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32 publications found

Average Rate Analysis for the Full-Duplex MISO Interference Channel

Kasun T. Hemachandra, Abraham O Fapojuwo

Journal IEEE Communications Letters , vol. 20(8) , pp. 1579-1582 · 2016 · Cited by 0

Wireless CommunicationsCommunication Theory and Coding

Abstract

The achievable average rate of a full-duplex (FD) multiple-input-single-output interference channel with linear transceiver structures is analyzed. The impact of transmit front-end noise is included in the analysis. Both cooperative and non-cooperative strategies for the FD interference channel are considered and the closed-form expressions are derived for the achievable average rate of each strategy.

Sensor platform for non-invasive ubiquitous current sensing

Malinda Dilhara, Jayathu Samarawickrama, Samitha Elvitigala

Conference ICST 2016 10th International Conference on Sensing Technology (ICST) , pp. 1-5 · 2016 · Cited by 0

Abstract

We present a novel non-invasive current measuring platform that estimates the current through a bundled cable. The sensor platform contains eight three axis magnetometer breakout sensors. We develop a regression model to estimate the current flowing in the wire using captured data from the sensor platform. The model in the paper demonstrated accurate results for current estimation of two core wire (7.2 mm diameter) with mean absolute error as low as 0.03 A and root mean square error as low as 0.06 A. This work can be used to develop a plug and play instrument that can non-invasively measure current in a system without disturbing its behavior in operating environment.

A Preliminary Study on Fungal Spoilage Prevention of Solar Collector Dried Moringa oleifera Leaves Using Humidity Control

Kathirgamaraja Pradeep, Natheesan Ratnasegar, Vikum Sri Wijesinghe, Dumidu Thilakaratne, Kaushalya Bandara, Upeka Premaratne

Other Ministry of Mahaweli Development and Environment · 2016 · Cited by 0

Abstract

Moringa oleifera, commonly known as “Murunga” in Sri Lanka, is a valuable multi-purpose tree that grows in arid tropical climates. This tree is easily accessible at very low cost to rural populations as a rich source of nutrition and medicine. Its leaves contain proteins, essential amino acids, vitamins A and C, minerals and carbohydrates. The leaves are consumed directly with food, or as dried powder ingredient for making herbal tea. The medical properties of the leaves include anti-inflammatory, anti-fibrosis, anti-microbial, antioxidant, anti-hyperglycaemic, anti-tumour and cancer preventative properties. When direct solar drying is used, the process takes up to four days. Solar collectors can achieve this within a single day. Furthermore solar collectors prevent damage to the produce by ultraviolet radiation and contamination from dust and atmospheric pathogens. However, due to the high moisture content of Moringa …

Image reconstruction for surgical navigation using intraoperative PET-laparoscope

Madhushanka Rukshani Liyanaarachchi, Kenji Shimazoe, Hiroyuki Takahashi, Etsuko Kobayashi, Ichiro Sakuma

Conference CARS 2016-Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition · 2016 · Cited by 0

Medical Instrumentation and DevicesBiomedical Imaging and Reconstruction

Impact of Data mining on Telecommunication company revenues (Unpublished master's thesis)

A. T. L. K. Samarasinghe

Other · 2016 · Cited by 0

Machine Learning and Pattern Recognition

Abstract

The rapid advancement of technology has made the telecommunication sector very competitive. In order to keep up with the competition, telecommunication operators have to identify the exact needs of the customers and offer services in-line with the customer needs. The aim of this research is to find out how data mining can be applied to identify customer needs and how telecommunication companies can benefit from using data mining techniques in their business and how to develop a data mining framework for identifying the customer needs in order to develop products and services to increase the revenue levels of the companies. The objective of this study includes the investigation of the relationship between data mining practices and the customer behavior patterns, the relationship between customer needs and products or services, relationship between new product design initiatives and revenue increases of the companies, the impact of data mining on the revenue of telecommunications companies and the development of the data mining frame work to improve the overall ARPU levels of the industry and a Business Intelligence (BI) tool to enhance decision making for improving the overall ARPU levels of the industry. Firstly the conceptual model is developed to indicate the main information areas that the study seeks to provide insights on and is tested through a sample of employees who hold positions in the telecommunications sector. This model has four main variables; an independent variable (data mining), two intermediate variables (customer behavior and product) and a dependent variable (increased revenue). Secondly the …