Browsing by Author "Herrmann, J"

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An algorithm for labeling topological maps to represent point of interest for vision impaired navigation
(IEEE, 2015-10-13) Jayakody, A; Murray, I; Herrmann, J
Navigation in indoor environments is highly challenging for both vision impaired and sighted people, particularly in unknown environments visited for the first time. Several solutions have been implemented and proposed to deal with this challenge. Although some of them have shown to be useful in real scenarios, each solution involves a significant deployment effort or describes objects in a manner that is unfamiliar or incomprehensible to an individual with severe blindness. This paper presents a model of adding informational point of interest to the typical indoor topological map; with particular attention to the semantic labels of the different type of indoor places and proposes a simple way to include the tags to build the topological map. Using this POI and the semantic information, the system determines the user's path, locates possible obstacles on that route, and offers navigation information to assist vision impaired navigation.
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Database modelling for vision impaired indoor navigation systems
(IEEE, 2015-08-24) Jayakody, A; Murray, I; Herrmann, J
Cooperative research has been conducted to improve navigation services for vision impaired when they are moving through an indoor environment. Hence, to facilitate vision impaired individual in indoor environment requires a formal modelling approach for map generation and decision making about navigation pathways avoiding obstacles. The proposed data model consists "AccessBIM" database (DB) and API functions. The "AccessBIM" features such as, database connection initiation, function call, function return and database connection termination are organized as a series of function objects that meet the various needs of the database to maintain the relational schema. The proposed API primarily consists of two components, namely; DB connector and the API functions. Proposed "AccessBIM" DB will be implemented using real-time database such as "PostgreSQL". The weighted focus will be given to the areas such as Queries, Indexes and Transactions in relation to tuning the DB and the queries. The performance of the proposed API will be evaluated based on the time required to parse and Data insert rate and retrieval rates.
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A database optimization model with quantitative benchmark
(IEEE, 2016-03-11) Murray, I; Jayakody, A; Herrmann, J; Lokuliyana, S; Kandawala, D. S. A; Nanayakkara, S. E. C
Query optimization and indexing have an immense impact on database optimization. This has been considered in many different perspectives which provide several different solutions in each case. The purpose of this paper is to primarily provide a comprehensive review and discussion of the core problems through the research on query optimization technology and indexing, based on a number of optimization techniques commonly used in the general approach of a query. A new database optimization model is designed and experiments show that this model can significantly reduce the amount of query execution time to improve the optimization efficiency. Regardless of research on the database optimization model, significant work has been done to comparatively evaluate three scenarios; non-optimized query, optimized query without following any optimization standard, and optimized query via proposed optimization model using the same experimental methodology. Further, this paper describes a benchmark that was developed specifically for the purpose of measuring the quantitative evaluations of the proposed database optimization model.