Full text search for "02"
- 20100428_DM365_Boot_cfg_reg . . . . 1 match
[[Clip(img02)]]
- 20100513_new_camtron_hw_package . . . . 1 match
[[Clip(img02)]]
- 20100802_ipnc_osd . . . . 1 match
2010/08/02 ~
- 20101101_HDCCTV_pal . . . . 1 match
[[clip(img02)]]
- 20101105_hdcctv_image_data_path . . . . 1 match
[[clip(img02)]]
- 52hour . . . . 3 matches
* 50~299인 기업은 2020년 1월 1일부터 시행
* 5~49인인 기업은 2021년 7월 1일부터 시행
* 30인 미만 기업에 대해선 2022년 12월 31일까지 특별연장근로 8시가을 추가 허용함.
- AliasPageNames . . . . 2 matches
# $Id: AliasPageNamesDefaultKo,v 1.1 2009/01/02 17:26:39 root Exp root $
# $Date: 2009/01/02 17:26:39 $
- AuxCAM . . . . 5 matches
2015년 9월 14일 아침, 최초의 중력파를 LIGO 검출기가 검출했다. 그 이후로 다양한 질량의 블랙홀 병합과 중성자 별 병합 이벤트에 대한 중력파 검출을 했고 지금도 검출중이다. 지상에 설치된 Advanced LIGO의 Sensitivity [* A. Buikema et al. '''Sensitivity and Performance of the Advanced LIGO Detectors in the Third Observing Run''', Phys. Rev. D 102, 2020]는 현재 아래 그림과 같다.
# Temporal convolution, the number of parameters: 1 * 4 * 256 = 1024
[* Wonjun Ko et al., Multi-Scale Neural Network for EEG Representation Learning in BCI, IEEE Computational Intelligence Magazine 16 (2), 31-45, 2021, https://arxiv.org/pdf/2003.02657.pdf]
- BLAS . . . . 8 matches
[ 0.21 0.22 0.23 ] [ 1021 1022 ] = [ 674.06 674.72 ]
1021, 1022,
[ 0.21 0.22 0.23 ] [ 1021 1022 ] = [ 674.06 674.72 ]
1021, 1022,
- Bias_Variance_Tradeoff . . . . 1 match
Gaussian mixture 모델처럼 학습데이터 하나가 \(\theta_i\)를 갖는다. \(\theta_i\) 0에서 1사이의 값을 갖는다. [* http://jaejunyoo.blogspot.com/2018/02/minimizing-negative-log-likelihood-in-kor-3.html]
- Blog/UserPreferences . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- DM365_VoiceCodec . . . . 1 match
[[clip(img02)]]
- DSC_Depthwise_separable_Convolution . . . . 1 match
일반적인 Convolution 연산에 대해서 생각해 보자.[* https://zzsza.github.io/data/2018/02/23/introduction-convolution/] 위 그림과 같이 \(D_F, D_F, M\) 차원의 입력을 N개의 커널로 합성곱(Convolutional operator)을 수행하게 되면 \(D_G \times D_G \times N\) 크기의 결과를 얻을 수 있다. 이 결과를 얻기 위해서 사용한 weight의 갯수를 생각해 보면 \(D_K \times D_K \times M \times N\)개가 된다.
- FPGA_PSA_Implementation . . . . 1 match
|| 1024|| 2428 clk|| 3205 clk||
- Filesystem_yaffs2Yaffs2 . . . . 1 match
http://crom991.blog.me/150021063866
- Fortran95_Tutorial . . . . 3 matches
x = 0.025
x= 0.0250000
x=0.025
- FrontPage . . . . 4 matches
|| [:index_2012 2012] || [:index_2016 2016] || [:index_2019 2019] || [:index_2023 2023] || [:index_2025 2025] || [:arduino_list 아두이노 관련] ||
- GAN_iclr_2017 . . . . 1 match
ICLR 2017 Workshop track에서 발표가 있었던거 같은 논문 PRECISE RECOVERY OF LATENT VECTORS FROM GENERATIVE ADVERSARIAL NETWORKS [* https://arxiv.org/pdf/1702.04782.pdf]을 읽고 논문의 리뷰를 작성한다.
- GPIO . . . . 1 match
[[Clip(img02)]]
- HDCCTV50HZ . . . . 2 matches
[[Clip(img02)]]
syscfg->VPSS_CLK_CTRL = 0x00000028; /* use PLL2(72.5Mhz), enable VENC */
- HDCCTV_ISIF . . . . 1 match
[[Clip(img02)]]
- HDCCTV_VPBE . . . . 1 match
[[clip(img02)]]
- HDCCTV_조이스틱 . . . . 1 match
[[Clip(img02)]]
- HelpOnLinking . . . . 2 matches
* [#20030702 Anchor Name]
* [#20030702 Anchor Name]
- I2C . . . . 1 match
[[Clip(img02)]]
- IPNC . . . . 4 matches
1. [:20100217 오디오 드라이버 점검]
1. [:20100221 BSC 드라이버 작성]
1. [:20100222 Appro IPNC 소스 분석]
1. [:20100223 Camtron IRIS 작업]
- IPNC_EVM3 . . . . 1 match
[[Clip(img02)]]
- IPNC업무 . . . . 4 matches
1. [:20100217 오디오 드라이버 점검]
1. [:20100221 BSC 드라이버 작성]
1. [:20100222 Appro IPNC 소스 분석]
1. [:20100223 Camtron IRIS 작업]
- Inception_GoogLeNet . . . . 1 match
* 마지막 Fully Connected layer에 Batch Normlization(BN)[* Sergey Ioffe, Christian Szegedy, '''Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift''', PMLR, 2015, https://arxiv.org/pdf/1502.03167v3.pdf] 적용
- InterWiki . . . . 1 match
Can wikis be part of the Wiki:CyberInfrastructure for ConnectionBuildingNetworks? -- JonathanSmith [[Date(2003-06-28T19:17:02)]]
- IsbnMacro . . . . 4 matches
[[ISBN(0201657910)]]
[[ISBN(0201657910,K,noimg)]]
[[ISBN(0201657910)]]
[[ISBN(0201657910,K,noimg)]]
- LVC_2016_Fall_Glasgow . . . . 2 matches
[https://www.google.co.kr/maps/dir/Ambassador+Hotel,+Kelvin+Drive,+Glasgow,+United+Kingdom/Hilton+Glasgow+Grosvenor/@55.8789556,-4.2879819,16z/data=!4m14!4m13!1m5!1m1!1s0x488845cb22b0e543:0x79ea4fdc6b7a13a9!2m2!1d-4.286027!2d55.8802082!1m5!1m1!1s0x0:0xce421ce04def1787!2m2!1d-4.291085!2d55.877959!3e2?hl=ko 숙소 및 출장지 지도]
- Linux_pci_driver . . . . 27 matches
00:14.5 Multimedia audio controller: ATI Technologies Inc IXP SB400 AC'97 Audio Controller (rev 02)
02:03.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL-8139/8139C/8139C+ (rev 10)
02:05.0 CardBus bridge: O2 Micro, Inc. OZ711MP1/MS1 MemoryCardBus Controller (rev 21)
02:05.2 SD Host controller: O2 Micro, Inc. Integrated MMC/SD Controller (rev 01)
02:05.3 Bridge: O2 Micro, Inc. Integrated MS/xD Controller (rev 01)
02:05.4 FireWire (IEEE 1394): O2 Micro, Inc. Firewire (IEEE 1394) (rev 02)
02:09.0 Network controller: RaLink RT2561/RT61 rev B 802.11g
0218
0228
022a
022b
022c
0248
├── 0000:02:03.0 -> ../../../devices/pci0000:00/0000:00:14.4/0000:02:03.0
├── 0000:02:05.0 -> ../../../devices/pci0000:00/0000:00:14.4/0000:02:05.0
├── 0000:02:05.2 -> ../../../devices/pci0000:00/0000:00:14.4/0000:02:05.2
├── 0000:02:05.3 -> ../../../devices/pci0000:00/0000:00:14.4/0000:02:05.3
├── 0000:02:05.4 -> ../../../devices/pci0000:00/0000:00:14.4/0000:02:05.4
└── 0000:02:09.0 -> ../../../devices/pci0000:00/0000:00:14.4/0000:02:09.0
- Linux_ulimit_commandUlimit명령어 . . . . 4 matches
open files (-n) 1024
open files (-n) 1024
open files (-n) 1024 -> 한 프로세스에서 열 수 있는 open file descriptor의 최대 숫자(열수 있는 최대 파일 수)
oracle soft nofile 1023
- List_license라이센스리스트 . . . . 7 matches
Serial Number : 1231-02401-006298
◈ 기술적인 문의 : 02-6006-5100 (Lic Number : #596001)
Mac IE 1330-0009-2586-6676-4184-6112 ◈ Adobe Flash Professional CS5Win KOR 1302-1009-0108-9151-6518-2673
Win IE 1302-1000-5142-8266-2034-8577
Mac IE 1302-0008-2307-6538-8818-4323
◈ Adobe Acrobat9Win KOR 1118-1007-6206-0076-2684-0268
Win IE 1118-1007-6206-0076-2684-0268
- LocalKeywords . . . . 15 matches
02 1
02 1
02 1
02 1
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02 1
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- MIB . . . . 1 match
http://prettymonkey02.tistory.com/379
- MMPC_CCPV&IPNC . . . . 6 matches
1. [:20100217 오디오 드라이버 점검]
1. [:20100221 BSC 드라이버 작성]
1. [:20100222 Appro IPNC 소스 분석]
1. [:20100223 Camtron IRIS 작업]
1. [:20100802_ipnc_osd IPNC OSD 출력을 위한 작업(작업중)]
1. [:20100223 IRIS]
- Mame . . . . 2 matches
흔히 Retro Game이라고 해서 고전 게임 오락실 아케이드 게임 등으로 표현되는 게임들을 PC에서 돌릴 수 있도록 해주는 에뮬레이터가 있다. 에뮬레이터는 https://www.mamedev.org/release.html에서 받을 수 있는데 현재 버전 0.220 까지 릴리즈 되었다. (2020년 4월 6일) 이 링크에는 Windows Os만 나와 있는데 Linux와 Mac OS에도 Mame가 동작하는 것으로 알고 있다. 하지만 이 글에서는 Windows 10을 기준으로 테스트를 진행할 것이므로 Windows Os에 대해서만 다루겠다.
설치라고 할것도 없다. 그냥 위 링크에서 mame0220b_64bit.ext를 받아서 클릭하면 압축 파일을 추는데 그때 압축 파일을 푸는 경로에 파일이 복사되고 별도의 추가적인 설치과정 없이 실행 가능하다.
- NVML_driver_error . . . . 1 match
nvidia 14024704 2 nvidia_modeset,nvidia_uvm
- OekakiMacro . . . . 9 matches
[[OeKaki(1081402796)]]
[[OeKaki(1081402796)]]
[[OeKaki(1081402796)]]
[[OeKaki(1081402796)]]
[[OeKaki(1081402796)]]
[[OeKaki(1081402796)]]
[[OeKaki(1081402796)]]
[[OeKaki(1115875020)]]
[[OeKaki(1241249023)]]
- SIMD . . . . 1 match
attachment:img02.png
- SVN . . . . 1 match
# Copyright (c) 2000-2002 CollabNet. All rights reserved.
- UsenetMacro . . . . 7 matches
* $Id: UsenetMacro,v 1.13 2005/02/05 03:23:51 root Exp root $
$_ = @fread($fp, 1024);
if (strlen($_) < 1024) break;
[[Usenet(http://groups-beta.google.com/group/comp.unix.programmer/browse_thread/thread/d302919d5af2b802)]]
[[Usenet(http://groups-beta.google.com/group/comp.unix.programmer/browse_thread/thread/d302919d5af2b802)]]
- Variational_inference . . . . 1 match
파라메터는 정규분포[* norman3. "3. The Gaussian Distribution". <http://norman3.github.io/prml/docs/chapter02/3_1.html> (18 Dec 2017).]의 파마멘터
- altera_opencl_init . . . . 8 matches
알테라 홈[[footnote(https://www.altera.com/myaltera/mal-signin.jsp (iou78 // kims1028))]] 에서 Quartus를 다운 받아서 설치 한다.
Version: OpenCL 1.0 Altera SDK for OpenCL, Version 12.1 Build 102
VERSION: OpenCL 1.0 Altera SDK for OpenCL, Version 12.1 Build 102
MEM_BASE_ADDR_ALIGN: 1024
VENDOR_ID: 32902
MAX_MEM_ALLOC_SIZE: 4214502400
MEM_BASE_ADDR_ALIGN: 1024
char cmd[4*1024];
- androd_wifi_zone . . . . 3 matches
attachment:img02.png
key_mgmt=WPA-EAP IEEE8021X
key_mgmt=WPA-EAP IEEE8021X
- ann_exam . . . . 4 matches
|| ALL_S6_959126400_hveto_channels_signif_dt_set_0, MSE: 0.045171 || ALL_S6_959126400_hveto_channels_signif_dt_set_1, MSE: 0.045024 ||
|| ALL_S6_959126400_hveto_channels_signif_dt_set_0, MSE: 0.040277 || ALL_S6_959126400_hveto_channels_signif_dt_set_1, MSE: 0.039591 ||
|| ALL_S6_959126400_hveto_channels_signif_dt_set_0, MSE: 0.029274 || ALL_S6_959126400_hveto_channels_signif_dt_set_1, MSE: 0.048325 ||
|| ALL_S6_959126400_hveto_channels_signif_dt_set_0, MSE: 0.024107 || ALL_S6_959126400_hveto_channels_signif_dt_set_1, MSE: 0.051526 ||
- ann_exam_part3 . . . . 2 matches
0.0155741095102 284749.494405
0.0151532480506 246020.100114
- arXiv_1911 . . . . 2 matches
The model that achieves the highest accuracy on our validation dataset, at 84.1%, contains only 87 (0.02%) nonzero coefficients. These coefficients correspond to features from only 56 distinct channels, indicating specific channels of potential detector issues at training time. None of these 56 channels are known to be coupled with or contaminated by the GW strain. This demonstrates that a small subset of the features and channels is sufficient to consider for glitch classification. It also demonstrates that elastic net regularization is beneficial not only to interpretability but also to prediction accuracy.
검증 데이터 세트에서 가장 높은 정확도(84.1%)를 달성한 모델에는 0이 아닌 계수가 87(0.02%)개만 포함되어 있습니다. 이 계수는 56개의 고유한 채널의 기능에 해당하며 훈련 시간에 잠재적인 감지기 문제의 특정 채널을 나타냅니다. 이 56개 채널 중 어느 것도 GW 균주와 연결되거나 오염된 것으로 알려져 있지 않습니다. 이는 기능 및 채널의 작은 하위 집합으로 글리치 분류를 고려하기에 충분함을 보여줍니다. 또한 Elastic net regularization이 해석 가능성뿐만 아니라 예측 정확도에도 도움이 됨을 보여줍니다.
- association_rule . . . . 1 match
표. 1을 기준으로 \(3^6 - 2^7 +1 = 602\) 규칙들에 대한 지지도와 신뢰도를 계산해야 한다.
- atrix_custom_rom . . . . 3 matches
해당 파일은 호주의 통신사인 텔스트라에서 출시된 아트릭스 [https://dl.dropbox.com/s/pm1hjbw3hk7yg0n/OLYEM_U4_1.4.2_SIGNED_USAOLYEMTELSTRA_P029_A020_M005_HWolympus_1g_1FF.7z?dl=1 순정롬] 파일입니다.
1. [http://api.viglink.com/api/click?format=go&drKey=1359&loc=http%3A%2F%2Fforum.xda-developers.com%2Fshowthread.php%3Ft%3D1136261&v=1&libid=1310607830028&out=http%3A%2F%2Fdiamantephoto.com%2FIHOP_Bell.rar&ref=http%3A%2F%2Fcafe.naver.com%2FArticleRead.nhn%3Farticleid%3D1062533%26clubid%3D19929459&title=%5BPUDDING%5D%20International%20House%20of%20Pudding!%20(Unlock%20your%20Bootloader%2C%20ATT%2C%20and%20Int'l)%20-%20xda-developers&txt=http%3A%2F%2Fdiamantephoto.com%2FIHOP_Bell.rar Unlocker SBF]
- back_end_lcd . . . . 1 match
[[Clip(img02)]]
- batch_normalization . . . . 13 matches
* 작성일: 2020년 3월 11일
* 수정된날짜: 2020년 3월 17일
* (2020-03-11) Batch Normalization 내용 조사 및 정리
* (2020-03-13) Internal Covariate Shift vs Covariate Shift 내용 분리 및 학습 알고리즘 정리
Batch Normalization[* ''Sergey Ioffe, Christian Szegedy'', '''"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"''', ICML (2015) <https://arxiv.org/abs/1502.03167>]은 2015년 ICML에 발표되어 지금까지 많이 사용되고 있는 기술이다. 딥러닝의 학습 속도 향상을 위해 사용되는 기술이지만 속도 향상뿐만 아니라 다양한 이슈에 적용되고 있기 때문에 하나씩 정리해 보려고 한다. 이와 유사한 Self-Normalizing Neural Networks (NIPS,2 2017)[* https://pod3275.github.io/paper/2019/03/27/SELU.html]논문도 있는데 이건 다음 기회에...
1 0.2600693702697754 0.3048608899116516
5 0.08141002058982849 0.11460724472999573
8 0.06636704504489899 0.09423409402370453
10 0.05837002769112587 0.09201488643884659
12 0.05416496843099594 0.08224174380302429
13 0.05068517476320267 0.08085747063159943
15 0.04740294814109802 0.07898777723312378
- blacklist . . . . 2 matches
2002 국제언론인협회(IPI) 한국위원회 위원장
2002 아시아신문재단(PFA) 한국위원회 이사
- cluster_install_work . . . . 2 matches
Private IP : 192..168.0.102
192.168.0.102 node2
- contrastive_self_supervised_learning . . . . 2 matches
Ankesh Anand의 블로그를[* https://ankeshanand.com/blog/2020/01/26/contrative-self-supervised-learning.html] 번역한 글인 이민경님의 블로그
[* https://ankeshanand.com/blog/2020/01/26/contrative-self-supervised-learning.html]
- cross_entropy . . . . 2 matches
조건부 엔트로피[* admin (17 Jun 2016). <https://datascienceschool.net/view-notebook/d3ecf5cc7027441c8509c0cae7fea088/>. (23 Jan 2018)]는 상관관계가 있는 두 확률변수 X, Y가 있고 X의 값을 안다면 Y의 확률변수가 가질 수 있는 정보의 양을 뜻한다.
* 분포 p, q의 중간 지점을 잡고 각각에서의 거리의 앞으로 표현했다.[* HyeongMin Lee (15 Mar 2018) <https://hyeongminlee.github.io/post/prob002_kld_jsd/> (4 Apr 2019)]
- cv_report3 . . . . 1 match
Optimazation으로 Dynamic programming[* ZeroCho. (2016). "동적 프로그래밍(Dynamic programming)" <https://www.zerocho.com/category/Algorithm/post/584b979a580277001862f182>. (4 Dec 2017)]을 사용하겠다.
- dailynote_01_12_2014 . . . . 1 match
''1802: unauthorized network card is plugged in power off and remove the mini pci network card''
- data_mining_weka . . . . 2 matches
Root mean squared error 0.1602
Mean absolute error 0.0285
- data_mining_weka2 . . . . 43 matches
Within cluster sum of squared errors: 5026.692691909824
input1 38.8143 86.9439 3.3147 87.6755 27.7688 44.8027 19.6774 13.2893 23.6117 43.8156 44.9095
input3 40.6056 57.0572 30.2481 52.4283 63.094 20.5021 43.339 53.2713 7.0831 21.1364 27.7349
input4 83.7742 92.0187 72.42 87.1373 94.4828 71.9112 96.8861 98.7628 45.6594 79.3802 69.9045
input8 44.499 74.368 94.0322 28.3742 65.5797 10.5238 48.4407 42.3351 8.1485 42.6023 2.0289
input12 34.8265 33.026 50.5038 12.497 22.9667 52.1322 7.8302 11.9928 83.9373 60.7343 54.951
input13 55.0223 49.1653 56.2417 62.8747 52.0852 45.0744 51.721 33.4762 43.9142 72.8907 88.3693
2 24 0 1027 0 1 0 0 1 0 | 3
input12 34.8265 22.9345 32.8914 50.2877 60.6399 12.7572 83.8351 9.8762 19.0043 54.4187 64.0276
input13 55.0223 52.1994 49.0074 56.1283 72.9285 62.2489 44.0378 44.1815 49.2811 88.7771 40.0707
1027 2 24 1 0 0 1 0 0 0 | 3
77 0 156 1 1 0 902 1 0 4 | 7
Cluster 0: 17.598296,79.113208,47.943396,93.738081,74.865896,83.890241,64.570704,58.301481,54.362548,31.765064,45.950497,19.379184,47.623859,16.104078,60.958815,15.173666,{4929} <0,1,2,3,4,5,6,7,8>
Cluster 1: 70.875673,95.43017,38.313303,84.148777,17.436801,53.72731,18.709905,23.640282,44.12557,12.722752,75.228761,30.117696,71.271032,47.380025,42.721923,43.759635,{2413} <0,1,2,3,4,5,6,7,8,9>
Cluster 3: 28.555838,87.752115,16.279188,57.083756,43.41709,22.2978,54.726734,2.818951,54.824027,27.034687,63.539763,69.713198,56.123519,96.055838,35.433164,84.554992,{1182} <0,1,2,3,4,5,6,7,9>
Cluster 6: 24.691489,58.191489,68.43617,69.638298,79.723404,94.585106,17.691489,90.276596,24.521277,64.223404,83.670213,50.56383,73.361702,22.425532,32.925532,5.702128,{94} <0,1,2,3,4,6,7,8,9>
(10992.0) (2469.0) (1174.0) (931.0) (573.0) (548.0) (1021.0) (1730.0) (1144.0) (961.0) (441.0)
input2 85.1203 80.4188 97.7078 61.4973 93.7679 76.6022 88.383 83.715 98.0743 87.7981 85.6712
input7 51.2203 56.4467 6.5145 91.3169 33.5445 75.0383 52.5181 55.1145 43.7316 57.0291 38.1791
input13 55.0223 43.7493 63.1874 56.2889 76.3176 37.281 43.6787 52.1503 72.8855 49.0937 92.2109
- diffusion . . . . 2 matches
https://jayhey.github.io/deep%20learning/2018/02/06/saimese_network/
https://pyimagesearch.com/2023/01/09/face-recognition-with-siamese-networks-keras-and-tensorflow/
- dm365_filter_change . . . . 1 match
[[Clip(02)]]
- dm365_wdr_driver . . . . 1 match
regw(0x026c, HST_0_VSZ);
- docker_influxdb . . . . 1 match
docker run -d -p 8086:8086 --name influxdb -v $PWD/data:/var/lib/influxdb2 -v $PWD/config:/etc/influxdb2 -e DOCKER_INFLUXDB_INIT_MODE=setup -e DOCKER_INFLUXDB_INIT_USERNAME=wskim -e DOCKER_INFLUXDB_INIT_PASSWORD=kims1028 -e DOCKER_INFLUXDB_INIT_ORG=my-org -e DOCKER_INFLUXDB_INIT_BUCKET=test-bucket -e DOCKER_INFLUXDB_INIT_ADMIN_TOKEN=my-secret-token influxdb
- docker_mongodb . . . . 2 matches
MongoDB는 [* https://jsonobject.tistory.com/484] 대표적인 NoSQL[* https://fors.tistory.com/402] 데이터베이스이다.
https://fors.tistory.com/402
- docker_tutorial . . . . 1 match
be765df2091093f51a66f315e75d474c1806ac96486d293affec5028e7db5918
- dsp_report10 . . . . 1 match
\alpha &= \frac{1}{\varepsilon} + \sqrt{1+\frac{1}{\varepsilon^2}} = 4.1702 \\
- dsp_report7 . . . . 3 matches
&=z\left ( \cfrac{4.0285 - 2.6203z^{-1}}{1 - 1.2728z^{-1} + 0.81x^{-2}} - \cfrac{0.8087}{1-\frac{1}{4}z^{-1}}\right ),\ |z| > 0.9
y(n)=\left \{ 4.0285(0.9)^{n+1}\cos\left [ \cfrac{\pi(n+1)}{4} \right ] -0.0889(0.9)^{n+1}\sin\left [ \cfrac{\pi (n+1)}{4}\right ] -0.8087(1/4)^{n+1}\right \}u(n+1)
H(z)&=Z \left [ h(n) \right ]=\cfrac{0.433z^{-1}}{1-0.5z^{-1}+0.25z^{-2}} + 0.5774\cfrac{1-025z^{-1}}{1-0.5z^{-1}+0.25z^{-2}}\\
- dsp_report9 . . . . 1 match
beta = 0.1102*(As-8.7)
- earthquakeWithAI . . . . 2 matches
'''Earthquakes and seismic station in the region of interest (near Guthrie, OK) from 14 February 2014 to 16 November 2016.''' GS.OK029 and GS. OK027 are the two stations that record continuously the ground motion velocity.The colored circles are the events in the training data set. Each event is labeled with its corresponding area. The thick black lines delimit the six areas. The black squares are the events in the test data set. Two events from the test set are highlighted because they do not belong to the same earthquake sequences and are nonrepeating events.
- fastapi_project . . . . 2 matches
start_date = "2024-12-04T18:11:50"
end_date = "2024-12-04T18:41:51"
- fpga_fast_fourier_transform . . . . 8 matches
#define N 1024// 1024 point
dft(xt,k);// 0~1024 DFT계산
#define ORDER 1024// 1024 point
w[i].real = cos(2*pi*i/1024);
w[i].imag = -sin(2*pi*i/1024);
for(i=0 ; i<1024;i++){
- fpga_fft_structure . . . . 104 matches
type rom_type1 is array ( 1023 downto 0) of std_logic_vector (63 downto 0);
X"3fe93a2249926402", X"3fe8dc45331698c8", X"3fe87c400fba2ebf", X"3fe81a1b33b57abe", X"3fe7b5df226aafae", X"3fe74f948da8d282", X"3fe6e74454eaa8aa", X"3fe67cf78491af04", X"3fe610b7551d2cdf",
X"3fe1734d63dedb3b", X"3fe0f426bb2a8e78", X"3fe073879922fff8", X"3fdfe2f64be71202", X"3fdedc1952ef78db", X"3fddd28f1481cc45", X"3fdcc66e9931c467", X"3fdbb7cf2304bcf0", X"3fdaa6c82b6d3fc8",
X"3fcf19f97b215ed7", X"3fcccf8cb312b28d", X"3fca82a025b0041a", X"3fc83366e89c64bf", X"3fc5e214448b3f78", X"3fc38edbb0cd8d06", X"3fc139f0cedaf595", X"3fbdc70ecbae9f93", X"3fb917a6bc29b467",
X"bfd9ef7943a8ed8c", X"bfdb020d6c7f4035", X"bfdc1249d8011eed", X"bfdd2016e8e9db83", X"bfde2b5d3806f642", X"bfdf3405963fd057", X"bfe01cfc874c3ec2", X"bfe09e907417c5dc", X"bfe11eb3541b4b2a",
X"bfe958efe48e6dd3", X"bfe9b3e047f3874a", X"bfea0c95eabaf931", X"bfea63091b02fae8", X"bfeab7325916c0d4", X"bfeb090a58150208", X"bfeb5889fe921409", X"bfeba5aa673590e0", X"bfebf064e15377de",
X"bfec38b2f180bdbb", X"bfec7e8e52233cf5", X"bfecc1f0f3fcfc5f", X"bfed02d4feb2bd98", X"bfed4134d14dc934", X"bfed7d0b02b8ed02", X"bfedb6526238a09e", X"bfeded05f7de47dc", X"bfee212104f686e7",
X"bfee31eae870ce21", X"bfedfeae622dbe2c", X"bfedc8d7cb410259", X"bfed906bcf328d41", X"bfed556f52e93eab", X"bfed17e7743e35d8", X"bfecd7d9898b32f6", X"bfec954b213411f3", X"bfec5042012b690a",
X"3fec5042012b690a", X"3fec954b213411fc", X"3fecd7d9898b32ff", X"3fed17e7743e35d8", X"3fed556f52e93eb4", X"3fed906bcf328d4a", X"3fedc8d7cb410262", X"3fedfeae622dbe2c", X"3fee31eae870ce2a",
X"3fee212104f686de", X"3feded05f7de47d3", X"3fedb6526238a09e", X"3fed7d0b02b8ecf9", X"3fed4134d14dc93d", X"3fed02d4feb2bd8f", X"3fecc1f0f3fcfc5f", X"3fec7e8e52233cf5", X"3fec38b2f180bdb2",
X"3febf064e15377de", X"3feba5aa673590ce", X"3feb5889fe921400", X"3feb090a581501ff", X"3feab7325916c0d4", X"3fea63091b02fadf", X"3fea0c95eabaf931", X"3fe9b3e047f38741", X"3fe958efe48e6dd3",
X"3fe11eb3541b4b2a", X"3fe09e907417c5e5", X"3fe01cfc874c3eb9", X"3fdf3405963fd069", X"3fde2b5d3806f630", X"3fdd2016e8e9db4d", X"3fdc1249d8011edb", X"3fdb020d6c7f3ffe", X"3fd9ef7943a8ed7a",
X"bfb917a6bc29b434", X"bfbdc70ecbae9fdb", X"bfc139f0cedaf595", X"bfc38edbb0cd8d2a", X"bfc5e214448b3fe4", X"bfc83366e89c64e3", X"bfca82a025b00487", X"bfcccf8cb312b2b1", X"bfcf19f97b215efb",
X"bfdaa6c82b6d3fda", X"bfdbb7cf2304bd02", X"bfdcc66e9931c455", X"bfddd28f1481cc57", X"bfdedc1952ef78db", X"bfdfe2f64be71214", X"bfe073879922ffef", X"bfe0f426bb2a8e81", X"bfe1734d63dedb4d",
X"bfe0f426bb2a8e81", X"bfe073879922ffe6", X"bfdfe2f64be71202", X"bfdedc1952ef78c9", X"bfddd28f1481cc45", X"bfdcc66e9931c455", X"bfdbb7cf2304bcf0", X"bfdaa6c82b6d3fda", X"bfd993716141be05",
X"bfcccf8cb312b28d", X"bfca82a025b00462", X"bfc83366e89c64bf", X"bfc5e214448b3fc0", X"bfc38edbb0cd8d06", X"bfc139f0cedaf571", X"bfbdc70ecbae9f93", X"bfb917a6bc29b402", X"bfb466117927209d",
X"3fdb020d6c7f4011", X"3fdc1249d8011eed", X"3fdd2016e8e9db5f", X"3fde2b5d3806f642", X"3fdf3405963fd069", X"3fe01cfc874c3eb9", X"3fe09e907417c5e5", X"3fe11eb3541b4b21", X"3fe19d5a09f2b9b9",
X"3fe9b3e047f38741", X"3fea0c95eabaf931", X"3fea63091b02fadf", X"3feab7325916c0d4", X"3feb090a581501ff", X"3feb5889fe921409", X"3feba5aa673590d7", X"3febf064e15377de", X"3fec38b2f180bdb2",
X"3fec7e8e52233cf5", X"3fecc1f0f3fcfc5f", X"3fed02d4feb2bd98", X"3fed4134d14dc93d", X"3fed7d0b02b8ecf9", X"3fedb6526238a09e", X"3feded05f7de47dc", X"3fee212104f686e7", X"3fee529f04729ffa",
X"3fedfeae622dbe2c", X"3fedc8d7cb410262", X"3fed906bcf328d4a", X"3fed556f52e93eb4", X"3fed17e7743e35d8", X"3fecd7d9898b32f6", X"3fec954b213411f3", X"3fec5042012b690a", X"3fec08c42672554e",
- fpga_memory_core_gen . . . . 3 matches
[[clip(img02)]]
// Create Date: 16:12:36 02/07/2012
// Create Date: 16:38:05 02/07/2012
- fpga_tutorial . . . . 5 matches
reg mem1bit [0:1023]; //1 bit 워드를 갖는1024개의 메모리
reg [7:0] membyte[0:1023]; //8 bit 워드를 갖는 1024개의 메모리
// Create Date: 14:02:29 11/01/2011
- google_tersorflow_start . . . . 1 match
1. https://gist.github.com/haje01/202ac276bace4b25dd3f
- grad_cam . . . . 4 matches
* 수정된날자: 2020년 2월 13일
* (2020-02-13) Grad-CAM++ 논문에 대한 내용 추가
초기 인공신경망 및 딥러닝에서는 네트워크 모델을 블랙박스로 표현하며 해석불가능한 것으로 치부했다. 이때문에 Deterministic한 해석을 하는 사람들로 부터 공격을 받았다. 하지만 더 이상 네트워크 모델은 블랙박스가 아니다. 딥러닝의 역사가 길지 않은 것을 감안하면 비교적 오래 전부터 네트워크 모델과 그 모델의 결과 도출 과정을 설명하려는 연구(Zeiler, Fergus et al., 2013)[* M. D. Zeiler and R. Fergus, “''Visualizing and understanding convolutional networks''”, in European conference on computer vision. '''Springer''', 2014 <https://arxiv.org/abs/1311.2901>][* http://cs231n.github.io/convolutional-networks/]는 꾸준히 있어왔다. 여러 가지 시도중 CNN기반으로 Multi-Class Classification의 Prediction의 원인(근거)을 해석하는 방법으로 '''GAP(Global Average Pooling)'''[* ''Min Lin, Qiang Chen, Shuicheng Yan.'' '''"Network In Network"'''. 4 Mar 2014. <https://arxiv.org/pdf/1312.4400.pdf>]를 도입해서 Prediction에 기여를 한 feature map을 계산하는 연구인 CAM(Class Activation Mapping)[* ''Bolei Zhou et al.'' '''"Learning Deep Features for Discriminative Localization"'''. CVPR (2016) <http://cnnlocalization.csail.mit.edu/Zhou_Learning_Deep_Features_CVPR_2016_paper.pdf>]과 이로부터 파생되어 GAP구조를 제거하고 일반화한 '''Grad-CAM'''[* ''Ramprasaath R. Selvaraju ea al.'' '''"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"''', (ICCV), 2017, pp. 618-626 <http://openaccess.thecvf.com/content_ICCV_2017/papers/Selvaraju_Grad-CAM_Visual_Explanations_ICCV_2017_paper.pdf>][* <https://arxiv.org/pdf/1610.02391.pdf>]과 이를 더욱 발전시킨 '''Grad-CAM++'''[* ''Aditya Chattopadhyay'', ''Anirban Sarkar'', "'''Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks'''", <https://arxiv.org/pdf/1710.11063.pdf>]에 대해서 알아보고자 한다.
- gstreamer . . . . 1 match
akvcam [* https://gist.github.com/okapies/550e541535d299717536f103802520a6]
- hdf5 . . . . 2 matches
temperature15 = np.random.random(1024)
temperature20 = np.random.random(1024)
- history_computer . . . . 2 matches
attachment:img02.png
attachment:computer02.png
- hub_gardening . . . . 1 match
처음 화분에 씨를 뿌린 날 [[DueDate(20121029)]]
- iir_filter . . . . 3 matches
attachment:img02.png
4.2011702354E+00, -8.1432691579E+00, 9.0996078585E+00,
4.2011702354E+00, -8.1432691579E+00, 9.0996078585E+00,
- index_2010 . . . . 3 matches
[http://snoopybox.co.kr/1402 UBS 부팅 디스크 만들기]
[http://blog.naver.com/jing0228/ 공부하는 아이]
http://blog.naver.com/PostView.nhn?blogId=devil3366&logNo=10025798246
- index_2023 . . . . 2 matches
|| [:index_2012 2012] || [:index_2016 2016] || [:index_2019 2019] || [:index_2023 2023] ||[:arduino_list 아두이노 관련] ||
- index_2025 . . . . 4 matches
|| [:index_2012 2012] || [:index_2016 2016] || [:index_2019 2019] || [:index_2023 2023] || [:index_2023 2023] || [:arduino_list 아두이노 관련] ||
- ipnc_mtd_partition . . . . 1 match
// ys10002 start
- isb_olaf_server . . . . 1 match
Port 4022
- jeju_travel . . . . 4 matches
[https://www.google.co.kr/maps/place/%EA%B5%AD%EC%88%98%EB%A7%88%EC%94%B8/@33.5109002,126.5180953,16.75z/data=!4m5!3m4!1s0x350ce4aacfcadea5:0x38a7027141c0d8a!8m2!3d33.5109541!4d126.520889?hl=ko 국수마씸]
[https://www.google.co.kr/maps/place/%EC%A0%9C%EC%A3%BC%EC%8A%AC%EB%A1%9C%EB%B9%84/@33.4817714,126.1612167,10.5z/data=!4m5!3m4!1s0x350cf44d0329f12f:0x69c127a9156d80d3!8m2!3d33.4640186!4d126.3202305?hl=ko 제주 슬로비]
[http://noljagyu.kr/12025 동문 시장]
- jobTemplate . . . . 15 matches
[:work2025_list 2025년]
[:work2025_01_list 1월] [:work2025_02_list 2월] [:work2025_03_list 3월] [:work2025_04_list 4월] [:work2025_05_list 5월] [:work2025_06_list 6월] [:work2025_07_list 7월] [:work2025_08_list 8월] [:work2025_09_list 9월] [:work2025_10_list 10월] [:work2025_11_list 11월] [:work2025_012_list 12월]
- jupyter_notebook . . . . 1 match
c.NotebookApp.password = 'sha1:f0bf7a023f60:25920410f68d70c03175e3fec4619c497b84193'
- kolmogorv_arnold_network . . . . 3 matches
attachment:kan_table.png?width=750px&align=center&title=''MLP와 KAN을 비교한 도표(Liu et al., 2024)''
x_{2,1} = \sum_{q=1}^{5} \Phi_q \left( \phi_{q,1}(x_{0,1}) + \phi_{q,2}(x_{021})\right) \tag{1}
attachment:kan_graph.png?width=750px&align=center&title=''Computation graph of \(n =2\) KAN (Liu et al., 2024)''
- kubernetes . . . . 2 matches
https://kubetm.github.io/k8s/02-beginner/cluster-install-case6/
https://daddyprogrammer.org/post/14102/argocd-kubernetes-cluster-deploy/
- layer_wise_relevance_propatation . . . . 1 match
|| Name. || Formula || Usage || DTD(Deep Taylor Decomposition)[* ''Montavon, G., Lapuschkin, S., Binder, A., Samek, W., Mu ̈ller, K.R.''. '''Explaining nonlinear classification decisions with deep Taylor decomposition. Pattern Recognition''',https://arxiv.org/abs/1512.02479] ||
- linux_init_setup . . . . 13 matches
STATD_OUTGOING_PORT=2020
100024 1 udp 662 status
100024 1 tcp 662 status
100227 2 tcp 2049 nfs_acl
100227 3 tcp 2049 nfs_acl
100227 2 udp 2049 nfs_acl
100227 3 udp 2049 nfs_acl
100021 1 udp 32769 nlockmgr
100021 3 udp 32769 nlockmgr
100021 4 udp 32769 nlockmgr
100021 1 tcp 32803 nlockmgr
100021 3 tcp 32803 nlockmgr
100021 4 tcp 32803 nlockmgr
- linux_smbfs_mount . . . . 1 match
$ sudo mount -t smbfs -o rw,username=wskim,password=kims1028,iocharset=utf8 //143.248.156.90/share /home/wskim/windows/
- linux_system_guid . . . . 1 match
시스템 관리자를 위한 리눅스 바이블[[footnote(시스템 관리자를 위한 리눅스 Bible 2002, 강기봉 저, JOYBOOK 출판)]]을 스터디 하면서 나름 적용해 보고 2013년에 맞게 재구성한 내용을 적어보려고 한다.
- linux_ulimit_command . . . . 4 matches
open files (-n) 1024
open files (-n) 1024
open files (-n) 1024 -> 한 프로세스에서 열 수 있는 open file descriptor의 최대 숫자(열수 있는 최대 파일 수)
oracle soft nofile 1023
- math_complex_analsys . . . . 1 match
attachment:img02.png?width=400px&align=center
- metamaterial . . . . 2 matches
또한, 129억 달러의 시장을 지니고 있는 초음파 진단 시장, 20억 달러의 시장을 지니고 있는 방진 소재 시장, 360억 달러의 무선통신 및 전자소자 시장, 390억 달러의 조명 및 태양전지 시장, 154억 달러의 의료용 이미징 시장 등에서 극한물성 시스템을 이용한 지속적 시장 성장과 신제품의 창출이 가능할 것으로 전망되며, 2022년에는 1,554억 달러 규모의 연관 시장이 형성될 것으로 전망되고있다. (출처: Energy Harvesting and Storage for Electronic Devices (IDTechEx, 2009), Metamaterials: Technologies and Global Markets (BCC Research, 2012), Ultrasonics: Global markets and technology (BCC Research, 2008))
미국 시장소자업체 BCC리서치에 따르면 세계 메타물질 시장규모는 2020년 10억 달러에 달할 것으로 전망했다.
- mmpc2012work . . . . 1 match
143.248.156.78:2202
- neural_additive_models . . . . 3 matches
NIPS2021에 발표된 '''Neural Additive Models: Interpretable Machine Learning with Neural Nets'''[* https://papers.nips.cc/paper/2021/file/251bd0442dfcc53b5a761e050f8022b8-Paper.pdf]를 읽고 내용을 정리해본다.
- nginx_php . . . . 1 match
memory_limit = 1024M
- nims_rule . . . . 2 matches
== 직제규정 (0201) ==
=== 여비규정 (0402) ===
- notebook_lenovo_e145 . . . . 1 match
Broadcom BCM943142HM[[footnote(http://www.broadcom.com/support/802.11/linux_sta.php)]]
- numerical_analysis_note . . . . 2 matches
(in thousans) || 151,326 || 179,323 || 203,302 || 226, 542 || 249,633 || 281,422 ||
위 결과는 10년 주기의 인구조사 결과이다. 이 결과에서 1975년도의 인구수와 또는 2020년의 인구를 예측할 수 있을까?
- odroid_index . . . . 2 matches
이미지를 받으면 xz로 압축되어 있는데 ''unxz ubuntu-18.04.1-3.10-minimal-odroid-c1-20180802.img.xz''와 같이 압축을 풀어 줍니다. 압축이 풀리면 '''.img''' 파일이 생성됨.
$ sudo dd if=ubuntu-18.04.1-3.10-minimal-odroid-c1-20180802.img of=/dev/.... bs=1M conv=fsync
- p_value . . . . 1 match
미국 통계학회(ASA)는 {통계적 유의성과 P값에 대한 성명서}를 통해, "확실성을 추구하다가 발을 헛딛는 우(愚)를 범하지 말라"고 권고 했다.[* http://www.ibric.org/myboard/read.php?Board=news&id=270293]
- paper_review_index . . . . 3 matches
[https://arxiv.org/pdf/1608.08021v3.pdf PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection]
[http://arxiv.org/pdf/1506.02142v5.pdf Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning]
[https://arxiv.org/pdf/1702.04782.pdf PRECISE RECOVERY OF LATENT VECTORS FROM GENERATIVE ADVERSARIAL NETWORKS]
- program_language_c . . . . 1 match
attachment:img02.png
- programming_f_function . . . . 1 match
buff_size = 1024;
- programming_openmp . . . . 4 matches
너무 간단한 소스라서 코드 설명은 필요 없을 것이다. 결과에서 중요한 것은 “200203”이라는 수이다. _OPENMP 매크로의 릴리즈 값은 YYYYMM형식의 수로 나타납니다. 그래서 값과 버전을 값이 볼 필요가 있습니다. 아래 표를 버전과 릴리즈 값 비교표입니다.
|| 2 ||C/C++ ||200203 ||
결과는 200203, 200805 으로 나오는데 200203은 2.0이고 200805는 3.0을 말한다.
- programming_popen_fuction . . . . 1 match
#define BUFF_SIZE 1024
- public_problem . . . . 11 matches
홈페이지 : www.jointree.co.kr/ [http://www.k-safetyexpo2020.com/lib/download.php?file_name=jointree_company.pdf&save_file=com_intro_file_202008311234330.pdf&file_path=/upload/company/ 회사소개서]
주소 : 경기 하남시 하남대로 947 C-1202
홈페이지 : www.sundori.net [http://www.k-safetyexpo2020.com/lib/download.php?file_name=2002%20%EB%A6%AC%ED%94%8C%EB%A0%9B_%EB%89%B4.zip&save_file=com_intro_file_202009031751230.zip&file_path=/upload/company/ 회사소개서]
2019년 개발 완료, 2020년 출시된 유선드론, “T-Dori”는 2020년 가장 주목받는 제품으로 유선을 이용하여 전력을 공급받아, 24시간 비행한다. 촬영, 감시, 인명구조, 서치라이트 드론 등에 활용되고 있다. GCS(Ground Control Station) 탑재, 통제차량은 드론의 관제 및 안전제어 등 다양한 외부환경에서 드론을 효율적으로 통제하고, 실시간 영상수신 및 분석을 통하여 드론을 활용한 공공서비스 분야에서 효율적인 미션 수행을 지원한다.
홈페이지 : www.onpoom.co.kr [http://www.k-safetyexpo2020.com/lib/download.php?file_name=%EC%9D%B8%EB%B9%8C%EB%94%A9%20%ED%86%B5%ED%95%A9%20%EC%95%88%EC%A0%84%20%EA%B4%80%EB%A6%AC%20%ED%94%8C%EB%9E%AB%ED%8F%BC.pdf&save_file=catalog_file_202009221029130.pdf&file_path=/upload/company/ 회사소개서]
- python_chat_program . . . . 1 match
이 과정에서 복수 개의 테이블을 연결하고 연결된 테이블에서 조건을 설정해서 원하는 결과를 얻어 왔습니다. 이 과정에서 JOIN[* 수까락. (20 Jun 2014). "INNER JOIN" <http://egloos.zum.com/sweeper/v/3002133>. (21 Nov 2017)]이라는 명령어를 사용했습니다.
- python_module_pyaudio . . . . 28 matches
UMask=0022
Active: active (running) since Thu 2023-03-02 12:58:53 UTC; 1 year 9 months ago
Dec 02 02:42:52 audio python[1573]: Stream #0:0 -> #0:0 (pcm_s16le (native) -> mp3 (libmp3lame))
Dec 02 02:42:52 audio python[1573]: Press [q] to stop, [?] for help
Dec 02 02:42:52 audio python[1573]: Output #0, mp3, to '/mnt/auxchannel//2024/12/02/2024-12-02T024151.mp3':
Dec 02 02:42:52 audio python[1573]: Metadata:
Dec 02 02:42:52 audio python[1573]: TSSE : Lavf59.27.100
Dec 02 02:42:52 audio python[1573]: Stream #0:0: Audio: mp3, 48000 Hz, mono, s16p, 32 kb/s
Dec 02 02:42:52 audio python[1573]: Metadata:
Dec 02 02:42:52 audio python[1573]: encoder : Lavc59.37.100 libmp3lame
Dec 02 02:42:53 audio python[1573]: [196B blob data]
Dec 02 02:42:53 audio python[1573]: video:0kB audio:234kB subtitle:0kB other streams:0kB global headers:0k>
- pytorch_multiGPU . . . . 1 match
Pytorch를 활용해서 Multi GPU 환경에서 GPU를 100% 활용하기 위한 방법에 대한 자세한 시도[* 당근마켓 팀블러그, Mattew, (mar 28, 2019) <https://medium.com/daangn/pytorch-multi-gpu-%ED%95%99%EC%8A%B5-%EC%A0%9C%EB%8C%80%EB%A1%9C-%ED%95%98%EA%B8%B0-27270617936b>]가 있어서 2020년 2월 18일 기준 PyTorch version 1.4.0에서 어떻게 동작하는지 알아보자.
- pytorch_with_tensorboard . . . . 1 match
웹서버로 동작하는 tensorboard는 현 시점 기준 [[date(20200701)]] 최신 tensorflow(tensorflow-gpu-2.2.0)를 설치하는 것으로 사용 가능함.
- qt_programming_index . . . . 1 match
파일이 수정되는 것을 확인하고 처리하는 것을 SIGNAL, SLOT으로 처리했다.[* https://jdh5202.tistory.com/298]
- raspberry_Grafana . . . . 1 match
TCP/IP 프로토콜 위에서 동작하며, 사물인터넷(임베디드)을 사용하기 위해 개발된 프로토콜 이다. TCP 기반의 프로토콜로서 낮은 전력 낮은 대역폭 낮은 성능의 환경에서도 사용이 가능하다.[* https://gymcoding.github.io/2020/09/22/mqtt-eclipse-mosquitto/]
- raspberry_Yemigo . . . . 6 matches
OS Image: Ubuntu server 22.10(64bit), 2023/02/28
172.24.10.102 GPS를 기반으로 하는 ntp서버에 연결하는 설정을 하도록 하겠다.
server 172.24.10.102
172.24.10.102 .INIT. 16 u - 64 0 0.0000 0.0000 0.0002
- raspberry_pi_cluster . . . . 2 matches
node02: 192.168.0.102
- raspberry_pi_dht22 . . . . 5 matches
server 172.24.10.102
#define REACTION_VOLTGAE (0.020) //이산화 탄소가 1000ppm일때의 전압값(수정 X)
float CO2Curve[3] = {2.602,ZERO_POINT_VOLTAGE,(REACTION_VOLTGAE/(2.602-3))};
v = (v/READ_SAMPLE_TIMES) *5/1024 ;
- raspberry_pi_ntp_server . . . . 6 matches
gps 모듈은 uBlox NEO-M8로 알리[* https://ko.aliexpress.com/item/32955687002.html?spm=a2g0o.order_list.0.0.5699140fofR5Yk&gatewayAdapt=glo2kor]에서 구매하였다.
현재(2022-12-02)기준 설치된 운영체제는 raspberrpi 5.15.67이다.
Linux raspberrypi 5.15.76-v8+ #1597 SMP PREEMPT Fri Nov 4 12:16:41 GMT 2022 aarch64 GNU/Linux
https://austinsnerdythings.com/2021/04/19/microsecond-accurate-ntp-with-a-raspberry-pi-and-pps-gps/
https://tttsss77.tistory.com/102
- raspberry_pi_pyAudio . . . . 1 match
https://m.blog.naver.com/simjk98/221951002266
- raspberry_sensor_installation . . . . 1 match
server 172.24.10.102
- raspberry_video_audio . . . . 2 matches
AUDIO_CHUNK = 1024
AUDIO_CHUNK = 1024
- raspberrypi4 . . . . 8 matches
부분을 아래와 같이 수정하면 된다. [* https://www.seeedstudio.com/blog/2020/02/12/how-to-safely-overclock-your-raspberry-pi-4-to-2-147ghz/]
https://blog.itcode.dev/posts/2021/09/14/ubuntu-in-mariadb.html
https://jow1025.tistory.com/278
[* https://cloudolife.com/2021/01/01/Raspberry-Pi/Resizing-or-disable-Swap-Size/]
https://www.lesstif.com/lpt/ubuntu-netplan-ip-static-ip-config-61899302.html
https://www.seeedstudio.com/blog/2021/06/11/how-to-build-a-raspberry-pi-router-step-by-step-tutorial/
https://www.procustodibus.com/blog/2021/03/wireguard-allowedips-calculator/
- rsync_cron_data_backup . . . . 1 match
COMMAND="sshpass -pkims1028! ssh -p 4280 -R 4422:localhost:22 wskim@ldg-ui.sdfarm.kr"
- sgg_review . . . . 1 match
2013년에 '''Jan Harms'''에 의해서 LIGO 관측기에서 관측할 수 있는 낮은 주파수에 대한 중력파 연구 논문[* ''Jan Harms et al'', '''Low-frequency terrestrial gravitational-wave detectors''', PHYSICAL REVIEW D 88, 122003 (2013),http://www.astro.umd.edu/~miller/reprints/harms13.pdf ]이 발표 되었고 이를 새로운 관측 플렛폼으로 조금 더 잘 관측할 수 있는 방법을 '''백호정''' 교수님께서 연구하셨고 그에 대한 논문[* ''Ho Jung Paik et al'', '''Low-frequency terrestrial tensor gravitational-wave detector''', Class. Quantum Grav. 33 075003 (2016), http://iopscience.iop.org/article/10.1088/0264-9381/33/7/075003/pdf]이 2016년에 발표 되었다.
- singularity . . . . 1 match
* Singularity 설치[* https://engineer-mole.tistory.com/198][* https://whansunkim.ml/wiki.php/work2020_01_list?action=highlight&value=singularity#toc]
- software_raid_mdadm . . . . 1 match
레이드를 구성하게 되면 이 역시 하나의 장치가 된다. /dev 폴더 아래 md0와 같은 장치를 하나 생성한다. [* 아무도 없는 세계. <https://dinggur.tistory.com/33>. (02 Dec 2011).]
- stock_budget . . . . 4 matches
2021년
2021년
2/5 일진머티리얼즈(A020150) 59,194원 (69 주) -> 76,300원 (전량 매도) :{{{{color: rgb(255, 1, 1); font-size: 16px; font-weight: bold;} +1,166,802원 }}}
- stock_study . . . . 12 matches
* SKC 27% 최대주주였다가 2020년 6월 매각해서 현 최대주주는 ㈜현대HCN ??
2020년 목표가 시총 5조
CNT(탄소나노튜브) 도전재 생산, CNT 도전재 시장이 매년 216% 성장해 2025년 2조 2000억 규모 시장 형성 예상
''2020.07.08, 박기태'', '''CNT도전재 시장, 2025년 2.2조로 성장 나노신소재, 수혜''' [* http://www.pressm.kr/news/articleView.html?idxno=31201]
''2020.06.19, 노성인'', '''카타르 LNG 100척 발주, 너무 이른 축포?'''[* http://www.econovill.com/news/articleView.html?idxno=401617]
''2020.06.11, 최인수'', '''한국카본, LNG TANK 시장 진입노린다.'''[* http://www.energy-news.co.kr/news/articleView.html?idxno=70943]
2026년까지 스마트펙토리[* 정부 지원 사업으로 공장 자동화를 넘어서는 신계념으로 제조 공장 설비 첨단화 지원에 콤프레샤를 들어갈 것으로 전망] 정부 지원,
전환사채(18억 규모, 발행가액 1,537원, 1,171,112주), 2020년 8월 5일 상장
1. VM202-DPN(당뇨병성신경병증) 3-2상
1. VM202-ALS(당뇨병성신경병증) 3-2상
= IMO2025 규제 =
- svn_sunken . . . . 1 match
setenv bootargs root=/dev/nfs rw nfsroot=192.168.0.77:/opt/RootFS-aESOP6410,'''nolock,tcp,rwize=4096,wsize=4096''' ip=192.168.0.102:192.168.0.77:192.168.0.1:255.255.255.0::eth0:off console=ttySAC0,115200n81 ethaddr=00:40:5c:26:0a:5c
- synergy_installation . . . . 1 match
hwansun.kim@gmail.com // kims1028
- temp . . . . 1 match
Drafted 26 August 2002
- test . . . . 1 match
LCD페널 : M201EW02
- upsampling_sinc . . . . 9 matches
||2) Fourier 역 변환 ||attachment:img02.png ||
#define WAVE_FORMAT_MS_ADPCM 0X0002;
fread(input_frame+1024,sizeof(short),1024,fin);
fread(input_frame+1024*2,sizeof(short),1024,fin);
memmove(input_frame,input_frame+1024,sizeof(short)*2048);
memset(input_frame+1024*2,0, sizeof(short)*1024);
- vi_for_gravitational_wave_parameter_estimation . . . . 4 matches
* DanielGeorge, E.A.Huert, '''Deep Learning for real-time gravitational wave detection and parameter estimation: Results with Advanced LIGO data''', https://www.sciencedirect.com/science/article/pii/S0370269317310390
* Andrea Maselli et al., '''Parameter estimation of gravitational wave echoes from exotic compact objects''', https://arxiv.org/abs/1708.02217
* Bence Bécsy et al., '''Parameter estimation for gravitational-wave bursts with the BayesWave pipeline''', https://arxiv.org/abs/1612.02003
* Eric Thrane, Colm Talbot, '''An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models''', https://arxiv.org/abs/1809.02293
- wave_file_header_format . . . . 1 match
#define WAVE_FORMAT_MS_ADPCM 0X0002;
- wikibackup . . . . 1 match
Expires on 2028-06-18
- work2012_list . . . . 3 matches
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
- work2013_10_list . . . . 5 matches
52: 000002a0 0 FUNC GLOBAL DEFAULT 9 _init
Addr: 000000000000023a Offset: 0x00023a Link: 3 (.dynsym)
Addr: 0x0000000000000250 Offset: 0x000250 Link: 4 (.dynstr)
- work2013_12_list . . . . 1 match
= 12월 02일 =
- work2013_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_012_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_01_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_03_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_04_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_06_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_07_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_08_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_11_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2014_list . . . . 1 match
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
- work2015_01_list . . . . 1 match
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
- work2015_02_list . . . . 1 match
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
- work2015_03_list . . . . 1 match
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
- work2015_08_list . . . . 1 match
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
- work2015_10_list . . . . 1 match
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
- work2015_11_list . . . . 1 match
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_12_list 12월]
- work2015_12_list . . . . 2 matches
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_12_list 12월]
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2015_list . . . . 2 matches
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
- work2016_012_list . . . . 4 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* --김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰-- 서울대 학생들이 함.
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_01_list . . . . 2 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_02_list . . . . 5 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* 김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
* [kgwg_160215 용평 리조트 워크숍]
- work2016_03_list . . . . 5 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* 김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
* --[kgwg_160215 용평 리조트 워크숍]--
- work2016_04_list . . . . 4 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* 김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_05_list . . . . 4 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* 김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_06_list . . . . 4 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* 김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_07_list . . . . 4 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* 김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_08_list . . . . 4 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* --김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰-- 서울대 학생들이 함.
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_09_list . . . . 4 matches
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
* --김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰-- 서울대 학생들이 함.
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2016_list . . . . 62 matches
[:work2014_01_list 1월] [:work2014_02_list 2월] [:work2014_03_list 3월] [:work2014_04_list 4월] [:work2014_05_list 5월] [:work2014_06_list 6월] [:work2014_07_list 7월] [:work2014_08_list 8월] [:work2014_09_list 9월] [:work2014_10_list 10월] [:work2014_11_list 11월] [:work2014_012_list 12월]
[:work2015_01_list 1월] [:work2015_02_list 2월] [:work2015_03_list 3월] [:work2015_04_list 4월] [:work2015_05_list 5월] [:work2015_06_list 6월] [:work2015_07_list 7월] [:work2015_08_list 8월] [:work2015_09_list 9월] [:work2015_10_list 10월] [:work2015_11_list 11월] [:work2015_012_list 12월]
[:work2016_01_list 1월] [:work2016_02_list 2월] [:work2016_03_list 3월] [:work2016_04_list 4월] [:work2016_05_list 5월] [:work2016_06_list 6월] [:work2016_07_list 7월] [:work2016_08_list 8월] [:work2016_09_list 9월] [:work2016_10_list 10월] [:work2016_11_list 11월] [:work2016_012_list 12월]
[:work2017_01_list 1월] [:work2017_02_list 2월] [:work2017_03_list 3월] [:work2017_04_list 4월] [:work2017_05_list 5월] [:work2016_07_list 6월] [:work2017_07_list 7월] [:work2017_08_list 8월] [:work2017_09_list 9월] [:work2017_10_list 10월] [:work2017_11_list 11월] [:work2017_12_list 12월]
[:work2018_01_list 1월] [:work2018_02_list 2월] [:work2018_03_list 3월] [:work2018_04_list 4월] [:work2018_05_list 5월] [:work2018_07_list 6월] [:work2018_07_list 7월] [:work2018_08_list 8월] [:work2018_09_list 9월] [:work2018_10_list 10월] [:work2018_11_list 11월] [:work2018_12_list 12월]
[:work2019_01_list 1월] [:work2019_02_list 2월] [:work2019_03_list 3월] [:work2019_04_list 4월] [:work2019_05_list 5월] [:work2019_07_list 6월] [:work2019_07_list 7월] [:work2019_08_list 8월] [:work2019_09_list 9월] [:work2019_10_list 10월] [:work2019_11_list 11월] [:work2019_12_list 12월]
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
[:work2016_list 2021년]
[:work2021_01_list 1월] [:work2021_02_list 2월] [:work2021_03_list 3월] [:work2021_04_list 4월] [:work2021_05_list 5월] [:work2021_06_list 6월] [:work2021_07_list 7월] [:work2021_08_list 8월] [:work2021_09_list 9월] [:work2021_10_list 10월] [:work2021_11_list 11월] [:work2021_12_list 12월]
[:work2016_list 2023년]
[:work2023_01_list 1월] [:work2023_02_list 2월] [:work2023_03_list 3월] [:work2023_04_list 4월] [:work2023_05_list 5월] [:work2023_06_list 6월] [:work2023_07_list 7월] [:work2023_08_list 8월] [:work2023_09_list 9월] [:work2023_10_list 10월] [:work2023_11_list 11월] [:work2023_12_list 12월]
[:work2016_list 2025년]
[:work2025_01_list 1월] [:work2025_02_list 2월] [:work2025_03_list 3월] [:work2025_04_list 4월] [:work2025_05_list 5월] [:work2025_06_list 6월] [:work2025_07_list 7월] [:work2025_08_list 8월] [:work2025_09_list 9월] [:work2025_10_list 10월] [:work2025_11_list 11월] [:work2025_12_list 12월]
- work2017_01_list . . . . 1 match
[:work2017_01_list 1월] [:work2017_02_list 2월] [:work2017_03_list 3월] [:work2017_04_list 4월] [:work2017_05_list 5월] [:work2016_07_list 6월] [:work2017_07_list 7월] [:work2017_08_list 8월] [:work2017_09_list 9월] [:work2017_10_list 10월] [:work2017_11_list 11월] [:work2017_12_list 12월]
- work2017_02_list . . . . 4 matches
[:work2017_01_list 1월] [:work2017_02_list 2월] [:work2017_03_list 3월] [:work2017_04_list 4월] [:work2017_05_list 5월] [:work2016_07_list 6월] [:work2017_07_list 7월] [:work2017_08_list 8월] [:work2017_09_list 9월] [:work2017_10_list 10월] [:work2017_11_list 11월] [:work2017_12_list 12월]
* --김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰-- 서울대 학생들이 함.
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2017_03_list . . . . 7 matches
[:work2017_01_list 1월] [:work2017_02_list 2월] [:work2017_03_list 3월] [:work2017_04_list 4월] [:work2017_05_list 5월] [:work2016_07_list 6월] [:work2017_07_list 7월] [:work2017_08_list 8월] [:work2017_09_list 9월] [:work2017_10_list 10월] [:work2017_11_list 11월] [:work2017_12_list 12월]
* [attachment:work2017_02_list/dlc.pdf 딥러닝 backpropagation] - 전남대학교 전자컴퓨터 공학부 김수형 교수
* [attachment:work2017_02_list/bayesian_dl.pdf 베이지안 딥러닝] - 서울대학교 통계학과 김용대 교수
* [attachment:work2017_02_list/implement_dl.pdf 딥러닝 알고리즘 구현하기] - 한동대학교 김인중 교수
* --김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰-- 서울대 학생들이 함.
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2018_02_list . . . . 7 matches
[:work2018_01_list 1월] [:work2018_02_list 2월] [:work2018_03_list 3월] [:work2018_04_list 4월] [:work2018_05_list 5월] [:work2018_07_list 6월] [:work2018_07_list 7월] [:work2018_08_list 8월] [:work2018_09_list 9월] [:work2018_10_list 10월] [:work2018_11_list 11월] [:work2018_12_list 12월]
* [attachment:work2017_02_list/dlc.pdf 딥러닝 backpropagation] - 전남대학교 전자컴퓨터 공학부 김수형 교수
* [attachment:work2017_02_list/bayesian_dl.pdf 베이지안 딥러닝] - 서울대학교 통계학과 김용대 교수
* [attachment:work2017_02_list/implement_dl.pdf 딥러닝 알고리즘 구현하기] - 한동대학교 김인중 교수
* --김경민 박사 [http://iopscience.iop.org/article/10.1088/0264-9381/32/24/245002 논문] 리뷰-- 서울대 학생들이 함.
- [https://gist.github.com/haje01/202ac276bace4b25dd3f 텐서플로 설치와 시작]
- work2019_12_list . . . . 1 match
[:work2019_01_list 1월] [:work2019_02_list 2월] [:work2019_03_list 3월] [:work2019_04_list 4월] [:work2019_05_list 5월] [:work2019_07_list 6월] [:work2019_07_list 7월] [:work2019_08_list 8월] [:work2019_09_list 9월] [:work2019_10_list 10월] [:work2019_11_list 11월] [:work2019_12_list 12월]
- work2020_01_list . . . . 16 matches
#title 2020년 1월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
mpi환경도 구축 가능[* https://epcced.github.io/2020-12-08-Containers-Online/12-singularity-mpi/index.html]
- work2020_02_list . . . . 16 matches
#title 2020년 2월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
* [attachment:work2020_01_list/rainbow.pdf Rainbow presentation]
- work2020_03_list . . . . 16 matches
#title 2020년 3월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_07_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
* [attachment:work2020_01_list/rainbow.pdf Rainbow presentation]
- work2020_04_list . . . . 15 matches
#title 2020년 4월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
- work2020_05_list . . . . 15 matches
#title 2020년 5월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
- work2020_06_list . . . . 15 matches
#title 2020년 6월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
- work2020_07_list . . . . 15 matches
#title 2020년 7월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
- work2020_08_list . . . . 21 matches
#title 2020년 8월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
|| 월 ||- SNU 2020 AI 여름학교 ||- SNU 2020 AI 여름학교 [[br]]- 안전점검의 날(14:00) ||
|| 화 ||- SNU 2020 AI 여름학교[[br]]- 근로자 대표 회의(10:00~11:40) ||- SNU 2020 AI 여름학교 [[br]]- 부서 신규 과제 회의 (14:30~) ||
|| 수 ||- SNU 2020 AI 여름학교 [[br]]- KGWG-Detchar telecon(10:00~11:30) ||- SNU 2020 AI 여름학교[[br]]- 노동조합 상집 회의 (15:00~16:00) ||
- work2020_09_list . . . . 16 matches
#title 2020년 9월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
|| 월 ||- 802.1x 90일 계정말료로 네트워크 복구 잡업[[br]]- 주간보고 자료 정리 ||- 3층 서버 저장장치 추가 설치 작업 ||
- work2020_10_list . . . . 16 matches
#title 2020년 10월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
* ''Alex Reinhart'', '''A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications''', Febrary 20th, 2018, [https://arxiv.org/pdf/1708.02647.pdf]
- work2020_11_list . . . . 16 matches
#title 2020년 11월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
* ''Alex Reinhart'', '''A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications''', Febrary 20th, 2018, [https://arxiv.org/pdf/1708.02647.pdf]
- work2021_01_list . . . . 15 matches
#title 2020년 11월달 업무일지
[:work2016_list 2020년]
[:work2020_01_list 1월] [:work2020_02_list 2월] [:work2020_03_list 3월] [:work2020_04_list 4월] [:work2020_05_list 5월] [:work2020_06_list 6월] [:work2020_07_list 7월] [:work2020_08_list 8월] [:work2020_09_list 9월] [:work2020_10_list 10월] [:work2020_11_list 11월] [:work2020_12_list 12월]
- work2021_07_list . . . . 17 matches
#title 2021년 7월달 업무일지
[:work2016_list 2021년]
[:work2021_01_list 1월] [:work2021_02_list 2월] [:work2021_03_list 3월] [:work2021_04_list 4월] [:work2021_05_list 5월] [:work2021_06_list 6월] [:work2021_07_list 7월] [:work2021_08_list 8월] [:work2021_09_list 9월] [:work2021_10_list 10월] [:work2021_11_list 11월] [:work2021_12_list 12월]
* https://nbviewer.jupyter.org/github/1202kbs/Understanding-NN/blob/master/2.3%20Layer-wise%20Relevance%20Propagation%20%282%29.ipynb
* https://github.com/1202kbs/Understanding-NN
- work2023_01_list . . . . 14 matches
[:work2023_list 2014년]
[:work2023_01_list 1월] [:work2023_02_list 2월] [:work2023_03_list 3월] [:work2023_04_list 4월] [:work2023_05_list 5월] [:work2023_06_list 6월] [:work2023_07_list 7월] [:work2023_08_list 8월] [:work2023_09_list 9월] [:work2023_10_list 10월] [:work2023_11_list 11월] [:work2023_012_list 12월]
- work2025_03_list . . . . 15 matches
[:work2025_list 2025년]
[:work2025_01_list 1월] [:work2025_02_list 2월] [:work2025_03_list 3월] [:work2025_04_list 4월] [:work2025_05_list 5월] [:work2025_06_list 6월] [:work2025_07_list 7월] [:work2025_08_list 8월] [:work2025_09_list 9월] [:work2025_10_list 10월] [:work2025_11_list 11월] [:work2025_012_list 12월]
- work_snmp_install . . . . 3 matches
vs OBJECT IDENTIFIER ::= { enterprises 8002 }
SNMPv2-MIB::sysDescr.0 = STRING: Linux 143.248.156.116 2.6.18_IPNC_C02_3.0.0.4 #1 PREEMPT Wed Dec 5 19:47:10 KST 2012 armv5tejl
SNMPv2-MIB::sysORUpTime.1 = Timeticks: (2) 0:00:00.02
- ws_discovery . . . . 2 matches
DISCOVERY_PORT: port 3702 [IANA]
• IPv6 multicast address: FF02::C (link-local scope)
- wskim . . . . 1 match
[[clip(ring02)]]
- wskim-쇼핑 . . . . 1 match
[[Clip(img02)]]
- wskim_banghee . . . . 2 matches
[[clip(food02)]]
연락처 : 042-274-4020
- wskim_banghee_daily . . . . 4 matches
* 진료예약 : 042-487-0302
= 2012-02-07 =
02-555-8996
= 2012-02-18 =
- wskim_house . . . . 4 matches
[[clip(house02)]]
[[clip(room02)]]
[[clip(livingroom02)]]
[[clip(f01)]][[clip(f02)]]
- wskim_lig_insurance . . . . 1 match
2st 보험 담당자 : 02) 6390-0591, 김기훈
- wskim_recipe_soy_sauce . . . . 2 matches
[[clip(img02)]]
http://blog.naver.com/5joung1/100118083025
- wskim_recipe_꼬리찜 . . . . 1 match
[[clip(img01)]] [[clip(img02)]]
- wskim_경력 . . . . 1 match
* '''RA 단계'''는 요구사항을 분석하는 단계로 IEEE 802.16e( WiMAC 표준) 표준을 분석하여 개발 scope를 결정하고 System Feature를 정의 하는 단계 입니다.
- wskim_업적 . . . . 24 matches
1. IEEE 802.16j 표준 기고 2007-03-05
[http://www.ieee802.org/16/relay/contrib/C80216j-07_101r3.pdf Dedicated Resource Assignment for RS IEEE C802.16j-07/101r3]
1. Nah-Oak Song; Whan-Sun Kim, 2007, “Dedicated Resource Assignment for RS”, IEEE C802.16j-07/101r3
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"A Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background"__, '''Phys.Rev.Lett.''' 120 (2018) no.20, 201102 [arXiv:1802.10194 [gr-qc] ]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"Full band all-sky search for periodic gravitational waves in the O1 LIGO data"__, '''Phys. Rev. D''' 97, 102003 (2018)[ arXiv:1802.05241 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"Constraints on cosmic strings using data from the first Advanced LIGO observing run"__, '''Phys. Rev. D''' 97, 102002 (2018)[ arXiv:1712.01168[gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGOs first observing run"__, '''Class.Quant.Grav'''. 35 (2018) no.6 [arXiv:1710.02185 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __“All-sky search for short gravitation-wave bursts in the first Advanced LIGO run”__, '''Phys. Rev. D''' 95, 042003 (2017)[arXiv:1611.02972 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __“Directional limits on persistent gravitational waves from Advanced LIGO’s first observing run”__, '''Phys. Rev. Lett.''' 118, 121102 (2017)[arXiv:1612.02030 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __“Effects of waveform model systematics on the interpretation of GW150914"__, '''Class.Quant.Grav'''. 34 (2017) no.10, 104002 [arXiv:1611.07531 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __“Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO’s First Observing Run"__, '''Phys.Rev.Lett.''' 118 (2017) no.12, 121101 [arXiv:1612.02029 [gr-qc] ]
1. ''A. Albert et al. ANTARES and IceCube and LIGO Scientific and Virgo Collaborations'', __"Search for High-energy Neutrinos from Gravitational Wave Event GW151226 and Candidate LVT151012 with ANTARES and IceCube"__, '''Phys.Rev. D96 (2017)''' no.2, 022005 [arXiv:1703.06298 [astro-ph.HE] ]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"Search for intermediate mass black hole binaries in the first observing run of Advanced LIGO"__, '''Phys.Rev. D96 (2017)''' no.2, 022001 [ arXiv:1704.04628 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"All-sky Search for Periodic Gravitational Waves in the O1 LIGO Data"__, '''Phys.Rev. D96 (2017) no.6, 062002''' [arXiv:1707.02667 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"First low-frequency Einstein@Home all-sky search for continuous gravitational waves in Advanced LIGO data"__, '''Phys.Rev. D96 (2017) no.12, 122004''' [arXiv:1707.02669 [gr-qc]]
1. ''B. P. Abbott et al. LIGO Scientific and Virgo Collaborations'', __"First narrow-band search for continuous gravitational waves from known pulsars in advanced detector data"__, '''Phys. Rev. D 96, 122006 (2017) no.12, 122004''' [arXiv:1710.02327 [gr-qc]]
- wskim_여행정보_출장_미국_시에틀_sc11 . . . . 1 match
[[clip(map02)]]
- wskim_연말정산 . . . . 1 match
500703-1029437
- yun . . . . 1 match
|| attachment:yun01.jpg?width=400px || attachment:yun02.jpg?width=400px ||
- 김환선 . . . . 6 matches
고형규 (1953-03-15) 1025221
* 광운 대학교 소프트웨어 공학 전공 (3.63 / 4.5) - 학번 : 97201028
* 정보처리기사 자격취득(04201021056G) - 2004년 6월 7일
2002년 4월 5일 ~ 2003년 1월 25일
* 광운 대학교 대학원 전파공학과 무선 네트워크 전공 ( 4.28 / 4.5) - 학번 : 2005111002
* Nah-Oak Song, Whan-Sun Kim, “Dedicated Resource Assignment for RS”, IEEE C802.16j-07/101r3, March 2007
- 동호회_만들 . . . . 5 matches
(2020년) 10명 - __현윤경__, __김환선__, 강석우, 강성호, 고태욱, 이완호, 이종걸, 장혜영, 전기완, 정한영
(2021년) 9명 - __현윤경__, __김환선__, 강성호, 고태욱, 이완호, 장혜영, 전기완, 정한영, 이순주
= 2020년 회계 =
3.02 이완호 지원 -62,000원
= 2021년 회계 =
- 임차권등기 . . . . 4 matches
2020년 1월 18일. 임대인에게 전화로 계약해지 통보
2020년 2월 19일. 계약일에 나가달라는 통보 받음.
2023년 5월 15일 집주인에게 퇴거 통보
2023년 5월 22일 집주인 부동산에 올렸다는 내용 전달 받음
- 20100217 . . . . 2 matches
== 2010/02/17 ==
== 2010/02/18 ==
- 20100221 . . . . 2 matches
== 2010/02/21 ==
[[Clip(img02)]]
- 20100222 . . . . 1 match
== 2010/02/22 ==
- 20100223 . . . . 2 matches
== 2010/02/23 ==
[[Clip(img02)]]
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