公开(公告)号：MY186835A

公开(公告)日：2021-08-25

申请号：MYPI2017001816

申请日：2017-12-08

Applicant: MIMOS BERHAD

Inventor： DR PU CHUAN CHIN ,  AZHAR BIN ABU TALIB ,  DR KEERATPAL SINGH ,  MOHD RIZAL BIN ABU BAKAR ,  HAMSA KRISHNA A/L KUNANAYAGAM

IPC: G01S13/56 ,  G01S7/292 ,  G01S7/41 ,  G01S13/04 ,  G01S13/72

Abstract: The present invention relates to a method that increases detection accuracy while decreases computing load required by checking whether there target(s) exists in the sea area. Target is detected in real-time (100) by acquiring time-series radar signal from receiver (102); converting each sample of said received radar signal into suitable numerical format (104); segmenting said received radar signal into segments (106); determining threshold setting for deciding alert notification to confirm presence of target in illuminated region (108); storing machine readable instructions in storage medium and performing analysis for detection of probable target in frequency domain (11 0); and presenting output decision to user upon confirmation of existence of target from said detection (112). The present invention detects the existence of slow-moving sea target in a specified area whereby the sensitivity is controlled by threshold set by the user.

公开(公告)号：MY187916A

公开(公告)日：2021-10-28

申请号：MYPI2016002291

申请日：2016-12-22

Applicant: MIMOS BERHAD

Inventor： DR KEERATPAL SINGH ,  ZAID BIN AHMAD ,  ADLINE DSILVA

IPC: G06F9/46 ,  G06F7/00

Abstract: There is provided a method and a system for automatic data ingestion to Hadoop Distributed File System (HDFS) within a time frame. The method comprises the steps of generating a sample data for a requesting data file using schema attributes (100); performing a MapReduce job for the data ingestion using the sample data to thereby generating an execution profile and constraint information (101); creating, using a self-learning model adopting a multivariate regression analysis, a plurality of data ingestion MapReduce jobs based on the execution profile, the constraint information and a historical execution profile (102); and executing the plurality of data ingestion MapReduce jobs using an open-source project for ingesting the data file to the HDFS (103). The system comprises an initial execution profiler (200), a constraint profiler (201), a data ingestion profiler (202) and a job executer (203). (Figure 1)