Clustering in data mining is very important to discover distribution patterns and this importance tends to increase as the amount of data grows. It is one of the main analytical methods in data mining and its method influences its results directly. K-means is a typical clustering algorithm[3]. It mainly consists of two phases i.e. initializing random clusters and to find the nearest neighbour. ...

The problem statement discussed in this paper is a new technique for the presentation of painterly rendering that uses K-mean segmentation to divide input image into set regions (depending on grayscale regions). Segmenting helps users use different brush strokes and easily change strokes' shape, size, or orientation regions. Every region painted using kinds. properties are chosen depending regi...

Penggunaan trafik internet dalam suatu kantor pemerintah perlu diawasi secara cermat untuk memperoleh efisiensi pemakaiannya baik dan tepat guna. Jalur yang telah disediakan merupakan fasilitas resmi dibiayai dari anggaran bersumber rakyat sehingga cermat. Domain Name System (DNS) menyediakan data kaya menarik, serta dapat diekstraksi mengungkap informasi bisa dianalisis bagi berbagai keperluan...

Due to the extensive use of composites in various industries and the fact that defects reduce ultimate strength and efficiency during operation, detection of failures in composite parts is very important. The aim of this paper is to use Acoustic Emission (AE) non-destructive method in four-point bending test of carbon/epoxy composite to analyze and examine the failure mechanisms. This method is...