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MySQL Error: 1194 (Table 'pwn_comment' is marked as crashed and should be repaired)
#0 dbbase_sql->halt(Invalid SQL: select count(id) from pwn_comment where pid='5362' and iffb='1') called at [D:\wwwroot\20911.net\includes\db.inc.php:73] #1 dbbase_sql->query(select count(id) from {P}_comment where pid='5362' and iffb='1') called at [D:\wwwroot\20911.net\comment\module\CommentContent.php:65] #2 CommentContent() called at [D:\wwwroot\20911.net\includes\common.inc.php:518] #3 printpage() called at [D:\wwwroot\20911.net\comment\html\index.php:13]
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Warning: mysql_query() [function.mysql-query]: Unable to save result set in D:\wwwroot\20911.net\includes\db.inc.php on line 67
Database error: Invalid SQL: select * from pwn_comment where pid='5362' and iffb='1' order by id limit 0,10
MySQL Error: 1194 (Table 'pwn_comment' is marked as crashed and should be repaired)
#0 dbbase_sql->halt(Invalid SQL: select * from pwn_comment where pid='5362' and iffb='1' order by id limit 0,10) called at [D:\wwwroot\20911.net\includes\db.inc.php:73] #1 dbbase_sql->query(select * from {P}_comment where pid='5362' and iffb='1' order by id limit 0,10) called at [D:\wwwroot\20911.net\comment\module\CommentContent.php:167] #2 CommentContent() called at [D:\wwwroot\20911.net\includes\common.inc.php:518] #3 printpage() called at [D:\wwwroot\20911.net\comment\html\index.php:13]
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 客户点评-Sensors Have Been Applied In An Workplace Constructing To Obtain Information Regarding User Presence And Absence Intervals. Occupancy Was Also Recorded By Guide Statement, And Indoor Parameters Such A世界杯2022几月份开始_2022世界杯赛程-世界杯资讯
 
 
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Sensors Have Been Applied In An Workplace Constructing To Obtain Information Regarding User Presence And Absence Intervals. Occupancy Was Also Recorded By Guide Statement, And Indoor Parameters Such A
Sensors have been applied in an workplace constructing to obtain information regarding user presence and absence intervals. Occupancy was also recorded by guide statement, and indoor www.blurb.com parameters such as air temperature, relative humidity, carbon dioxide (CO2), unstable natural compounds (VOC) have been monitored. Occupants’ behaviors regarding door/window (open/closed) and electric energy were thought-about. Clustering evaluation by guide commentary was employed to establish similarities in day by day or monthly occupancy and to explain possible occupancy profiles. Comparable method was carried out with every monitored parameter and the results of clustering elaboration were in contrast with the true occupancy profiles to determine which sensor is more effective to measure workplace occupancy. Moreover, data had been analyzed to explore relationships between occupancy and the magnitude of indoor environmental modifications with the objective to establish daily, weekly, or month-to-month patterns. Single-linkage, full-linkage, and average-linkage clustering were utilized to each dataset. The cophenetic correlation coefficient was used to confirm the standard of the outcomes obtained for each variable, and the entire linkage was chosen to define the teams. Comparability between occupancy actual knowledge clustering and VOC and open/closed door groups demonstrated not similarities. The electricity consumption and CO2 information confirmed some similarities.
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