公开(公告)号：MY178650A

公开(公告)日：2020-10-20

申请号：MYPI2015001665

申请日：2015-06-29

Applicant: MIMOS BERHAD

Inventor： TEOH EE NA ,  MOHD AMRIL NURMAN BIN MOHD NAZIR ,  ETTIKAN KANDASAMY A/L KARUPPIAH ,  NGO CHUAN HAI

Abstract: The present invention relates to systems and methods for detecting abnormal instances in a dataset for a given time granularity (e.g., daily, weekly, monthly). The system comprises a pre-processing module (202) that receives a plurality of raw transactions and.generates one or more time instance, Tl datasets based on a defined time granularity and a data restructuring and re-clustering module (212) that.selects at least one optimal cluster model by iteratively clustering the Tl datasets and re-structuring normal transactions of the clustered Tl dataset with a subsequent Tl dataset of one or more Tl datasets using multiple cluster models. The optimal cluster model is then used for processing new transactions for detecting anomalies by running a new Tl dataset generated for the new transactions on the optimal cluster model for clustering them into an abnormal cluster having highest number of abnormal transactions and at least one normal cluster having normal transactions.

公开(公告)号：MY173428A

公开(公告)日：2020-01-23

申请号：MYPI2014002432

申请日：2014-08-20

Applicant: MIMOS BERHAD

Inventor： ETTIKAN KANDASAMY A/L KARUPPIAH ,  SHAHIRINA BINTI MOHD TAHIR ,  ONG PENG SHEN ,  NGO CHUAN HAI ,  LEE CHIN YANG

Abstract: Video Analytics (VA) is a compute intensive and time consuming process. The method and apparatus (100) of the present disclosure addresses this problem by creating a parallel mechanism for data reuse and eliminating resource and compute redundancy for multiple video analytics execution. The method involves identifying common VA modules for execution across VA operations (14, 16), collating outputs of the executed VA modules in a parallel configuration (18, 18.2) and analysing the collated outputs for detecting occurrence of an event associated with pre-defined specifications (20). Fig. 1

公开(公告)号：MY173084A

公开(公告)日：2019-12-25

申请号：MYPI2014701350

申请日：2014-05-23

Applicant: MIMOS BERHAD

Inventor： YASZRINA BINTI MOHAMAD YASSIN ,  DR ETTIKAN KANDASAMY A/L KARUPPIAH ,  AZIZAH BINTI MAIDIN ,  KOONG WAH YAN ,  NGO CHUAN HAI

Abstract: The present invention relates to an apparatus and method for performing computation using adaptive-window edit distance algorithm to determine matching possibilities by optimizing ratio of similarity values and weighted order of string, wherein the computation on string performed using parallel forward and backward computation on each sub-string to determine sequential order. The apparatus for parallel moving adaptive window filtering edit distance computation includes: a central processing unit (1), a storage unit (2), a memory module (6), a plurality of input devices (4), a random access memory (7) having connected to the memory module (6), an Input-Output hub (3) having connected to the memory module (6), the input devices (4) and the storage unit (2), and a parallel computation acceleration device (5) having connected to the central processing unit (1) via memory module (6), whereby the parallel computation acceleration device (5) further includes: a match filtering scoping unit to extract a first string from at least one reference list that is most similar to a second string from at least one search list for matching operation, a eliminator unit to extract at least one unmatched string from the first string and second string, a comparator unit to compute the unmatched string, wherein the unmatched string are split to at least one sub-string using a space character and eliminate at least one patronymic character, and at least one edit distance adaptive window determining unit to prepare for adaptive window setting based on the unmatched string and to calculate adaptive distance values on at least one critical path.

公开(公告)号：MY163947A

公开(公告)日：2017-11-15

申请号：MYPI2013004420

申请日：2013-12-09

Applicant: MIMOS BERHAD

Inventor： NGO CHUAN HAI ,  YASZRINA MOHAMAD YASSIN ,  ETTIKAN KANDASAMY KARUPPIAH

IPC: G06F17/30

Abstract: The present invention relates to an apparatus (200) and method (500) for parallel moving adaptive window filtering edit distance computation that utilizes an adaptive window filtering mechanism to accelerate edit distance computation for increased efficiency and shorter times by searching along a critical path that provides a high rate for string similarity matching. The apparatus (200) of the present invention comprising at least one central processing unit (202); at least one storage unit (210); at least one memory module (204, 206); at least one 1/0 hub (212); a plurality of input devices (214); and at least one parallel computation acceleration device (208). The at least one parallel computation acceleration device (208) further comprising at least one match filtering scoping unit (302) which scopes a region of interest of a reference list that is most similar to a search string for matching operation; at least one edit distance adaptive window determining unit (304) to prepare for window setting based on user input and to calculate distance values on critical path. String filtering is performed automatically, wherein strings are sorted based on character offset to ensure all possibilities of matching are covered. Further, a feedback mechanism is provided for the automatic threshold based filtering to initialize the adaptive window setting based on user input to prepare for the threshold-based filtering and to calculate the distance values on the critical path; and to obtain the final distance value to determine whether the comparison is the intended match or not.