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Naufal Mansor M.,University Malaysia Perlis | Rejab M.N.,Politeknik Tuanku Syed Sirajuddin
Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 | Year: 2013

This paper discussed the crucial demand regarding the scheme to translate the silence voice from the newborn. The infant can't afford to express their feeling of pain by voice. Hence, we proudly present an infant pain recognition system to overcome this matter. We employed the Single Scale Retinex (SSR) to remove the illumination level. Secondly, Gray-Level Co-occurrence Matrix (GLCM) was adopted as the feature extraction. We determine the condition of the infants (pain/no pain) with Hybrid Genetic Algorithm Neural Network (GANN) and Linear Discriminant Analysis (LDA). Several examples were conducted to evaluate the performance of the proposed method under different illumination levels. © 2013 IEEE. Source


Naufal Mansor M.,University Malaysia Perlis | Rejab M.N.,Politeknik Tuanku Syed Sirajuddin
Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 | Year: 2013

In the last recent years, non-invasive methods through image analysis of facial have been proved to be excellent and reliable tool to diagnose of pain recognition. This paper proposes a new feature vector based Local Binary Pattern (LBP) for the pain detection. Different sampling point and radius weighted are proposed to distinguishing performance of the proposed features. In this work, Infant COPE database is used with illumination added. Multi Scale Retinex (MSR) is applied to remove the shadow. Two different supervised classifiers such as Gaussian and Nearest Mean Classifier are employed for testing the proposed features. The experimental results uncover that the proposed features give very promising classification accuracy of 90% for Infant COPE database. © 2013 IEEE. Source


Mansor M.N.,University Malaysia Perlis | Rejab M.N.,Politeknik Tuanku Syed Sirajuddin
Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 | Year: 2013

This paper discussed the crucial demand regarding the scheme to translate the silence voice from the newborn. The infant can't afford to express their feeling of pain by voice. Hence, we proudly present an infant pain recognition system to overcome this matter. We employed Saliency Using Natural statistics (SUN) Saliency Map as the feature extraction. We determine the condition of the infants (pain/no pain) with Support Vector Machine (SVM) Classifier. Several examples were conducted to evaluate the performance of the proposed method. © 2013 IEEE. Source


Mansor M.N.,University Malaysia Perlis | Rejab M.N.,Politeknik Tuanku Syed Sirajuddin
Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 | Year: 2013

Most of infant pain cause changes in the face. Clinicians use image analysis to characterize the pathological faces. Nowadays, infant pain research is increasing dramatically due to high demand from all medical team. This paper presents a sparse and naïve Bayes classifier for the diagnosis of infant pain disorders. Phase congruency image and local binary pattern are proposed. The proposed algorithms provide very promising classification rate. © 2013 IEEE. Source


Zamri Y.,Politeknik Tuanku Syed Sirajuddin | Shamsul J.B.,University Malaysia Perlis
Kovove Materialy | Year: 2011

This study was aimed to investigate the influence of reinforcement content on the physical properties and wear behaviour of composite pure aluminium reinforced with palm shell activated carbon (PSAC). Pure aluminium was reinforced with 0 %, 5 %, 10 %, 15 % and 20 % by weight of PSAC and then compacted at 200 MPa followed by sintering at 500°C for 2h. Quantitative analysis on dry sliding wear behaviour was investigated by means of pin-on-disc wear testing machine. Wear rates of the composite were determined at fixed applied load (10 N) and sliding velocity (150 rpm). Optical micrograph showed that an increasing PSAC content had resulted in increasing of pores in the composites. The hardness and density decreased with the addition of PSAC content. They were reduced drastically with the amount of PSAC content more than 10 wt.%. The cumulative wear rate of the specimens was observed decreased with the amount of PSAC content less than 10 wt.% PSAC and increased with PSAC content more than 10 wt.%. The optimum content of PSAC was found to be 10 wt.% in order to achieve optimum wear resistance. Source

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