公开(公告)号：MY172808A

公开(公告)日：2019-12-12

申请号：MYPI2012005404

申请日：2012-12-13

Applicant: MIMOS BERHAD

Inventor： TAN SIEOW YEEK ,  BONG CHIN WEI ,  DICKSON LUKOSE

Abstract: The present invention provides a method for identifying multiple entities in a learned image. The present invention utilizes a visual knowledge-base storing multiple pre-defined visual features of various entities. The learned image is sectioned (204) into a plurality of image sub-sections and visual features information from each of the plurality of sub-section images is thereafter extracted (206). The extracted visual features information of the sub-section images is compared (208) with those stored in the knowledge-base. The visual similarity between the extracted visual features information of the sub-section images and the stored visual features is rated (210). Based on the visual similarity rate, entities of the image can thereby be identified (214). A system for identifying multiple entities is also provided.

公开(公告)号：MY185315A

公开(公告)日：2021-05-03

申请号：MYPI2012701213

申请日：2012-12-18

Applicant: MIMOS BERHAD

Inventor： ARUN ANAND SADANANDAN ,  TAN SIEOW YEEK ,  LIM YING SEAN ,  DICKSON LUKOSE

Abstract: The present invention relates to a semantic query system (100) and a method for processing a query. The semantic query system (100) comprises of a query manager (110), a context identifier (120), a question generator (130), a query mapper (140), a ranking component (150) and a query processor (160). When the semantic query system (100) receives a query, the context identifier (120) identifies all contexts related to the query. Thereon, the question generator (130) generates candidate questions based on the contexts. The query mapper (140) maps the query to the candidate questions by performing a syntactic analysis and a social network analysis on the candidate questions with respect to the query. The ranking component (150) produces a list of ranked candidate questions. Based on the list, the query processor (160) retrieves and ranks relevant information which is displayed as the query results.

公开(公告)号：MY188005A

公开(公告)日：2021-11-09

申请号：MYPI2012005159

申请日：2012-11-29

Applicant: MIMOS BERHAD

Inventor： ARUN ANAND SADANANDAN ,  TAN SIEOW YEEK ,  DICKSON LUKOSE

Abstract: A system and method (100, 200) for automated generation of contextual knowledge-base by utilizing contextual revised knowledge-base generator (102), the said contextual knowledge-base generator (102) comprising at least one Salient Entity List Composer module (204); at least one Concept Extension module (208); at least one Ontology Content Mapping module (212); and at least one Revised Knowledge-base Reconstruction module (214). The at least one Revised Knowledge-base Reconstruction module (214) having means for receiving domain knowledge base with concepts from mapped content ontology; determining if said concepts are marked and further processing marked concepts by preserving original hierarchy structure of marked concepts; preserving instances attached to marked concepts; preserving properties with its domain as preserved instances; and removing unmarked concepts from ontology while preserving original hierarchy structure of said marked concepts. In short, the invention automatically identify all concepts, properties and instances (C,P,I) for a revised knowledge-base from a domain knowledge-base based on specific entities and associated contextual information.

公开(公告)号：MY181673A

公开(公告)日：2020-12-31

申请号：MYPI2012701161

申请日：2012-12-13

Applicant: MIMOS BERHAD

Inventor： TAN YEW SENG ,  TAN SIEOW YEEK ,  DICKSON LUKOSE

IPC: G06K9/00

Abstract: The present invention relates to an image processing system (100). The image processing system (100) is able to compute and analyse spatial relationship between objects detected in an image. The image processing system (100) comprises of an image segmentation and labelling component (110), a blob detection component (120), a spatial relationship extractor component (130), and a domain knowledge base (140). The image processing system (100) extracts spatial relationship between objects in an image by performing a surface subdivision computation, two-dimensional spatial relation computation, three-dimensional spatial relation computation and spatial relation extender. (Figure 1)

公开(公告)号：WO2014092536A1

公开(公告)日：2014-06-19

申请号：PCT/MY2013/000233

申请日：2013-12-06

Applicant: MIMOS BERHAD

Inventor： NORBAITIAH AMBIAH ,  TAN SIEOW YEEK ,  DICKSON LUKOSE

IPC: G06F9/50

CPC classification number: G06F9/5066

Abstract: A system (200) and method (300) for dynamic generation of distribution plan for intensive social network analysis (SNA) tasks in a distributed environment comprising at least one Processing Environment Profiler (202); at least one Network Graph Analysis Task Profiler (204); at least one Resource Cost Analyzer (206); at least one Distribution Planner (208); and at least one Task Distributer (210). The at least one Network Graph Analysis Task Profiler (204) further comprises at least one Network Graph Pruning module having means to eliminate unnecessary links and nodes from network graph to produce accurate analysis. A distribution plan for Intensive Social Network (SNA) Tasks is achieved by utilizing a pruned network which extracts the Sub Graph from network graph based on feature set extraction (non-dependent Sub Graph) and estimating the resource cost required to perform each of the given tasks which further map the said task to the appropriate server.

Abstract translation: 一种在包括至少一个处理环境分析器（202）的分布式环境中动态生成用于密集社交网络分析（SNA）任务的分发计划的系统（200）和方法（300）。 至少一个网络图分析任务分析器（204）; 至少一个资源成本分析器（206）; 至少一个分发计划员（208）; 和至少一个任务分发器（210）。 所述至少一个网络图分析任务分析器（204）还包括至少一个网络图修剪模块，其具有从网络图形消除不必要的链接和节点以产生准确分析的装置。 通过利用基于特征集提取（非依赖子图）从网络图中提取子图的修剪网络来实现密集社交网络（SNA）任务的分发计划，并估计执行每个给定的所需的资源成本 进一步将所述任务映射到适当的服务器的任务。