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Graphic image is compulsory in delivering information and communication in this information technology era. Graphic applications are used widely to manipulate images in advertising industries and in animation movie productions. In order to manipulate numerous and complex images, it is required long period of time and high-performance computers. However, computers with high-performance specification...
Look for telecommunications fraud in masses of call records is more difficult than finding a needle in a haystack. Even though fraud techniques are constantly evolving and whenever a detection method become know, fraudsters will adapt their strategies and try others. Therefore we propose a novel approach which make use of both threshold rules engine and usage pattern history for fraud detection in...
Intelligent Transport System (ITS) is a method used in traffic arrangements to make efficient road transport system. One of the ITS application is the detection and tracking of vehicle objects. In this research, Gaussian Mixture Model (GMM) method was applied for vehicle detection and Kalman Filter method was applied for object tracking. The data used are vehicles video under two different conditions...
In this study, speech to text system for homophone phrases in Indonesian was designed using an extraction method which featured Mel Frequency Cepstral Coefficient (MFCC). Feature extraction results were classified by comparing the two classifiers of Backpropagation Neural Network (BPNN) and K-Nearest Neigbour (KNN). The input data used were the recordings of each of 3 male and female respondents....
This study proposed a new insight in comparing common methods used in predicting based on data series i.e statistical method and machine learning. The corresponding techniques are use in predicting Forex (Foreign Exchange) rates. The Statistical method used in this paper is Adaptive Spline Threshold Autoregression (ASTAR), while for machine learning, Support Vector Machine (SVM) and hybrid form of...
At present, management analysis bandwidth in a university is indispensable. It aims to control bandwidth usage, so that all spots can be served comfortably especially to supporting the teaching and learning activities. In this study, an analysis and clustering of the university internet traffic is required as bandwidth management decision support. Therefore, K-Means as a clustering algorithm bandwidth...
In this paper, multiclass classification problem; One Against All and One Against One, with Least Squares Support Vector Machine (LS-SVM) will be used. There are three type of kernels were used in this paper; Radial Basis Function (RBF), polynomial and linear. One Against All method and One Against One method will be compared to see the accuracy of each kernel, and the amount of misclassification...
A network-on-chip (NoC), having guaranteed-throughput (GT) or guaranteed bandwidth service by using a flexible method to establish a connection-oriented data communication at runtime, is presented in this paper. The GT packets can share communication link with a flexible manner, where flits belonging to the same packet will have the same local identity-tag (ID-tag). The ID-tags of each packet will...
A referral system is the setting of delegation of tasks and responsibilities for health-care services from one health-care unit to others. The main problem in the current referral system is that it is often quite slow. The process of obtaining a referral hospital still takes a long time because searching for hospitals involves contacting them one by one by telephone. The average time required to refer...
Recently, the ability of the computer i s not only used in calculation, but also the ability to store and provide information that eventually formed a system called database. Database as data storage and processing center has a very important role in getting information. Information retrieval in database system is currently one that uses XML. In our study, we focus on defining queries using the operations...
Position monitoring of older people inside a home is important to deliver appropriate services to meet their needs and preferences. In this paper, we compared five supervised learning algorithms that were used to monitor the position of older people whether inside or outside the room. A number of 1038 data records was obtained through 30 days behaviour monitoring of older people living independently...
It is a big honor and pleasure to welcome you to the IEEE and International Conference on Computation Intelligence and Cybernetics 2016 (CYBERNETICSCOM) and also welcome to Makassar, an ancient historical and touristic city, home of the Sultan Hasanuddin and the great Dutch Fort Rotterdam.
An input/output automata model is a distributed computation model in distributed systems to create a formal model or to prove a distributed algorithm. This research aims to create a formal model of quorum based k-mutual exclusion (k-mutex) algorithm. The formal model of quorum based k-mutex algorithm using input/output automata consists of five components: signature, state, initial state, transition,...
The use of robotics in industry has been increasing, especially in the manufacturing systems. Using articulated arms type, robots are used to assemble different components in manufacturing. Flexibility of the robots provides movements that are difficult to tackle by human. As a consequence, early age understanding, knowledge, and education about articulated arm become more important. This paper provides...
With the exponential growth of information on the World Wide Web, there is a challenge to find for a document that contains specific information on the Internet. There are many statistical documents that are available on the Web. However, to search, recognize and take these kinds of documents need much effort and also require much time. One of the solutions that can be used to do that is a web crawler...
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