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Articles 1 - 5 of 5
Full-Text Articles in Signal Processing
Automated Tajweed Checking Rules Engine For Quranic Learning, Noor Jamaliah Ibrahim, Mohd Yamani Idna Idris, Zaidi Razak, Noor Naemah Abdul Rahman
Automated Tajweed Checking Rules Engine For Quranic Learning, Noor Jamaliah Ibrahim, Mohd Yamani Idna Idris, Zaidi Razak, Noor Naemah Abdul Rahman
Noor Jamaliah Ibrahim
Purpose - The purpose of this paper is to provide a structural overview of speech recognition system for developing Quranic verse recitation recognition with Tajweed checking rules function. This function has been introduced, due to support the existing and manual method of talaqqi & musyafahah method in Quranic learning process, which described as face to face learning process between students and teachers. Here, the process of listening, correction and repetition of the correct Al-Quran recitation took place in real time condition. However, this method is believed become less effective and unattractive to be implemented, especially towards the young Muslim generation …
Quranic Verse Recitation Recognition Engine For Self Learning Of Al-Jabari Method: A Review, Noor Jamaliah Ibrahim, Zulkifli Mohd Yusoff, Mohd Yamani Idna Idris
Quranic Verse Recitation Recognition Engine For Self Learning Of Al-Jabari Method: A Review, Noor Jamaliah Ibrahim, Zulkifli Mohd Yusoff, Mohd Yamani Idna Idris
Noor Jamaliah Ibrahim
In our reality of life, there are still a lot of Muslims can’t read Al-Quran properly with a better understanding of Tajweed rules. Moreover, the correct recitation of Quran is required and important for prayer and worship in Islam. Reality of hours provided, particularly for Quranic learningsyllabus (Pendidikan Islam) during schools hours, were particularly less and limited. Due to this matter, Al-Jabari method of learning Al-Quran has been introduced through effective and faster way, just only in 30 hours. This method is a new approach in learning Al-Quran, which formerly founded in Bandung, Indonesia. This technique and skill is believed …
A Study Of Mexican Free-Tailed Bat Chirp Syllables: Bayesian Functional Mixed Modeling Of Nonstationary Time Series Data With Time-Dependent Spectra, Josue G. Martinez, Kirsten M. Bohn, Raymond J. Carroll, Jeffrey S. Morris
A Study Of Mexican Free-Tailed Bat Chirp Syllables: Bayesian Functional Mixed Modeling Of Nonstationary Time Series Data With Time-Dependent Spectra, Josue G. Martinez, Kirsten M. Bohn, Raymond J. Carroll, Jeffrey S. Morris
Jeffrey S. Morris
We describe a new approach to analyze chirp syllables of free-tailed bats from two regions of Texas in which they are predominant: Austin and College Station. Our goal is to characterize any systematic regional differences in the mating chirps and assess whether individual bats have signature chirps. The data are analyzed by modeling spectrograms of the chirps as responses in a Bayesian functional mixed model. Given the variable chirp lengths, we compute the spectrograms on a relative time scale interpretable as the relative chirp position, using a variable window overlap based on chirp length. We use 2D wavelet transforms to …
Greek Patent Protection System And The Impacts Of Information Technology Industry, Emmanouil Alexander Zografakis Ez
Greek Patent Protection System And The Impacts Of Information Technology Industry, Emmanouil Alexander Zografakis Ez
Emmanouil Alexander Zografakis EZ
Our era can be characterized as the era of knowledge proliferation and bountifulness. That has marked our era as the era following the pace of the Information Society Development. Information Society has also brought about a remarkable IT development pace over countries. Thereby, it is greatly important all that raw knowledge to become mind figments, ideas and even inventions and innovations. It is also essential to highlight that such a beneficial process will ensure the continuity of the IT development. The only way to achieve that goal is to find a way to secure all that aforementioned knowledge which is …
Desarrollo De Modelos Adaptivos Para El Procesamiento Digital De Señales Multiespectrales De Percepción Remota Y Su Implementación Como Software De Alto Desempeño, Dr. Iván Esteban Villalón Turrubiates
Desarrollo De Modelos Adaptivos Para El Procesamiento Digital De Señales Multiespectrales De Percepción Remota Y Su Implementación Como Software De Alto Desempeño, Dr. Iván Esteban Villalón Turrubiates
Iván Esteban Villalón Turrubiates
El Objetivo General de este Proyecto es Investigar y desarrollar nuevos paradigmas computacionales (metodologías y algoritmos) para el procesamiento digital de señales obtenidas por sistemas multiespectrales de percepción remota, por medio de técnicas de inteligencia artificial y computación distribuida para obtener un diseño robusto y adaptivo que pueda ser implementado a nivel software y a nivel hardware.