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Classification is one of the important tasks in Data Mining or Knowledge Discovery with prolific applications. Satisfactory classification depends on characteristics of the dataset too. Numerical and nominal attributes are commonly occurred in the dataset. However, classification performance may be aided by discretization of numerical attributes. At present, several discretization methods and numerous...
Ensuring satisfactory Quality of Service (QoS) is a vital consideration in deploying multimedia streaming service, especially when deploying over wireless network. Selecting suitable parametric values for each streaming parameter is one of a crucial factor. This work is concerned with one of the parameters commonly known as ‘Packetization Interval’ which has direct influences on several critical QoS...
Detecting abnormalities in manufacturing process at an early stage is advantageous. This can be done by monitoring its Control Chart Patterns (CCPs). These patterns can be considered as time series data. Therefore, accurate classification of CCPs is vital in the process control. There have been several types of CCPs classifiers with various degrees of accuracy. This work is concerned with implementation...
Ability to monitor and detect abnormalities accurately is important in a manufacturing process. This can be achieved by recognizing abnormalities in its control charts. This work is concerned with classification of control chart patterns (CCPs) by utilizing a technique known as Symbolic Aggregate Approximation (SAX) and an evolutionary based data mining program known as Self-adjusting Association...
Full audio bandwidth with very low algorithmic delay CODEC is state-of-the-art in CODEC technology. This type of CODEC is expected to support full frequency range for human hearing. It will enable future multipurpose audio applications, especially those which require high quality of audio signal with very low delay. A popular choice for this type of CODEC is the Constrained Energy Lapped Transform...
Audio streaming over wireless local area network (WLAN) has an ability to transmit audio data ranging from short messages to music station. A popular application of this is in setting up a community radio, which is in demand, especially in developing countries where frequency spectrum management is still problematic. Audio streaming has to assure high quality of content reception without any packet...
Voice over Internet Protocol (VoIP) is a new paradigm of telephony service. Many organizations nowadays are interested in adopting VoIP. Nevertheless, different deployment strategies exist. This study describes all current possible VoIP deployments (No Mobility, Limited Area Mobility and Full Mobility), their properties and characteristics. It attempts to systematically compare these possible deployments...
Tree-based backbone establishment and maintenance in mobile ad hoc - delay tolerant networks is often operated through the use of traversing tokens. A study and framework are proposed here for various token traversal strategies on tree-based backbones. The proposed strategies execute in a distributed and purely decentralized manner, and require only 1-hop knowledge. Aiming at providing the highest...
Quality of service (QoS) is an important issue in delay tolerant mobile ad-hoc networks (DTMs). This work attempts to improve the QoS in DTMs by relying on spanning forests algorithms. The existing algorithms are improved by introducing the notion of trust and choosing the most robust (trustable) spanning trees among existing opportunities. The robustness/quality of the tree can be assessed based...
Delay tolerant networks (DTNs) are an extension of mobile ad-hoc networks (MANETs). Global knowledge in DTNs cannot be obtained or guaranteed due to their dynamicity, decentralized nature and non-permanent structure. Managing such networks optimally is very difficult, if not impossible. Trust management in such networks receives much attention recently due to their potential application. One solution...
Scientists in the field of spatial economics have proposed different theories on how cities are emerged. These theories were transformed into different algorithms on emergence of cities. Assessing the efficiency of the final emergence from these algorithms is best performed where an ideal or optimal emergence is available for comparison. However, without performing exhaustive search, determination...
The problem of generating efficient association rules can seen as search problem since many different sets of rules are possible from a given set of instances. As the application of evolutionary computation in searching is well studied, it is possible to utilize evolutionary computation in mining for efficient association rules. In this paper, a program known as self-adjusting associative rules generator...
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