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Articles 1 - 10 of 10
Full-Text Articles in Computer Engineering
Evaluation Of Robocode As A Teaching Tool For Computer Programming, Arnold Hensman
Evaluation Of Robocode As A Teaching Tool For Computer Programming, Arnold Hensman
Conference Papers
Robocode began as an educational tool to aid in learning Java programming. It has since evolved into something of a phenomenon, as the prospect of creating simple to complex virtual tanks appears to pose an attractive challenge to both novice and expert programmers alike. What started out as a teaching tool has grown into a worldwide network of competitors, all keen to prove that their ‘bot’ stands out from the crowd. Competitions are well organised and many Robocode events are a PR dream for the computing companies that sponsor them. Without a doubt, this easy to use application has sparked …
Optical Reading And Playing Of Sound Signals From Vinyl Records, Arnold Hensman, Kevin Casey
Optical Reading And Playing Of Sound Signals From Vinyl Records, Arnold Hensman, Kevin Casey
Conference Papers
While advanced digital music systems such as compact disk players and MP3 have become the standard in sound reproduction technology, critics claim that conversion to digital often results in a loss of sound quality and richness. For this reason, vinyl records remain the medium of choice for many audiophiles involved in specialist areas. The waveform cut into a vinyl record is an exact replica of the analogue version from the original source. However, while some perceive this media as reproducing a more authentic quality then its digital counterpart, there is an absence a safe playback system. Contact with the stylus …
The Effects Of Contention Among Stations On Video Streaming Applications Over Wireless Local Area Networks: An Experimental Approach, Nicola Cranley, Tanmoy Debnath
The Effects Of Contention Among Stations On Video Streaming Applications Over Wireless Local Area Networks: An Experimental Approach, Nicola Cranley, Tanmoy Debnath
Conference papers
Multimedia streaming applications have a large impact on the resource requirements of the WLAN. There are many variables involved in video streaming, such as the video content being streamed, how the video is encoded and how it is sent. This makes the role of radio resource management and the provision of QoS guarantees extremely difficult. For video streaming applications, packet loss and packets dropped due to excessive delay are the primary factors that affect the received video quality. In this paper, we experimentally analyse the effects of contention on the performance of video streaming applications with a given delay constraint …
Dit Frequency Based Incremental Attribute Selection For Gre., John D. Kelleher
Dit Frequency Based Incremental Attribute Selection For Gre., John D. Kelleher
Conference papers
The DIT system uses an incremental greedy search to generate descriptions, (similar to the incremental algorithm described in (Dale and Reiter, 1995) ) incremental algorithm). The selection of the next attribute to be tested for inclusion in the description is ordered by the absolute frequency of each attribute in the training corpus. Attributes are selected in descending order of frequency (i.e. the attribute that occurred most frequently in the training corpus is selected first).
Mediating Between Qualitative And Quantitative Representations For Task-Orientated Human-Robot Interaction., Michael Brenner, John D. Kelleher, Nick Hawes, Jeremy Wyatt
Mediating Between Qualitative And Quantitative Representations For Task-Orientated Human-Robot Interaction., Michael Brenner, John D. Kelleher, Nick Hawes, Jeremy Wyatt
Conference papers
In human-robot interaction (HRI) it is essential that the robot interprets and reacts to a human’s utterances in a manner that reflects their intended meaning. In this paper we present a collection of novel techniques that allow a robot to interpret and execute spoken commands describing manipulation goals involving qualitative spatial constraints (e.g. “put the red ball near the blue cube”). The resulting implemented system integrates computer vision, potential field models of spatial relationships, and action planning to mediate between the continuous real world, and discrete, qualitative representations used for symbolic reasoning.
Open Software To Innovation: The Critical Success Factors Of Massively Multiplayer Online Role Playing Games (Mmorpg) In China And Ireland., Wei Chen
Dissertations
This project investigates the factors leading to the success of China’s Massively Multiplayer Online Role Playing Games (MMORPG) market and gives an analysis of how Open source has contributed to these success factors. It then will look at how the use of open source is mirrored in Ireland’s market for example, the software sector to see if the same factors are apparent or there are indicators of these. Knowledge Management plays a very important role for fasten the innovation of Open source software development in China.
A Framework For The Introduction Of Organisational Learning Using Web 2.0 Applications, Joseph M. Reynolds
A Framework For The Introduction Of Organisational Learning Using Web 2.0 Applications, Joseph M. Reynolds
Dissertations
We are now becoming more and more dependent on web technologies in our personal lives for our communication, information and entertainment needs. But what about using these skills and technologies for our business lives, could they transform the business world in the same way they have transformed our personal world? The purpose of this research was to investigate whether the latest web applications could be successfully implemented into an organisation who wished to transform itself into a modern and flexible organisation. This research was primarily focused on introducing organisational learning into the business through the use of new technology and …
Using Gis To Assess Ireland's Knowledge Economy And Its Readiness For Knowledge Based Activity, Niall Mcguinness
Using Gis To Assess Ireland's Knowledge Economy And Its Readiness For Knowledge Based Activity, Niall Mcguinness
Dissertations
The attractiveness of emerging low wages economics to primary industries such as manufacturing and production is forcing many western economies to transition to knowledge economies. In the absence of many forms of primary industry lost to low wage economies, the European Union and its members are fast realising the importance of attracting knowledge based enterprise in order to maintain Europe’s economic climate. Ireland too has a stated aim to become a knowledge economy by the year 2010. This can be achieved by investing in higher education and attracting knowledge industry to the country. Ireland has made some progress to achieving …
Information Architecture For Irish Grocery Retailers Using Business Intelligence Tools, Patrick Doran
Information Architecture For Irish Grocery Retailers Using Business Intelligence Tools, Patrick Doran
Dissertations
Business Intelligence (BI) systems have a pivotal role to play in assisting retail management in the Irish grocery retail sector. The emergence of super chain stores and the increasing competition within this sector only increases their need for an effective and reliable Business Intelligence (BI) system. However, despite this growing need Business Intelligence (BI) systems as they are currently deployed and used are not supplying the various levels of management with the necessary information they require to make effective retail management decisions. The information and reports received from Business Intelligence (BI) systems lack structure, are missing important pieces of information …
Investigating Text Message Classification Using Case-Based Reasoning, Matt Healy
Investigating Text Message Classification Using Case-Based Reasoning, Matt Healy
Masters
Text classification is the categorization of text into a predefined set of categories. Text classification is becoming increasingly important given the large volume of text stored electronically e.g. email, digital libraries and the World Wide Web (WWW). These documents represent a massive amount of information that can be accessed easily. To gain benefit from using this information requires organisation. One way of organising it automatically is to use text classification. A number of well known machine learning techniques have been used in text classification including Naïve Bayes, Support Vector Machines and Decision Trees, and the less commonly used are k-Nearest …