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Rule-based reasoning and fuzzy logic are used to develop a model to predict the surface roughness value of milling process. The process parameters considered in this study are cutting speed, feed rate, and radial rake angle, each has five linguistic values. The fuzzy rule-based model is developed using MATLAB fuzzy logic toolbox. Nine linguistic values and twenty four IF-THEN rules are created for...
Mass spectrometry technique is gradually gaining momentum among the recent techniques deployed by several analytical research labs which intends to study biological or chemical properties of complex structures such as protein sequences. Literature reveals that reasoning voluminous mass spectrometry data via sophisticated computational techniques inspired by observing natural processes adapted by biological...
Flexible manufacturing system is one of the industrial branches that highly competitive and rapidly expand. Globalization of the industrial system has encouraged the development of distributed manufacturing, including flexible manufacturing system. As such, the complexity of the problem faced in this new environment promotes current researcher to develop various approaches in optimizing the production...
The representation of input data set is important for learning task. In data summarization, the representation of the multi-instances stored in non-target tables that have many-to-one relationship with record stored in target table influences the descriptive accuracy of the summarized data. If the summarized data is fed into a classifier as one of the input features, the predictive accuracy of the...
Web caching and pre-fetching are vital technologies that can increase the speed of Web loading processes. Since speed and memory are crucial aspects in enhancing the performance of mobile applications and websites, a better technique for Web loading process should be investigated. The weaknesses of the conventional Web caching policy include meaningless information and uncertainty of knowledge representation...
Developing a fault detection and diagnosis system of complex processes usually involve large volumes of highly correlated data. In the complex aluminium smelting process, there are difficulties in isolating historical data into different classes of faults for developing a fault diagnostic model. This paper presents a new application of using a data mining tool, k-means clustering in order to determine...
Terrorist group's forums remain a threat for all web users. It stills need to be inspired with algorithms to detect the informative contents. In this paper, we investigate most discussed topics on Arabic Dark Web forums. Arabic Textual contents extracted from selected Arabic Dark Web forums. Vector Space Model (VSM) used as text representation with two different term weighing schemas, Term Frequency...
Optimization has a strict mathematical meaning but it is not often the definition used when the scientific literature refers to optimization. In this talk we will reflect on what we actually mean when we use the term “Optimization” and consider some of the optimization methodologies that are used. In particular we will focus on exact methodologies, meta-heuristics, hyper-heuristics, multi-objective...
Prediction of dengue outbreak becomes crucial in Malaysia because this infectious disease remains one of the main health issues in the country. Malaysia has a good surveillance system but there have been insufficient findings on suitable model to predict future outbreaks. While there are previous studies on dengue prediction models in Malaysia, unfortunately some of these models still have constraints...
This paper presents the design of algorithm solution for selecting a planting lining technique. The three techniques with different planting lining direction lead to different number of trees, therefore the technique promotes the highest number of tree is optimal technique. Optimization refers to the maximum number for better area utilization. The huge possible solution and uncertain result make the...
This paper aims to develop an operational methodology for monitoring spatial and temporal changes due to deforestation in Selangor over a 22 year period. The driving forces determining the changes were also analysed. Overall, the results show that the causes of deforestation were the economic factors, namely agriculture intensification, and population dynamics, related to the process of urbanization...
In this paper we consider a multiobjective job shop scheduling problem. The machines are subject to availability constraints that are due to preventive maintenance, machine breakdowns or tool replacement. Two optimization criteria were considered; the makespan for the jobs and the total cost for the maintenance activities. The job shop scheduling problem without considering the availability constraints...
Rapid innovation of products by manufacturers reduces the life cycle of the current product due to frequent introduction of new version of product to the market. Manufacturers dealing with these innovative products face problems to forecast the demand from customer, thus increase the cost of carrying the inventory of such products. Generally, this drawback is observed in highly demanded product, such...
The basic idea of the Variable Neighborhood Search (VNS) algorithm is to systematically explore the neighborhood of current solution using a set of predefined neighborhood structures. Since different problem instances have different landscape and complexity, the choice of which neighborhood structure to be applied is a challenging task. Different neighborhood structures may lead to different solution...
Due to the rapid increase of information in the World Wide Web, there exists an explosion of information on the Web that may overwhelm the common Web user. The Web user may find it quicker or more efficient to browse the Web by reading summaries of Web sites. This paper proposes WebSum to compress Web site content into a summary. WebSum is an enhancement of the SumBasic algorithm, that was mainly...
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