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A Neural Network Architecture for Statistical Downscaling Technique: A Case Study in Indramayu District
(2014-04-16)
This research is focused on the development of statistical downscaling model using neural network technique to predict SOND rainfall in Indramayu. SST and rainfall data from multimodel ensemble outputs (derived from 18 ...
PENGGUNAAN lllDDEN MARKOV MODEL (HMM) UNTUK MENGIDENTIFIKASI RNAFAMILY
(2014-04-16)
Pada awalnya, untuk mengklasifikasikan sekuens baru dari Asam Ribonukelat (RNA) dilakukan pensejajaran dua sekuens. Namun hal ini mengalami kendala apabila terdapat fragmen dari sekuens tersebut yang tidak lengkap. Hidden ...
A Principle Component Analysis Cascade with Multivariate Regression for Statistical Downscaling Technique :A Case Study in Indramayu District
(2014-04-16)
This research is focused on the development of statistical downscaling model using principle component analysis (PCA) as feature extraction cascade with multivariate regression as model prediction. Sea Surface Temperature ...
A PROBLEM IN DATA VARIABILITY ON SPEAKER IDENTIFICATION SYSTEM USING HIDDEN MARKOV MODEL
(2014-04-16)
The paper addresses a problem on speaker identification system using Hidden Markov Model (HMM) caused by the training data selected far from its distribution centre. Four scenarios for unguided data have been conr'ucted ...
PENGEMBANGAN MODEL RANTAI MARKOV UNTUK MENGUJI KETERDUGAAN PADA BARISAN ABJAD
(2014-11-17)
Rantai Markov dapat digunakan untuk menguji keterdugaan dari suatu barisan abjad karena beberapa algoritma pembangkit bilangan acaksemu (PBAS) adalah markov cipher yang memiliki sifat markov. Penelitian ini menggunakan 35 ...
KUANTISASI SKALAR NILAI BISPEKTRUM UNTUK PENCIRI SINYAL PADA SISTEM IDENTIFIKASI PEMBICARADENGAN HMM SEBAGAI PENGENALPOLA
(2014-04-16)
Pada paper ini disajikan teknik kuantisasi skalar untuk merepresentasikan nilai bispketrum sinyal suara pada sistem identifikasi pembicara (SIP). Jumlah channel yang dicoba adalah 128, 250, 400 dan 600, dan jenis statistik ...
Genetics Algorithm for 2D-MFCC Filter Development in Speaker Identification System Using HMM
(2014-04-16)
In this paper, we introduced the using of Genetics Algorithm to optimize the construction of a 2D filter in 2D-MFCC technique for speaker identification system. The 2D filter construction was very essential for processing ...
SISTEM PEMROSESAN SUARA: STUDI KASUS PEMBANDINGAN POWER SPEKTRUM DAN BISPEKTRUM PADAIDENTIFIKASI PEMBICARAMENGGUNAKAN HMM
(2014-04-16)
Paper ini menyajikan bahasan mengenai pemrosesan sinyal suara yang meliputi paradigm a pendekatan permasalahan ,lingkup kajian, perkembangan metode, hingga tahapan proses. Pada bagian akhir disajikan hasil percobaan dengan ...
CONTROLLING CAR MOVEMENTS WITH FUZZY INFERENCE SYSTEM USING AID OF VARIOUSELECTRONIC SENSORS
(2014-04-16)
The driver assistance system is a complex mobile robot system which was designed and built to help drivers to control a car. The system makes a car able to stop automatically within the distance to the obstacles around and ...
A Hidden Markov Model Development for Star Fruit Sugariness Identification
(2014-04-17)
This research is addressed the implementation of Hidden Markov Model (HMM) dedicated to identify the star fruit sugariness. This pixel based identification transforms the RGB (Red-Green-Blue) image into the total dissolved ...