The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Big data tsunami has hit Malaysia recently that has awakening the industry and academy communities to aggressively address the insight, hindsight and foresight challenges ensuring Malaysia to be among the top world players in big data information economy for the next decade. Rapid development of Information and Communication Technology (ICT) in this era is very significant due to increasing number...
The work of a police analyst, who inspects money laundering cases, is strongly based on ability to find patterns in a large amounts of financial data, consisting of entries describing bank accounts and money transfers. Out of the need for tools simplifying process of analyzing such data, came the Money Laundering Detection System (MLDS). The mechanisms of money laundering and the system itself are...
Due to the data generated rapidly, many data can become knowledge after it is processed suitably. Many applications like Weather forecast, Stock market, Traffic control, Energy saving, Surveillance control, etc. have been developed based on Big Data processing [1, 2, 4, 5]. For the Big Data itself, it also creates some serious problems like huge dimensionality, data inconsistency, open access, security,...
Image segmentation is one of important step in visual inspection of food product using computer vision system. However, segmentation of food product image is not easily performed if the image has low contrast with its background or the background in acquired image is not homogeneous. This paper proposes k-means clustering combined with Sobel operator for automatic food product image segmentation....
This paper highlighted Kansei Engineering-based Sensor for Agro-industry, which is abbreviated as KESAN. KESAN was developed to measure and monitor worker performance in Agro-industrial Small-Medium sized Enterprises (SMEs). It was developed using Artificial Neural Network (ANN) model based on Kansei Engineering approach. The training and validation data was collected from four types of Food's SMEs...
Nowadays business processes are main concern in enterprises systems. The growing systems affect business process changes. Business processes always grow in order to fulfill the business activities. In this paper, we use a graph model called Petri Nets to analyze complex business processes. A Petri Net is the most usable model which often represents a process system in business concerns or others....
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.