公开(公告)号：MY190961A

公开(公告)日：2022-05-24

申请号：MYPI2016000842

申请日：2016-05-09

Applicant: MIMOS BERHAD

Inventor： ONG BOON PANG ,  MARTIN CHEW WOOI KEAT

IPC: G06F17/00

Abstract: The present invention provides a method to pre-compress object notation key-value pairs for selective transmission packet count reduction by reduction of the Maximum Transmission Unit, MTU packet fragmentation for compressed object notation transmission. The pre-compression methodology of the present invention for selective transmission packet count reduction comprises steps of forwarding an object notation file from a sender computer (404); pre-compressing key-value pairs of the object notation file received from the sender computer (406); transmitting a dynamic context key to a context key server (412); receiving compressed value by a recipient computer (408); requesting relevant dynamic context keys by the recipient computer from the context key server (414); and decoding said compressed value by the recipient computer using relevant dynamic context keys (416). In pre-compressing key-value pairs of the object notation file received from the sender computer further comprises steps of compressing keys of key-value pairs using binary ring method (502); compressing values of key-value pairs using 2,3-gram replacement method (504); transmitting compressed data with checksum and digital signature (506); decompressing said keys by inversing the binary ring method (508); and decompressing said values by inversing the 2,3-gram replacement method (510). (FIG. 4.0)

公开(公告)号：MY186564A

公开(公告)日：2021-07-27

申请号：MYPI2014703906

申请日：2014-12-19

Applicant: MIMOS BERHAD

Inventor： TAN CHIN TEONG ,  GOH TECK HUAT ,  MARTIN CHEW WOOI KEAT

Abstract: The present invention relates to a system (1000) and method for detecting resource allocation anomalies in computing resources. The system (1000) has an Authentication Resource Management Controller (ARMC) server (100) that comprises of a Policy Assignment Module (200); a Master Module (300), and an Anomalies Rectification Module (500). The Master Module (300) comprises of a Hybrid Hierarchical Balanced Computation Module (310); a Hierarchical Balanced Scoring Module (320); and a Missing Association Detection Module (330). Moreover, the Hybrid Hierarchical Balanced Computation Module (310) further comprises of: a Family Transition Filter Module (312); a Maximum Tree Node Counter (313); a Scoring Module (314); and an Anomalies Classifier Module (315). (Figure 3)

公开(公告)号：MY181664A

公开(公告)日：2020-12-31

申请号：MYPI2014704052

申请日：2014-12-29

Applicant: MIMOS BERHAD

Inventor： TAN CHIN TEONG ,  CHIN CHEE KHEEN ,  MARTIN CHEW WOOI KEAT ,  ROHAIZAN BIN ROOSLEY

IPC: G06Q10/00

Abstract: The present invention relates to a system (1000) and method for determining relevancy of academic subject strength. The system (1000) comprises of a web server (100), wherein the web server (100) is connected to a network (200) and an external database (300). The web server (100) further comprises of a database (10), a curriculum relevancy component (CRC) (20), and a Presentation Module (30). The CRC (20) further comprises of a Database Interface Module (DIM) (21), a Data Cleansing and Extracting Module (DCEM) (22), an In-memory Analyser Module (IAM) (23), and an Output Interface Bus Module (OIBM) (24).