VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS14.98%
Net Worth
0.156USD
STEEM
0.000STEEM
SBD
0.309SBD
Effective Power
5.011SP
├── Own SP
0.126SP
└── Incoming DelegationsDeleg
+4.885SP
Detailed Balance
| STEEM | ||
| balance | 0.000STEEM | STEEM |
| market_balance | 0.000STEEM | STEEM |
| savings_balance | 0.000STEEM | STEEM |
| reward_steem_balance | 0.000STEEM | STEEM |
| STEEM POWER | ||
| Own SP | 0.126SP | SP |
| Delegated Out | 0.000SP | SP |
| Delegation In | 4.885SP | SP |
| Effective Power | 5.011SP | SP |
| Reward SP (pending) | 0.112SP | SP |
| SBD | ||
| sbd_balance | 0.000SBD | SBD |
| sbd_conversions | 0.000SBD | SBD |
| sbd_market_balance | 0.000SBD | SBD |
| savings_sbd_balance | 0.000SBD | SBD |
| reward_sbd_balance | 0.309SBD | SBD |
{
"balance": "0.000 STEEM",
"savings_balance": "0.000 STEEM",
"reward_steem_balance": "0.000 STEEM",
"vesting_shares": "204.286456 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "7939.373350 VESTS",
"sbd_balance": "0.000 SBD",
"savings_sbd_balance": "0.000 SBD",
"reward_sbd_balance": "0.309 SBD",
"conversions": []
}Account Info
| name | yijunyu |
| id | 787943 |
| rank | 532,785 |
| reputation | 2891257500 |
| created | 2018-03-02T15:24:33 |
| recovery_account | steem |
| proxy | None |
| post_count | 2 |
| comment_count | 0 |
| lifetime_vote_count | 0 |
| witnesses_voted_for | 0 |
| last_post | 2018-03-02T20:15:30 |
| last_root_post | 2018-03-02T20:15:30 |
| last_vote_time | 2018-03-13T16:09:45 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 0 |
| delayed_votes | 0 |
| balance | 0.000 STEEM |
| savings_balance | 0.000 STEEM |
| sbd_balance | 0.000 SBD |
| savings_sbd_balance | 0.000 SBD |
| vesting_shares | 204.286456 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 7939.373350 VESTS |
| reward_vesting_balance | 228.715348 VESTS |
| vesting_balance | 0.000 STEEM |
| vesting_withdraw_rate | 0.000000 VESTS |
| next_vesting_withdrawal | 1969-12-31T23:59:59 |
| withdrawn | 0 |
| to_withdraw | 0 |
| withdraw_routes | 0 |
| savings_withdraw_requests | 0 |
| last_account_recovery | 1970-01-01T00:00:00 |
| reset_account | null |
| last_owner_update | 1970-01-01T00:00:00 |
| last_account_update | 1970-01-01T00:00:00 |
| mined | No |
| sbd_seconds | 0 |
| sbd_last_interest_payment | 1970-01-01T00:00:00 |
| savings_sbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"active": {
"account_auths": [],
"key_auths": [
[
"STM6mjqvd41Lb2Ncni436hvpXkoUwV4K3uyaa4yEHaBsNgaBxfuTX",
1
]
],
"weight_threshold": 1
},
"balance": "0.000 STEEM",
"can_vote": true,
"comment_count": 0,
"created": "2018-03-02T15:24:33",
"curation_rewards": 0,
"delegated_vesting_shares": "0.000000 VESTS",
"downvote_manabar": {
"current_mana": 2035914951,
"last_update_time": 1779092877
},
"guest_bloggers": [],
"id": 787943,
"json_metadata": "{}",
"last_account_recovery": "1970-01-01T00:00:00",
"last_account_update": "1970-01-01T00:00:00",
"last_owner_update": "1970-01-01T00:00:00",
"last_post": "2018-03-02T20:15:30",
"last_root_post": "2018-03-02T20:15:30",
"last_vote_time": "2018-03-13T16:09:45",
"lifetime_vote_count": 0,
"market_history": [],
"memo_key": "STM5fZwv5ZYPx2d9dGT83JZRzsWkg3EEvrTtcAYVkHZYX97HJcxQT",
"mined": false,
"name": "yijunyu",
"next_vesting_withdrawal": "1969-12-31T23:59:59",
"other_history": [],
"owner": {
"account_auths": [],
"key_auths": [
[
"STM8mNbVgY7ghVKvMSXQ1ofpsVtX1hiRyodMcW2vDH7ja2iCbHHt2",
1
]
],
"weight_threshold": 1
},
"pending_claimed_accounts": 0,
"post_bandwidth": 0,
"post_count": 2,
"post_history": [],
"posting": {
"account_auths": [],
"key_auths": [
[
"STM7xoKxBxF2NC7GbNTmrHnQCkvhTp7kX566QYwyuWxgaGKCk5vup",
1
]
],
"weight_threshold": 1
},
"posting_json_metadata": "",
"posting_rewards": 223,
"proxied_vsf_votes": [
0,
0,
0,
0
],
"proxy": "",
"received_vesting_shares": "7939.373350 VESTS",
"recovery_account": "steem",
"reputation": 2891257500,
"reset_account": "null",
"reward_sbd_balance": "0.309 SBD",
"reward_steem_balance": "0.000 STEEM",
"reward_vesting_balance": "228.715348 VESTS",
"reward_vesting_steem": "0.112 STEEM",
"savings_balance": "0.000 STEEM",
"savings_sbd_balance": "0.000 SBD",
"savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
"savings_sbd_seconds": "0",
"savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
"savings_withdraw_requests": 0,
"sbd_balance": "0.000 SBD",
"sbd_last_interest_payment": "1970-01-01T00:00:00",
"sbd_seconds": "0",
"sbd_seconds_last_update": "1970-01-01T00:00:00",
"tags_usage": [],
"to_withdraw": 0,
"transfer_history": [],
"vesting_balance": "0.000 STEEM",
"vesting_shares": "204.286456 VESTS",
"vesting_withdraw_rate": "0.000000 VESTS",
"vote_history": [],
"voting_manabar": {
"current_mana": "8143659806",
"last_update_time": 1779092877
},
"voting_power": 0,
"withdraw_routes": 0,
"withdrawn": 0,
"witness_votes": [],
"witnesses_voted_for": 0,
"rank": 532785
}Withdraw Routes
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
2026/05/18 08:27:57
2026/05/18 08:27:57
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 7939.373350 VESTS |
| Transaction Info | Block #106153263/Trx efd4fa00b41f6d16324cf46fed318e7b3eb9fe64 |
View Raw JSON Data
{
"block": 106153263,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "7939.373350 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-18T08:27:57",
"trx_id": "efd4fa00b41f6d16324cf46fed318e7b3eb9fe64",
"trx_in_block": 0,
"virtual_op": 0
}2026/05/13 13:13:18
2026/05/13 13:13:18
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 5227.162945 VESTS |
| Transaction Info | Block #106015678/Trx 50cab4bdb83e6aa826f095fb255407cefabbd415 |
View Raw JSON Data
{
"block": 106015678,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "5227.162945 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-05-13T13:13:18",
"trx_id": "50cab4bdb83e6aa826f095fb255407cefabbd415",
"trx_in_block": 1,
"virtual_op": 0
}2026/04/26 07:36:33
2026/04/26 07:36:33
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 7951.889106 VESTS |
| Transaction Info | Block #105520686/Trx d30fef59f35df92d82c75925fe1e665d9cbcc1b6 |
View Raw JSON Data
{
"block": 105520686,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "7951.889106 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-04-26T07:36:33",
"trx_id": "d30fef59f35df92d82c75925fe1e665d9cbcc1b6",
"trx_in_block": 5,
"virtual_op": 0
}2026/01/24 05:53:36
2026/01/24 05:53:36
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 5268.709764 VESTS |
| Transaction Info | Block #102878266/Trx 5a080fe3eb3a9af4498c7b748f99bd17d37ec82b |
View Raw JSON Data
{
"block": 102878266,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "5268.709764 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2026-01-24T05:53:36",
"trx_id": "5a080fe3eb3a9af4498c7b748f99bd17d37ec82b",
"trx_in_block": 0,
"virtual_op": 0
}2024/12/18 01:02:18
2024/12/18 01:02:18
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 5432.928961 VESTS |
| Transaction Info | Block #91324457/Trx 55f33275b206a72ab7ff314d1552944a354932d6 |
View Raw JSON Data
{
"block": 91324457,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "5432.928961 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2024-12-18T01:02:18",
"trx_id": "55f33275b206a72ab7ff314d1552944a354932d6",
"trx_in_block": 1,
"virtual_op": 0
}2023/11/14 16:41:39
2023/11/14 16:41:39
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 5602.062493 VESTS |
| Transaction Info | Block #79878561/Trx f813253166c0d63ef32b4651560099d1a382d514 |
View Raw JSON Data
{
"block": 79878561,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "5602.062493 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2023-11-14T16:41:39",
"trx_id": "f813253166c0d63ef32b4651560099d1a382d514",
"trx_in_block": 1,
"virtual_op": 0
}2023/09/22 12:58:30
2023/09/22 12:58:30
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 8538.971279 VESTS |
| Transaction Info | Block #78365956/Trx 9f60b144dd6d453df36cfe78e7e370eadc7f3801 |
View Raw JSON Data
{
"block": 78365956,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "8538.971279 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2023-09-22T12:58:30",
"trx_id": "9f60b144dd6d453df36cfe78e7e370eadc7f3801",
"trx_in_block": 1,
"virtual_op": 0
}2022/11/03 20:05:57
2022/11/03 20:05:57
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 8761.022717 VESTS |
| Transaction Info | Block #69123291/Trx 9e9e8d002c25bf5ee47eeca95433f0921eaf42af |
View Raw JSON Data
{
"block": 69123291,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "8761.022717 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2022-11-03T20:05:57",
"trx_id": "9e9e8d002c25bf5ee47eeca95433f0921eaf42af",
"trx_in_block": 0,
"virtual_op": 0
}2022/01/18 01:05:06
2022/01/18 01:05:06
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 8981.130318 VESTS |
| Transaction Info | Block #60826285/Trx 2002b5d958a6ce0a092de369ceb9c51ee71d2edc |
View Raw JSON Data
{
"block": 60826285,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "8981.130318 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2022-01-18T01:05:06",
"trx_id": "2002b5d958a6ce0a092de369ceb9c51ee71d2edc",
"trx_in_block": 1,
"virtual_op": 0
}2021/06/14 08:10:42
2021/06/14 08:10:42
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 9165.324606 VESTS |
| Transaction Info | Block #54616495/Trx 84ed7832eda7efa2c535e0ecf363af0875b5bacf |
View Raw JSON Data
{
"block": 54616495,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "9165.324606 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2021-06-14T08:10:42",
"trx_id": "84ed7832eda7efa2c535e0ecf363af0875b5bacf",
"trx_in_block": 8,
"virtual_op": 0
}2020/12/11 18:20:45
2020/12/11 18:20:45
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 9352.746580 VESTS |
| Transaction Info | Block #49363687/Trx 7e7f5552d0b299dc6268abf8759139a8fd65ef4e |
View Raw JSON Data
{
"block": 49363687,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "9352.746580 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-11T18:20:45",
"trx_id": "7e7f5552d0b299dc6268abf8759139a8fd65ef4e",
"trx_in_block": 0,
"virtual_op": 0
}2020/12/06 11:55:39
2020/12/06 11:55:39
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 1912.543513 VESTS |
| Transaction Info | Block #49215198/Trx 6d36fbdf388073e85a997d97ad580c017ebfe87c |
View Raw JSON Data
{
"block": 49215198,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "1912.543513 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-06T11:55:39",
"trx_id": "6d36fbdf388073e85a997d97ad580c017ebfe87c",
"trx_in_block": 2,
"virtual_op": 0
}2020/12/05 21:58:24
2020/12/05 21:58:24
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 9358.954434 VESTS |
| Transaction Info | Block #49198767/Trx 09184be886698724e1bad615be309c3d6356d88d |
View Raw JSON Data
{
"block": 49198767,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "9358.954434 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-12-05T21:58:24",
"trx_id": "09184be886698724e1bad615be309c3d6356d88d",
"trx_in_block": 4,
"virtual_op": 0
}2020/11/03 06:35:54
2020/11/03 06:35:54
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 1920.017158 VESTS |
| Transaction Info | Block #48275416/Trx 84f5ff6eae8d94b1c636a69d490762c1699e8e65 |
View Raw JSON Data
{
"block": 48275416,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "1920.017158 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-11-03T06:35:54",
"trx_id": "84f5ff6eae8d94b1c636a69d490762c1699e8e65",
"trx_in_block": 1,
"virtual_op": 0
}2020/05/09 13:00:45
2020/05/09 13:00:45
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 9561.759793 VESTS |
| Transaction Info | Block #43225558/Trx 7baabb1a6587e458df5b70745098e00d2d511943 |
View Raw JSON Data
{
"block": 43225558,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "9561.759793 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-05-09T13:00:45",
"trx_id": "7baabb1a6587e458df5b70745098e00d2d511943",
"trx_in_block": 11,
"virtual_op": 0
}2020/05/08 17:42:36
2020/05/08 17:42:36
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 1953.311140 VESTS |
| Transaction Info | Block #43202937/Trx c9f5fbded2e9eb3092f8ca83058b6a150ddac4ab |
View Raw JSON Data
{
"block": 43202937,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "1953.311140 VESTS"
}
],
"op_in_trx": 0,
"timestamp": "2020-05-08T17:42:36",
"trx_id": "c9f5fbded2e9eb3092f8ca83058b6a150ddac4ab",
"trx_in_block": 3,
"virtual_op": 0
}2020/03/05 14:45:00
2020/03/05 14:45:00
| author | steemitboard |
| body | Congratulations @yijunyu! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@yijunyu/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@yijunyu) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=yijunyu)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/steemitboard/@steemitboard/use-your-witness-votes-and-get-the-community-badge"><img src="https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmTugCUsoXX762vg1CuHRrpnPbfnjPogp8iCGv7F2kSVuj/image.png"></a></td><td><a href="https://steemit.com/steemitboard/@steemitboard/use-your-witness-votes-and-get-the-community-badge">Use your witness votes and get the Community Badge</a></td></tr></table> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes! |
| json metadata | {"image":["https://steemitboard.com/img/notify.png"]} |
| parent author | yijunyu |
| parent permlink | deep-learning-applied-to-deep-thoughts |
| permlink | steemitboard-notify-yijunyu-20200305t144459000z |
| title | |
| Transaction Info | Block #41388491/Trx b4300c31ea87937b14e287b84d44363bd8d8de4b |
View Raw JSON Data
{
"block": 41388491,
"op": [
"comment",
{
"author": "steemitboard",
"body": "Congratulations @yijunyu! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@yijunyu/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@yijunyu) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=yijunyu)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/use-your-witness-votes-and-get-the-community-badge\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmTugCUsoXX762vg1CuHRrpnPbfnjPogp8iCGv7F2kSVuj/image.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/use-your-witness-votes-and-get-the-community-badge\">Use your witness votes and get the Community Badge</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
"json_metadata": "{\"image\":[\"https://steemitboard.com/img/notify.png\"]}",
"parent_author": "yijunyu",
"parent_permlink": "deep-learning-applied-to-deep-thoughts",
"permlink": "steemitboard-notify-yijunyu-20200305t144459000z",
"title": ""
}
],
"op_in_trx": 0,
"timestamp": "2020-03-05T14:45:00",
"trx_id": "b4300c31ea87937b14e287b84d44363bd8d8de4b",
"trx_in_block": 7,
"virtual_op": 0
}2019/06/05 12:54:42
2019/06/05 12:54:42
| delegatee | yijunyu |
| delegator | steem |
| vesting shares | 9756.430337 VESTS |
| Transaction Info | Block #33533735/Trx cccddcbb5fb23a860ff319ed5a7dcc03f8818ea5 |
View Raw JSON Data
{
"block": 33533735,
"op": [
"delegate_vesting_shares",
{
"delegatee": "yijunyu",
"delegator": "steem",
"vesting_shares": "9756.430337 VESTS"
}
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2019/03/02 17:54:21
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2018/03/13 16:09:45
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2018/03/09 20:15:30
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}zdyanupvoted (100.00%) @yijunyu / tips-for-locating-pokemon2018/03/05 07:21:33
zdyanupvoted (100.00%) @yijunyu / tips-for-locating-pokemon
2018/03/05 07:21:33
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2018/03/04 22:05:48
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| body | Resteemed by @resteembot! Good Luck! The resteem was paid by @greetbot Curious? Read @resteembot's [introduction post](https://steemit.com/resteembot/@resteembot/how-to-use-resteembot-updated-2017824t202525149z) Check out the great posts I already resteemed. [ResteemBot's Maker is Looking for Work.](https://steemit.com/resteembot/@resteembot/hire-me-i-ll-code-for-crypto) |
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}nitin.kshatriyaupvoted (100.00%) @yijunyu / tips-for-locating-pokemon2018/03/03 19:08:30
nitin.kshatriyaupvoted (100.00%) @yijunyu / tips-for-locating-pokemon
2018/03/03 19:08:30
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}jeff747upvoted (100.00%) @yijunyu / deep-learning-applied-to-deep-thoughts2018/03/02 20:49:15
jeff747upvoted (100.00%) @yijunyu / deep-learning-applied-to-deep-thoughts
2018/03/02 20:49:15
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}yijunyupublished a new post: deep-learning-applied-to-deep-thoughts2018/03/02 20:23:21
yijunyupublished a new post: deep-learning-applied-to-deep-thoughts
2018/03/02 20:23:21
| author | yijunyu |
| body | @@ -1904,16 +1904,19 @@ . Maybe +in his own |
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| permlink | deep-learning-applied-to-deep-thoughts |
| title | Deep Learning applied to Deep Thoughts |
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yijunyupublished a new post: deep-learning-applied-to-deep-thoughts
2018/03/02 20:15:30
| author | yijunyu |
| body | Thanks to my host who invited me along, I was visiting the Museum of Modern Arts in Manhattan New York City last week. The most famous item of the Museum collections is a painting by Vincent van Gogh, called The Starry Night.  The painting was hanging on the wall since a donation to the museum in 1941 ... don't ask me how much it worths, must be millions, if not billions. Anyways, it is unique in the world and a masterpiece. While I was trying to take a photo, the safety guard reminded me that photographers must be at least two meters away from the painting... Suddenly, it reminded me of "TF Stylize" app in my pocket, which can convert a smartphone's camera into an artist's paintbrush. The Android app is one of the showcase examples from Google's Tensorflow, an open-source deep learning library, where you can build from scratch here: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/android. Once the app fired up, there is a panel of 26 existing paintings to choose from various artistic styles. Guess what? The Starry Night is one of them. Ah ha! It was not a coincidence that I came across this idea impromptu. Now I had the luxury to point the Stylize app towards the painting frame. It would stylize the painting using the style of the original painting itself, just in front of my naked eyes. Now you see this unique picture as a result:  Tell me what you think of the picture. Is it more abstract, more beautiful, more impressive, or more absurd? Thousands of readers may have thousands of Hamlet, you will have your own judgment. My job as a "Time Traveller" who brought you back to the minds of the Master Van Gogh is done here. Maybe his own eyes, this painting would not worth that much of appreciation. It must be the people in the asylum who needed to treat him better while he was alive ... To be honest, you may reproduce the picture next time holding the phone like this at the museum, but chances are you may get stuck in a long queue and do not have enough time to download the app to do the shot :-) Now it comes to the hard bit: if you would like to know more about Deep Learning, I am going to write more articles to explain the concepts using concrete examples like this. Stay tuned ! |
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yijunyuupvoted (100.00%) @yijunyu / tips-for-locating-pokemon
2018/03/02 19:15:06
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}yijunyuupvoted (100.00%) @suesa / the-building-blocks-of-life-basics2018/03/02 19:14:45
yijunyuupvoted (100.00%) @suesa / the-building-blocks-of-life-basics
2018/03/02 19:14:45
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fel1xwupvoted (100.00%) @yijunyu / tips-for-locating-pokemon
2018/03/02 18:39:36
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}yijunyupublished a new post: tips-for-locating-pokemon2018/03/02 17:53:30
yijunyupublished a new post: tips-for-locating-pokemon
2018/03/02 17:53:30
| author | yijunyu |
| body | Pokemon Go is popular. Often you see children holding a smartphone, sometimes with their parents, looking for a monster in this game. What makes the game fascinating is in the cute, but also in the wild. Uncertainty is the king here. The GPS signals received by the smartphones can pinpoint where the player is (let's call it Location A), but not where the monster is (let's call it Location B). When the monster is around, the game will prompt you for their existence. However, such prompts cannot tell you directly the exact location B. The distance between A and B is, to a large extent, unknown. According to my son's experience, such a distance is very random, varying while the smartphone is probing for the monster: sometimes close, sometimes farther away. Prepare for a Scientific Experiment If you are not afraid of some maths, please read on, how we came up with some hypotheses and verify them until we were close to the truth. As mentioned earlier, we assumed initially that the location of the monster (B) is drifting, which was our first null hypothesis. While we encountered a monster and knew its location, instead of caught it immediately, we walked in all directions North, East, South, West, by some 200 meters from this location, until the monster disappeared from the "radar". We then noted down these locations and tracked back to where we had started (location B). In this way, suppose the hypothesis was true, that the monster's location drifts, then we should not see it always at the same location (B) and miss it at the other same locations. After several experiments, it was established that the monster stayed in about the same place. It did drift slightly due to the drifts of GPS signals, but those small drifting errors were tolerable. Therefore, we rejected the null hypothesis and concluded that once the monster is found, it won't leave its nest. According to some videos on YouTube!, once born Pokemon will last 15 minutes for your search. My son's encounters had demonstrated the fact hundreds of times, so it did not require any further experiments. Next, we came up with another hypothesis, that the distance between the Pokemon and where the smartphone warns its existence is constant. After several experiments, we found that's not true: the pokemon might be next to you, or it might be rather far. This distance is another random variable! We had to reject this null hypothesis again. Ethics Concern Oh well, could we fully solve this problem? I suggested hacking the Pokemon Go app in order to understand the truth from its source code. However, my son rejected this suggestion immediately because it could be against the copyright protection and might not be ethical. So we had to resort to external observations. Mathematical Modeling and Derivation Taking out a piece of paper, I drew two circles around A and B. Suppose that the radius of these circles is RA and RB respectively, then the two circles intersect each other only when RA + RB > AB, where AB is the distance between A and B. Let's call the two intersecting points C and D. Without loss of generality, on the intersecting point C, we assumed that Pokemon Go would report the appearance of the monster, while the monster would disappear when it was outside the circle of B. Then C became a boundary point. The appearance and disappearance of a monster were two observable events, from which we could reduce the uncertainty as long as we could mark "C" up on the map. A simple corollary followed. Let's take a random direction to walk from C, until we reached another boundary point (i.e., where the monster appeared and disappeared), marking it up as D. Now, took the midpoint between C and D, and drew a vertical line across this midpoint, the monster should be on this line. According to this conclusion, we had found three monsters consecutively, very lucky! Indeed, not all out of the luck :-) The three boundary points determine where the Pokemon is the center that has equal distance to them: https://ipfs.io/ipfs/QmWeuC5bYRG6cRgpn4847mYnFUqHycYPgCJz5iZbkYckzm A further question was, could we determine the location of the monster from C and D? Not yet. Although we had guessed the direction roughly, it still took quite some unnecessary steps. If only we could have another hint, the problem would have been fully solved. Suppose that we could find another boundary point, E, where the monster appeared/disappeared, then the monster should lurk at a place with equal distance to C, D, and E. This is called the circumcenter of the triangle CDE. Our follow-on experiments confirmed this finding, and it worked every time! Software Engineering of a Mobile App My son was extremely happy, while I thought that the theoretical answer could be made even more practical if we could compute and mark the circumcenter of the three marked points on the map. Fortunately, Google Map API has the marker feature for this functionality. Adapting an open-source project on GitHub, I was able to engineer a solution after overcoming a few technical obstacles. Worth to mention was the fact that the Earth is round! The geolocations obtained from the GPS API concern latitude and longitude, rather than X-Y coordinates, making it a bit tricky to compute the circumcenter. Furthermore, the circumcenter computed from the triangle CDE was not visible on the map, instead, it was below the surface of the Earth and we needed to lift it up onto the surface using the radius of the Earth, and to convert the result back to latitude and longitude for the Google Map marker. Deriving the real-life location of Pokemon from this Augment Reality game on the globe: https://ipfs.io/ipfs/QmVCryrHLixkXBQ3qQFFBRt7yQixic98RMKYf5pPMrJ1wm The moral of these experiments is teaching my son the scientific method for approximating the truth, which is never far away if we keep trying. The source code of the Mobile App: https://github.com/yijunyu/pokemon-compass. |
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"body": "Pokemon Go is popular. Often you see children holding a smartphone, sometimes with their parents, looking for a monster in this game. What makes the game fascinating is in the cute, but also in the wild. Uncertainty is the king here.\nThe GPS signals received by the smartphones can pinpoint where the player is (let's call it Location A), but not where the monster is (let's call it Location B). When the monster is around, the game will prompt you for their existence. However, such prompts cannot tell you directly the exact location B. The distance between A and B is, to a large extent, unknown. According to my son's experience, such a distance is very random, varying while the smartphone is probing for the monster: sometimes close, sometimes farther away. \n\nPrepare for a Scientific Experiment\n\nIf you are not afraid of some maths, please read on, how we came up with some hypotheses and verify them until we were close to the truth. \nAs mentioned earlier, we assumed initially that the location of the monster (B) is drifting, which was our first null hypothesis. While we encountered a monster and knew its location, instead of caught it immediately, we walked in all directions North, East, South, West, by some 200 meters from this location, until the monster disappeared from the \"radar\". We then noted down these locations and tracked back to where we had started (location B). In this way, suppose the hypothesis was true, that the monster's location drifts, then we should not see it always at the same location (B) and miss it at the other same locations. After several experiments, it was established that the monster stayed in about the same place. It did drift slightly due to the drifts of GPS signals, but those small drifting errors were tolerable. Therefore, we rejected the null hypothesis and concluded that once the monster is found, it won't leave its nest.\nAccording to some videos on YouTube!, once born Pokemon will last 15 minutes for your search. My son's encounters had demonstrated the fact hundreds of times, so it did not require any further experiments.\nNext, we came up with another hypothesis, that the distance between the Pokemon and where the smartphone warns its existence is constant. After several experiments, we found that's not true: the pokemon might be next to you, or it might be rather far. This distance is another random variable! We had to reject this null hypothesis again.\n\nEthics Concern\n\nOh well, could we fully solve this problem? I suggested hacking the Pokemon Go app in order to understand the truth from its source code. However, my son rejected this suggestion immediately because it could be against the copyright protection and might not be ethical. So we had to resort to external observations.\n\nMathematical Modeling and Derivation\n\nTaking out a piece of paper, I drew two circles around A and B. Suppose that the radius of these circles is RA and RB respectively, then the two circles intersect each other only when RA + RB > AB, where AB is the distance between A and B. Let's call the two intersecting points C and D. Without loss of generality, on the intersecting point C, we assumed that Pokemon Go would report the appearance of the monster, while the monster would disappear when it was outside the circle of B. Then C became a boundary point. The appearance and disappearance of a monster were two observable events, from which we could reduce the uncertainty as long as we could mark \"C\" up on the map.\n\nA simple corollary followed. Let's take a random direction to walk from C, until we reached another boundary point (i.e., where the monster appeared and disappeared), marking it up as D. Now, took the midpoint between C and D, and drew a vertical line across this midpoint, the monster should be on this line. According to this conclusion, we had found three monsters consecutively, very lucky! Indeed, not all out of the luck :-)\n\nThe three boundary points determine where the Pokemon is the center that has equal distance to them:\nhttps://ipfs.io/ipfs/QmWeuC5bYRG6cRgpn4847mYnFUqHycYPgCJz5iZbkYckzm\n\nA further question was, could we determine the location of the monster from C and D? Not yet. Although we had guessed the direction roughly, it still took quite some unnecessary steps. If only we could have another hint, the problem would have been fully solved. Suppose that we could find another boundary point, E, where the monster appeared/disappeared, then the monster should lurk at a place with equal distance to C, D, and E. This is called the circumcenter of the triangle CDE. \n\nOur follow-on experiments confirmed this finding, and it worked every time! \n\nSoftware Engineering of a Mobile App\n\nMy son was extremely happy, while I thought that the theoretical answer could be made even more practical if we could compute and mark the circumcenter of the three marked points on the map. Fortunately, Google Map API has the marker feature for this functionality. Adapting an open-source project on GitHub, I was able to engineer a solution after overcoming a few technical obstacles. Worth to mention was the fact that the Earth is round! The geolocations obtained from the GPS API concern latitude and longitude, rather than X-Y coordinates, making it a bit tricky to compute the circumcenter. Furthermore, the circumcenter computed from the triangle CDE was not visible on the map, instead, it was below the surface of the Earth and we needed to lift it up onto the surface using the radius of the Earth, and to convert the result back to latitude and longitude for the Google Map marker. \n\nDeriving the real-life location of Pokemon from this Augment Reality game on the globe:\nhttps://ipfs.io/ipfs/QmVCryrHLixkXBQ3qQFFBRt7yQixic98RMKYf5pPMrJ1wm\n\nThe moral of these experiments is teaching my son the scientific method for approximating the truth, which is never far away if we keep trying. \n\nThe source code of the Mobile App: https://github.com/yijunyu/pokemon-compass.",
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