William Salim, William
Computer Science Department, School of Computer Science, Bina Nusantara University Jl. K. H. Syahdan No-9, Jakarta 11480

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Journal : ComTech: Computer, Mathematics and Engineering Applications

Implementation Of L-System In Procedural City Generation Using Java Sujarwo, Surya; Salim, William; Yuwono, Ferry
ComTech: Computer, Mathematics and Engineering Applications Vol 1, No 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2351

Abstract

Article discusses about the design and implementation of procedural content generation using java, especially the generation of virtual city. It is applied by using L-System to generate the elements of the city and also using some images as the base models. This method is proven to be more effective because it can produce almost unlimited variations of city in short amount of time without any needs to modify the application. The result of this application is a road map which can be used in many areas such as virtual reality, games, or other related purposes.
Perbandingan Koefisien NMF dan Proyeksi Bilinear Space Sebagai Fitur pada Pengenalan Ekspresi Wajah Manusia Salim, William
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2470

Abstract

NMF is one new developed method to make the part-based representation of non-negative data, such as human face image. NMF can reduce the dimension of high dimensional data such as multimedia data. In many researches,NMF can also used as a classification technique done by utilizing the extracted feature through NMF process. This article discusses about the classification technique of human face expression using NMF. This is done using NMF coeffisient and bilinear projection of face image. Some researches show the use of NMF coefficient in classification and some others use bilinear space projection. This research is conducted by simulating face espression recognition to the two available approaches and then comparing the accuracy and time efficiency aspect of the two methods. Through this research, it can be concluded that the use of NMF coefficient results in better accuracy compared to bilinear space projection, but bilinear space projection obtains better time efficiency.