.7%
64
 
2.5%
62
 
2.4%
Other values (98) 1642
64.4%
Lowercase Letter
ValueCountFrequency (%)
i 6
21.4%
t 4
14.3%
a 4
14.3%
u 3
10.7%
o 2
 
7.1%
l 2
 
7.1%
r 2
 
7.1%
d 1
 
3.6%
n 1
 
3.6%
e 1
 
3.6%
Other values (2) 2
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
33.3%
F 2
33.3%
U 1
16.7%
K 1
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2551
98.6%
Latin 34
 
1.3%
Common 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
166
 
6.5%
121
 
4.7%
99
 
3.9%
91
 
3.6%
88
 
3.4%
79
 
3.1%
71
 
2.8%
68
 
2.7%
64
 
2.5%
62
 
2.4%
Other values (98) 1642
64.4%
Latin
ValueCountFrequency (%)
i 6
17.6%
t 4
11.8%
a 4
11.8%
u 3
8.8%
o 2
 
5.9%
l 2
 
5.9%
G 2
 
5.9%
r 2
 
5.9%
F 2
 
5.9%
d 1
 
2.9%
Other values (6) 6
17.6%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2551
98.6%
ASCII 37
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
166
 
6.5%
121
 
4.7%
99
 
3.9%
91
 
3.6%
88
 
3.4%
79
 
3.1%
71
 
2.8%
68
 
2.7%
64
 
2.5%
62
 
2.4%
Other values (98) 1642
64.4%
ASCII
ValueCountFrequency (%)
i 6
16.2%
t 4
10.8%
a 4
10.8%
u 3
8.1%
3
8.1%
o 2
 
5.4%
l 2
 
5.4%
G 2
 
5.4%
r 2
 
5.4%
F 2
 
5.4%
Other values (7) 7
18.9%

권리구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
단독출원
318 
주저자
310 
공저자
101 
공동출원
71 
주발표
56 

Length

Max length4
Median length3
Mean length3.4550758
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row규격제정
2nd row주저자
3rd row주저자
4th row주저자
5th row주저자

Common Values

ValueCountFrequency (%)
단독출원 318
37.1%
주저자 310
36.2%
공저자 101
 
11.8%
공동출원 71
 
8.3%
주발표 56
 
6.5%
규격제정 1
 
0.1%

Length

2024-04-21T11:28:35.638004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:28:35.746080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독출원 318
37.1%
주저자 310
36.2%
공저자 101
 
11.8%
공동출원 71
 
8.3%
주발표 56
 
6.5%
규격제정 1
 
0.1%
Distinct848
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-04-21T11:28:36.138222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length223
Median length129
Mean length68.239207
Min length7

Characters and Unicode

Total characters58481
Distinct characters541
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique839 ?
Unique (%)97.9%

Sample

1st row반도체 정전척용 접착제의 접착력 시험방법
2nd rowEvaluation of alumina slurry dispersion by nuclearmagnetic resonance relaxation as a comparison toconventional dispersion evaluation methods
3rd rowEffect of the subsidiary materials of the manufacturing process on the microstructure of the composite laminate
4th rowEffect of Mixing Ratio and Heating Rate on SinteringProperties of SiO2/Glass Composite
5th rowCast WC-Co alloy-based tool manufacturing using a polymeric moldprepared via digital light processing 3D printing
ValueCountFrequency (%)
321
 
3.4%
of 315
 
3.4%
for 146
 
1.6%
and 140
 
1.5%
방법 140
 
1.5%
제조방법 135
 
1.4%
제조 125
 
1.3%
104
 
1.1%
이용한 100
 
1.1%
the 90
 
1.0%
Other values (3558) 7786
82.8%
2024-04-21T11:28:36.620555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8515
 
14.6%
e 3604
 
6.2%
i 3225
 
5.5%
o 2737
 
4.7%
t 2678
 
4.6%
a 2647
 
4.5%
n 2385
 
4.1%
r 2370
 
4.1%
s 1773
 
3.0%
c 1619
 
2.8%
Other values (531) 26928
46.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32659
55.8%
Other Letter 12534
 
21.4%
Space Separator 8588
 
14.7%
Uppercase Letter 3311
 
5.7%
Dash Punctuation 538
 
0.9%
Decimal Number 528
 
0.9%
Other Punctuation 198
 
0.3%
Close Punctuation 52
 
0.1%
Open Punctuation 52
 
0.1%
Math Symbol 19
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
491
 
3.9%
422
 
3.4%
360
 
2.9%
358
 
2.9%
354
 
2.8%
321
 
2.6%
316
 
2.5%
315
 
2.5%
292
 
2.3%
234
 
1.9%
Other values (440) 9071
72.4%
Lowercase Letter
ValueCountFrequency (%)
e 3604
11.0%
i 3225
9.9%
o 2737
 
8.4%
t 2678
 
8.2%
a 2647
 
8.1%
n 2385
 
7.3%
r 2370
 
7.3%
s 1773
 
5.4%
c 1619
 
5.0%
l 1584
 
4.9%
Other values (20) 8037
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 372
 
11.2%
O 319
 
9.6%
C 317
 
9.6%
A 230
 
6.9%
P 208
 
6.3%
E 185
 
5.6%
T 177
 
5.3%
M 173
 
5.2%
D 144
 
4.3%
N 142
 
4.3%
Other values (20) 1044
31.5%
Decimal Number
ValueCountFrequency (%)
2 204
38.6%
3 162
30.7%
0 39
 
7.4%
1 31
 
5.9%
4 29
 
5.5%
5 26
 
4.9%
6 18
 
3.4%
7 9
 
1.7%
8 8
 
1.5%
9 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 88
44.4%
/ 42
21.2%
. 37
18.7%
: 23
 
11.6%
@ 4
 
2.0%
· 2
 
1.0%
% 1
 
0.5%
! 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 12
63.2%
2
 
10.5%
< 2
 
10.5%
~ 1
 
5.3%
× 1
 
5.3%
= 1
 
5.3%
Space Separator
ValueCountFrequency (%)
8515
99.1%
  73
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35952
61.5%
Hangul 12534
 
21.4%
Common 9977
 
17.1%
Greek 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
491
 
3.9%
422
 
3.4%
360
 
2.9%
358
 
2.9%
354
 
2.8%
321
 
2.6%
316
 
2.5%
315
 
2.5%
292
 
2.3%
234
 
1.9%
Other values (440) 9071
72.4%
Latin
ValueCountFrequency (%)
e 3604
 
10.0%
i 3225
 
9.0%
o 2737
 
7.6%
t 2678
 
7.4%
a 2647
 
7.4%
n 2385
 
6.6%
r 2370
 
6.6%
s 1773
 
4.9%
c 1619
 
4.5%
l 1584
 
4.4%
Other values (46) 11330
31.5%
Common
ValueCountFrequency (%)
8515
85.3%
- 538
 
5.4%
2 204
 
2.0%
3 162
 
1.6%
, 88
 
0.9%
  73
 
0.7%
) 52
 
0.5%
( 52
 
0.5%
/ 42
 
0.4%
0 39
 
0.4%
Other values (21) 212
 
2.1%
Greek
ValueCountFrequency (%)
β 10
55.6%
α 5
27.8%
κ 2
 
11.1%
γ 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45845
78.4%
Hangul 12534
 
21.4%
None 98
 
0.2%
Math Operators 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8515
18.6%
e 3604
 
7.9%
i 3225
 
7.0%
o 2737
 
6.0%
t 2678
 
5.8%
a 2647
 
5.8%
n 2385
 
5.2%
r 2370
 
5.2%
s 1773
 
3.9%
c 1619
 
3.5%
Other values (67) 14292
31.2%
Hangul
ValueCountFrequency (%)
491
 
3.9%
422
 
3.4%
360
 
2.9%
358
 
2.9%
354
 
2.8%
321
 
2.6%
316
 
2.5%
315
 
2.5%
292
 
2.3%
234
 
1.9%
Other values (440) 9071
72.4%
None
ValueCountFrequency (%)
  73
74.5%
β 10
 
10.2%
α 5
 
5.1%
· 2
 
2.0%
κ 2
 
2.0%
× 1
 
1.0%
γ 1
 
1.0%
1
 
1.0%
1
 
1.0%
1
 
1.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct390
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2024-04-21T11:28:36.849122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length4
Mean length7.6732789
Min length4

Characters and Unicode

Total characters6576
Distinct characters33
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

Unique388 ?
Unique (%)45.3%

Sample

1st rowAHN202301100009
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 467
54.4%
10-2024-0007781 2
 
0.2%
10-2024-0007780 1
 
0.1%
10-2023-0155864 1
 
0.1%
10-2023-0144546 1
 
0.1%
10-2023-0144734 1
 
0.1%
10-2023-0144715 1
 
0.1%
10-2023-0144312 1
 
0.1%
10-2023-0143742 1
 
0.1%
10-2023-0141839 1
 
0.1%
Other values (381) 381
44.4%
2024-04-21T11:28:37.183496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 916
13.9%
2 749
11.4%
1 680
10.3%
- 537
8.2%
467
7.1%
467
7.1%
467
7.1%
467
7.1%
3 415
 
6.3%
4 327
 
5.0%
Other values (23) 1084
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4130
62.8%
Other Letter 1868
28.4%
Dash Punctuation 537
 
8.2%
Uppercase Letter 23
 
0.3%
Other Punctuation 14
 
0.2%
Math Symbol 3
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 5
21.7%
E 3
13.0%
P 2
 
8.7%
T 2
 
8.7%
K 2
 
8.7%
R 2
 
8.7%
S 1
 
4.3%
A 1
 
4.3%
H 1
 
4.3%
N 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
0 916
22.2%
2 749
18.1%
1 680
16.5%
3 415
10.0%
4 327
 
7.9%
5 305
 
7.4%
9 196
 
4.7%
7 193
 
4.7%
6 178
 
4.3%
8 171
 
4.1%
Other Letter
ValueCountFrequency (%)
467
25.0%
467
25.0%
467
25.0%
467
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
42.9%
. 4
28.6%
, 4
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 537
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4685
71.2%
Hangul 1868
 
28.4%
Latin 23
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 916
19.6%
2 749
16.0%
1 680
14.5%
- 537
11.5%
3 415
8.9%
4 327
 
7.0%
5 305
 
6.5%
9 196
 
4.2%
7 193
 
4.1%
6 178
 
3.8%
Other values (6) 189
 
4.0%
Latin
ValueCountFrequency (%)
C 5
21.7%
E 3
13.0%
P 2
 
8.7%
T 2
 
8.7%
K 2
 
8.7%
R 2
 
8.7%
S 1
 
4.3%
A 1
 
4.3%
H 1
 
4.3%
N 1
 
4.3%
Other values (3) 3
13.0%
Hangul
ValueCountFrequency (%)
467
25.0%
467
25.0%
467
25.0%
467
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4708
71.6%
Hangul 1868
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 916
19.5%
2 749
15.9%
1 680
14.4%
- 537
11.4%
3 415
8.8%
4 327
 
6.9%
5 305
 
6.5%
9 196
 
4.2%
7 193
 
4.1%
6 178
 
3.8%
Other values (19) 212
 
4.5%
Hangul
ValueCountFrequency (%)
467
25.0%
467
25.0%
467
25.0%
467
25.0%

Correlations

2024-04-21T11:28:37.283870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국내외 구분성과구분상세구분권리구분
국내외 구분1.0000.6470.8470.651
성과구분0.6471.0001.0000.977
상세구분0.8471.0001.0000.978
권리구분0.6510.9770.9781.000
2024-04-21T11:28:37.367187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세구분권리구분성과구분국내외 구분
상세구분1.0000.7790.9960.543
권리구분0.7791.0000.7740.480
성과구분0.9960.7741.0000.475
국내외 구분0.5430.4800.4751.000
2024-04-21T11:28:37.460802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국내외 구분성과구분상세구분권리구분
국내외 구분1.0000.4750.5430.480
성과구분0.4751.0000.9960.774
상세구분0.5430.9961.0000.779
권리구분0.4800.7740.7791.000

Missing values

2024-04-21T11:28:33.955307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:28:34.106598image/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

등록일시국내외 구분성과구분상세구분책임자권리구분발명의명칭등록번호
02022-06-08국내규격제정단체표준 제정이윤주규격제정반도체 정전척용 접착제의 접착력 시험방법AHN202301100009
12022-01-01국외논문SCI(일반)신효순주저자Evaluation of alumina slurry dispersion by nuclearmagnetic resonance relaxation as a comparison toconventional dispersion evaluation methods해당없음
22022-01-01국외논문SCI(일반)신효순주저자Effect of the subsidiary materials of the manufacturing process on the microstructure of the composite laminate해당없음
32022-01-01국외논문SCI(일반)신효순주저자Effect of Mixing Ratio and Heating Rate on SinteringProperties of SiO2/Glass Composite해당없음
42022-01-01국외논문SCI(일반)류성수주저자Cast WC-Co alloy-based tool manufacturing using a polymeric moldprepared via digital light processing 3D printing해당없음
52022-01-01국내논문SCI(30%)김유진주저자effect of sulfate ion on synthesis of 5Mg(OH)2MgSO4 3H2O whiskers using non-hydrothermal method with acid catalyst해당없음
62022-01-01국내논문SCI(10%)남우현공저자Sonochemical activation in aqueous medium for solid-state synthesis of BaTiO3 powders해당없음
72022-01-01국외논문SCI(10%)윤지선주저자Designing an interpenetrating network of silane-functionalized nanocomposites for enhanced particle dispersity and interfacial bonding strength해당없음
82022-01-01국내논문SCI(10%)윤지선주저자Book-Shaped All-in-One Piezo-Triboelectric Energy Harvester Module with Enhanced Current Characteristics As an Eco-Friendly Energy Source해당없음
92022-01-01국내논문SCI(20%)정현진주저자Silane-treated BaTiO3 ceramic powders for multilayer ceramic capacitor with enhanced dielectric properties해당없음
등록일시국내외 구분성과구분상세구분책임자권리구분발명의명칭등록번호
8472023-10-18국내학회발표Oral김형훈주발표음극재 안정화를 위한 파우더 원자층 증착 기술 개발해당없음
8482023-10-18국내학회발표Poster화영식주발표2차원 SnSe2 형상과 NO2 가스 감응 특성과의 상관관계 연구해당없음
8492023-10-20국내학회발표Poster김선우주발표열처리 조건에 다른 알루미나 코팅의 내플라즈마성 및 미세구조해당없음
8502023-10-20국내학회발표Poster변영민주발표석영유리 도가니의 SiO2 원료종류별 투명층 연구해당없음
8512023-10-20국내학회발표Poster변영민주발표내플라즈마성 세라믹의 표면연말를 통한 플라즈마 열화방지해당없음
8522023-11-01국제학회발표Poster서연주주발표Discriminating near-infrared and visible light using bias variation in perovsktie-silicon photodetector without the need for filter해당없음
8532023-11-01국제학회발표Poster신동건주발표Dual-schottky junction-based photodetector for UV-selective and broad-band detection without filter해당없음
8542023-11-07국내학회발표Oral김영재주발표에너지 절약을 위한 다층 세라믹 복사냉각 기술 개발해당없음
8552023-11-15국제학회발표Poster정상효주발표Properties of Germanate System Glass for Optical Lenses According to B2O3 Content해당없음
8562023-11-15국제학회발표Poster정상효주발표Leakage rate Evaluation of CaO-MgO-SiO2 System Glass-ceramics Sealantsfor Intermediate-Temperature Solid Oxide Fuel Cells해당없음

Duplicate rows

Most frequently occurring

등록일시국내외 구분성과구분상세구분책임자권리구분발명의명칭등록번호# duplicates
02023-04-26국내학회발표Poster김근우주발표Evaluating Estimation Model for Anisotropy parameters of Solid-liquid Interfacial Energy해당없음2
12024-01-18국내특허특허노광철단독출원전극 밀도를 향상시킨 망간계 산화물 전극 및 그 제조 방법과 이의 수계 아연이온전지10-2024-00077812