公开(公告)号：MY190668A

公开(公告)日：2022-05-09

申请号：MYPI2015001667

申请日：2015-06-29

Applicant: MIMOS BERHAD

Inventor： LEONG CHEE FOO ,  CHEW WOOI KEAT MARTIN ,  FOO CHI HUI ,  NORAZMAN MAT ALI ,  SAFURAH HARUN

IPC: G06K7/10

Abstract: A system and method for detecting potential product quality issues that might occur during delivery of a product within a supply chain due to temperature and/or delivery excursions, wherein fuzzy classes are generated for the product?s environmental temperature (26), storage temperature (30), number of transit points (32), and transit duration (34), the fuzzy classes being combined into unified temperature and unified temporal indexes, wherein an excursion is detected if a measured index is outside a predetermined range. The most illustrative drawing is Figure 1

公开(公告)号：MY175323A

公开(公告)日：2020-06-19

申请号：MYPI2014003120

申请日：2014-11-06

Applicant: MIMOS BERHAD

Inventor： CHEW WOOI KEAT MARTIN ,  FOO CHI HUI ,  VENKAIAH CHOWDARY KONERU ,  SRINU SOMINENI

Abstract: A system and method for identifying potential anomalies in time series data, the time series being normalised (100), and the unit and time scales being divided (202, 206) into sections; the time series for each time section being converted (200) into symbolic representations representing a plurality of different values within a time section; symbols representing mean and slope values for each series over time being compared such that those with smaller differences are identified ( 400) as peers; wherein potential anomalies are identified (500) if a transition between symbols representing maximum or minimum values for one peer is different to the other peers in the group.