A SON Solution for Sleeping Cell Detection Using Low-Dimensional Embedding of MDT Measurements

Automatic detection of cells which are in outage has been identified as one of the key use cases for Self Organizing Networks (SON) for emerging and future generations of cellular systems. A special case of cell outage, referred to as Sleeping Cell (SC) remains particularly challenging to detect in state of the art SON because in this case cell goes into outage or may perform poorly without triggering an alarm for Operation and Maintenance (O&M) entity. Consequently, no SON compensation function can be launched unless SC situation is detected via drive tests or through complaints registered by the affected customers. In this paper, we present a novel solution to address this problem that makes use of minimization of drive test (MDT) measurements recently standardized by 3GPP and NGMN. To overcome the processing complexity challenge, the MDT measurements are projected to a low-dimensional space using multidimensional scaling method. Then we apply state of the art k-nearest neighbor and local outlier factor based anomaly detection models together with pre-processed MDT measurements to profile the network behaviour and to detect SC. Our numerical results show that our proposed solution can automate the SC detection process with 93 accuracy

Automatic Segmentation of Broadcast News Audio using Self Similarity Matrix

Generally audio news broadcast on radio is com- posed of music, commercials, news from correspondents and recorded statements in addition to the actual news read by the newsreader. When news transcripts are available, automatic segmentation of audio news broadcast to time align the audio with the text transcription to build frugal speech corpora is essential. We address the problem of identifying segmentation in the audio news broadcast corresponding to the news read by the newsreader so that they can be mapped to the text transcripts. The existing techniques produce sub-optimal solutions when used to extract newsreader read segments. In this paper, we propose a new technique which is able to identify the acoustic change points reliably using an acoustic Self Similarity Matrix (SSM). We describe the two pass technique in detail and verify its performance on real audio news broadcast of All India Radio for different languages.Comment: 4 pages, 5 image

Significant barriers to ICT adoption in the public sector in the Least Developed Countries (LDCs): A case study of Bangladesh

Adoption of ICT in the public sector of the least developed countries (LDCs) is still far from satisfactory, despite many initiatives at international and national levels. In addition to perceived barriers associated with LDCs, such as lack of political will and commitment, leadership, infrastructure, human capacity etc, this empirical study has found new evidence of a deep rooted underlying cause, a lack of proper knowledge and awareness as the major barrier to ICT adoption, in the context of Bangladesh. The study also attempts to uncover the relative effect of different barriers and their inter relationships based on focus group data which gives important direction for further study

Impact of Working Capital Management on Value Enhancing across Manufacturing Sector of Pakistan

Working Capital Management (WCM) shows a significant role in manufacturing firm’s performance. Current study examines the effect of WCM on firm’s performance, stock performance, investment and value enhancing for the time period of 7 years from 2010 to 2016 in Pakistan. Panel Data Technique along with descriptive and correlation test have been employed for the sake of analysis. Moreover, Fixed Effect Model is also applied with strong evidence from Hausman and likelihood test. Stock performance is calculated by using market to book value, operating performance by return on assets. Excess return is calculated by subtracting the expected return (Capital Assets Pricing Model) from actual return (Share Prices return). Data has been gathered from annual reports, balance sheet analysis, yahoo finance, open door and from Pakistan Stock Exchange. Eventually, strong evidence has been found that WCM has significant impact on the firm, as well as on stock performance, investment and value enhancing of manufacturing sector of Pakistan. Moreover, result suggests that firms can enhance their value, increase stock and operating performance and maximize the investment value with the optimal level of WCM. So, present research concludes in the light of investigated results that WCM plays a vital role for organization performance. Keywords: Working capital management, Value Enhancing, CAPM, stock performance, investment, excess return, Pakista