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Search Results: 1 - 10 of 118 matches for " Sazali Yaacob "
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Classification of human emotion from EEG using discrete wavelet transform  [PDF]
Murugappan Murugappan, Nagarajan Ramachandran, Yaacob Sazali
Journal of Biomedical Science and Engineering (JBiSE) , 2010, DOI: 10.4236/jbise.2010.34054
Abstract: In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual induction based protocol has been designed with more dynamic emotional content for inducing discrete emotions (disgust, happy, surprise, fear and neutral). EEG signals are collected using 64 electrodes from 20 subjects and are placed over the entire scalp using International 10-10 system. The raw EEG signals are preprocessed using Surface Laplacian (SL) filtering method and decomposed into three different frequency bands (alpha, beta and gamma) using Discrete Wavelet Transform (DWT). We have used “db4” wavelet function for deriving a set of conventional and modified energy based features from the EEG signals for classifying emotions. Two simple pattern classification methods, K Nearest Neighbor (KNN) and Linear Discriminant Analysis (LDA) methods are used and their performances are compared for emotional states classification. The experimental results indicate that, one of the proposed features (ALREE) gives the maximum average classification rate of 83.26% using KNN and 75.21% using LDA compared to those of conventional features. Finally, we present the average classification rate and subsets of emotions classification rate of these two different classifiers for justifying the performance of our emotion recognition system.
Fuzzy-Rule-Based Object Identification Methodology for NAVI System
R. Nagarajan,G. Sainarayanan,Sazali Yaacob,Rosalyn R. Porle
EURASIP Journal on Advances in Signal Processing , 2005, DOI: 10.1155/asp.2005.2260
Abstract: We present an object identification methodology applied in a navigation assistance for visually impaired (NAVI) system. The NAVI has a single board processing system (SBPS), a digital video camera mounted headgear, and a pair of stereo earphones. The captured image from the camera is processed by the SBPS to generate a specially structured stereo sound suitable for vision impaired people in understanding the presence of objects/obstacles in front of them. The image processing stage is designed to identify the objects in the captured image. Edge detection and edge-linking procedures are applied in the processing of image. A concept of object preference is included in the image processing scheme and this concept is realized using a fuzzy-rule base. The blind users are trained with the stereo sound produced by NAVI for achieving a collision-free autonomous navigation.
Wearable Real-Time Stereo Vision for the Visually Impaired
G. Balakrishnan,G. Sainarayanan,R. Nagarajan,Sazali Yaacob
Engineering Letters , 2007,
Segmentation and Location Computation of Bin Objects
C.R. Hema,M.P. Paulraj,R. Nagarajan,Sazali Yaacob
International Journal of Advanced Robotic Systems , 2008,
Abstract: In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the object location [midpoint,x, y and z coordinates] with respect to the bin area are proposed. The z co ordinate is computed using stereo images and neural networks. The proposed algorithms is tested using two neural network architectures namely the Radial Basis Function nets and Simple Feedforward nets. The training results fo feedforward nets are found to be more suitable for the current application.The proposed stereo vision system is interfaced with an Adept SCARA Robot to perform bin picking operations. The vision system is found to be effective for partially occluded objects, in the absence of albedo effects. The results are validated through real time bin picking experiments on the Adept Robot.
PCA- Based Feature Extraction and k-NN algorithm for Early Jaundice Detection
Muhammad Naufal Mansor 1,Sazali Yaacob 2,Hariharan Muthusamy 3,Shafriza Nisha Basah 4
International Journal of Soft Computing and Software Engineering , 2011, DOI: 10.7321/jscse.v1.n1.4
Abstract: Jaundice is a yellow discoloration of the skin and/or whites of the eyes that is often seen in newborn infants. The discoloration is caused by a yellow substance called bilirubin. Infants with high blood levels of bilirubin, called hyperbilirubinemia, develop the yellow color when bilirubin accumulates in the skin. The main symptom of jaundice is yellow colouring of the skin and conjunctiva of the eyes. Jaundice can also make babies sleepy which can lead to poor feeding. Poor feeding can make jaundice worse as the baby can become dehydrated. If a baby has conjugated jaundice, it may have white chalky stool (poo) and urine that is darker than normal. A PCA method was employed to study the behaviour of the infant. The experimental results reveal that the proposed method can minimize the morbidity and mortality than the conventional method based on k-NN Algorithm.
PCA- Based Feature Extraction and LDA algorithm for Preterm Birth Monitoring
Muhammad Naufal Mansor 1,Sazali Yaacob 2,Hariharan Muthusamy 3,Shafriza Nisha Basah 4
International Journal of Soft Computing and Software Engineering , 2011, DOI: 10.7321/jscse.v1.n1.5
Abstract: Most pregnancies last around 40 weeks. Babies born between 37 and 42 completed weeks of pregnancy are called full term. Premature birth is a serious health problem. Premature babies are at increased risk for newborn health complications, such as breathing problems, and even death. Most premature babies require care in a newborn intensive care unit (NICU). A preemie usually needs frequent office care – to screen vision or hearing problems and assess baby development – involving multiple medical disciplines which require accurate coordination. Thus, we proposed a monitoring system to classify the behavior of a preemie using intelligent vision system. The focus is on predicting preemie behavior based on preemie motion, face and skin analysis. Our preliminary experimental results show a promising performance of the initial part of the system involving preemie face, skin detection and LDA algorithm.
Advancements in Transmitters and Sensors for Biological Tissue Imaging in Magnetic Induction Tomography
Zulkarnay Zakaria,Ruzairi Abdul Rahim,Muhammad Saiful Badri Mansor,Sazali Yaacob,Nor Muzakkir Nor Ayob,Siti Zarina Mohd. Muji,Mohd Hafiz Fazalul Rahiman,Syed Mustafa Kamal Syed Aman
Sensors , 2012, DOI: 10.3390/s120607126
Abstract: Magnetic Induction Tomography (MIT), which is also known as Electromagnetic Tomography (EMT) or Mutual Inductance Tomography, is among the imaging modalities of interest to many researchers around the world. This noninvasive modality applies an electromagnetic field and is sensitive to all three passive electromagnetic properties of a material that are conductivity, permittivity and permeability. MIT is categorized under the passive imaging family with an electrodeless technique through the use of excitation coils to induce an electromagnetic field in the material, which is then measured at the receiving side by sensors. The aim of this review is to discuss the challenges of the MIT technique and summarize the recent advancements in the transmitters and sensors, with a focus on applications in biological tissue imaging. It is hoped that this review will provide some valuable information on the MIT for those who have interest in this modality. The need of this knowledge may speed up the process of adopted of MIT as a medical imaging technology.
Kesan pengurusan kualiti terhadap prestasi perkhidmatan pihak berkuasa tempatan
Zulnaidi Yaacob
Jurnal Kemanusiaan , 2008,
Abstract: Kajian ini bertujuan menguji kesan amalan pengurusan kualiti terhadap prestasi perkhidmatan dalam kalangan pihak berkuasa tempatan (PBT) di Semenanjung Malaysia. Kajian ini didorong oleh hasil penelitian literatur yang mendedahkan bahawa isu prestasi perkhidmatan PBT masihsering diperkatakan walaupun inisiatif pengurusan kualiti di PBT telah bermula hampir 20 tahun yang lalu. Kajian ini memberi sumbangan kepada pengayaan khazanah ilmu terutama bidang kajian pengurusan kualiti untuk PBT. Bukti empirik lepas tentang hubungan antara kedua-duapembolehubah ini banyak berasaskan praktis sektor perniagaan, yang mengakibatkan isu sama berkait dengan PBT belum diselidiki sepenuhnya. Penemuan kajian mendapati komitmen pengurusan, tumpuan pelanggan, penambahbaikan berterusan dan sistem maklumat kualiti mempunyai hubungan yang siginifikan dengan prestasi perkhidmatan. Sebaliknya, hubungan antara pengurusan sumber manusia dan prestasi perkhidmatan didapati tidak signifikan.
Komitmen kakitangan sebagai pemoderat hubungan antara amalan pengurusan kualiti dan kepuasan pelanggan
Zulnaidi Yaacob
Jurnal Kemanusiaan , 2009,
Abstract: Kajian ini bertujuan menguji kesan komitmen kakitangan sebagai pembolehubah pemoderat untuk menjelaskan hubungan antara amalan pengurusan kualiti (APK) dan kepuasan pelanggan. Pembolehubah kontigensi yang diuji dalam kajian ini ialah komitmen kakitangan.Berdasarkan data yang dikutip menggunakan soal selidik daripada 205 responden dari Pihak Berkuasa Tempatan (PBT) di Malaysia, kajian ini mendapati bahawa komitmen kakitangan terhadap APK mempengaruhi hubungan antara APK dan kepuasan pelanggan. Hasil kajian ini memberi sumbangan signifikan kepada literatur pengurusan kualiti dengan membuktikan bahawa hubungan antara APK dan prestasi adalah turut dipengaruhi oleh faktor kontigensi dalaman sesebuah organisasi. Justeru, walaupun APK telah dipersetujui oleh banyak pengkajisebagai strategi pengurusan yang universal, pelaksanaannya perlu mengambilkira keunikan faktor kontigensi sesebuah organisasi.
Zulnaidi Yaacob
International Journal of Electronic Business Management , 2010,
Abstract: This paper reports the customer satisfaction effect of continuous improvement at different intensity levels. The intensity levels were grouped into two, namely highly extensive and less extensive. Data for this study were collected from 205 departmental heads attached to local authorities in West Malaysia by using a questionnaire. Stratified random sampling was applied to select the samples. The findings indicated that there exists a significant difference in customer satisfaction between highly extensive and less extensive implementers. The highly extensive implementers scored a higher mean of customer satisfaction than less intensive implementers. This study contributes significantly to the literature by presenting evidence that the intensity of continuous improvement being practised can contribute to higher levels of customer satisfaction.
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