0000000000709101
AUTHOR
Asghar Muhammad
Cell degradation detection based on an inter-cell approach
Fault management is a crucial part of cellular network management systems. The status of the base stations is usually monitored by well-defined key performance indicators (KPIs). The approaches for cell degradation detection are based on either intra-cell or inter-cell analysis of the KPIs. In intra-cell analysis, KPI profiles are built based on their local history data whereas in inter-cell analysis, KPIs of one cell are compared with the corresponding KPIs of the other cells. In this work, we argue in favor of the inter-cell approach and apply a degradation detection method that is able to detect a sleeping cell that could be difficult to observe using traditional intra-cell methods. We d…
Automatic Taxonomy Induction based on Word-embedding of Neural Nets
Taxonomy is a knowledge management tool that presents useful information in a well-ordered structure prevents overloading of information on its access and making the information access qualitative. This article is concerned with automatically extracting asymmetrical hierarchical relations from a large corpus and subsequent taxonomy construction by domain independent and semi-supervised system. The methodology relies on the term’s distributional semantics. The algorithm utilizes the word-embedding generated from the vector space model. The model is trained over a large corpus to generate word-embedding of each word in a corpus. Then, the system finds and extracts the hypernyms by using the g…