Requirement Analysis for LAN Implementation in KUSZA

The implementation of LAN technologies in universities and colleges campus area has been applied a few decades ago. Communications networks are core infrastructure for higher education, providing an essential foundation for all electronic teaching research, library, and administrative services. LAN technology has helped to simplify networking by enabling multiple computer users to simultaneously share resources in a home or business, and is the perfect way to improve data connectivity. Hence, this project is to study the requirement analysis of LAN implementation in Kolej Ugama Sultan Zainal Abidin (KUSZA) concentrating on the new academic buildings which include the technology of the LAN, user community, and the applications for the users to access the campus network. This project also compares the technology between the wired-LAN and wireless LAN that suitable to the KUSZA environment

Tahap kemahiran dan kecenderungan pemikiran kritis murid tingkatan dua dalam mata pelajaran Kemahiran Hidup Bersepadu (KHB) di negeri Kedah dan hubungannya

Penyelidikan ini menilai tahap kemahiran pemikiran kritis dan tahap kecenderungan pemikiran kritis dalam kalangan murid tingkatan dua di Sekolah Menengah Kebangsaan di Daerah Kuala Muda dan Yan, Kedah dan melihat hubungan antara kedua-dua pemboleh ubah. Dimensi-dimensi kemahiran pemikiran kritis yang dianalisis dalam kajian ini ialah 1) Induksi; 2) Deduksi; 3) Kredibiliti Peryataan; dan 4) Mengenal Pasti Andaian manakala bagi tahap kecenderungan pemikiran kritis murid pula meliputi aspek inoviasi, kematangan kognitif dan juga penglibatan. Instrumen yang digunakan dalam kajian ini ialah ujian pemikiran kritis Cornell (Cornell Critical Thinking Test) bagi menilai tahap pemikiran kritis dan bagi mengukur tahap kecenderungan pemikiran kritis menggunakan instrumen University of Florida – Engagement, Maturity and Innovativeness (UF/EMI). Kedua-dua instrument ini diadaptasikan ke dalam bahasa Melayu dan diberi pengujian secara rawak kepada 370 orang murid. Analisis data menggunakan statistik deskriptif seperti min, sisihan piawai dan peratusan. Manakala statistik inferensi juga digunakan untuk menganalisis data iaitu Korelasi Pearson bagi melihat hubungan antara kedua-dua pemboleh ubah. Dapatan kajian menunjukkan bahawa tahap kemahiran pemikiran kritis murid tingkatan dua dalam mata pelajaran Kemahiran Hidup Bersepadu (KHB) di negeri Kedah berada pada tahap lemah. Manakala tahap kecenderungan pemikiran kritis berada pada tahap kuat dan hubungan antara kemahiran pemikiran kritis dengan kecenderungan pemikiran kritis pula menunjukkan wujudnya hubungan yang positif antara kedua-dua pembolehubah

Extraction of Disease Area from Retinal Optical Coherence Tomography Images Using Three Dimensional Regional Statistics

AbstractWe propose a new extraction method of the macular disease area in the human retinal layer from OCT images using three dimensional regional statistics. In previous researches, we extracted disease area by using the mean and standard deviation of the two dimensional disease part pointed out by a clinical doctor. However, the previous method cannot extract disease area for some disease OCT images precisely. In this paper, we propose a new extraction method of the disease area using three dimensional regional statistics. We use a set of 128 images (3D-OCT image) consisted of 2 dimensional OCT retinal image about one retina of a patient. The regional mean and regional standard deviation of gray level are calculated in the three dimensional region of interest (ROI, 125 (=5 × 5 × 5) pixels) in the abnormal area pointed by a clinical doctor. These values are compared with every ROI in the abnormal area to extract the disease area, and the proposal system measures the volume of the disease area. We apply the proposed method to OCT images of 5 patients with retinal diseases. As a result, we can measure the volume of the abnormal area with 80.7% average accuracy

A Survey of Machine Learning Techniques for Behavioral-Based Biometric User Authentication

Authentication is a way to enable an individual to be uniquely identified usually based on passwords and personal identification number (PIN). The main problems of such authentication techniques are the unwillingness of the users to remember long and challenging combinations of numbers, letters, and symbols that can be lost, forged, stolen, or forgotten. In this paper, we investigate the current advances in the use of behavioral-based biometrics for user authentication. The application of behavioral-based biometric authentication basically contains three major modules, namely, data capture, feature extraction, and classifier. This application is focusing on extracting the behavioral features related to the user and using these features for authentication measure. The objective is to determine the classifier techniques that mostly are used for data analysis during authentication process. From the comparison, we anticipate to discover the gap for improving the performance of behavioral-based biometric authentication. Additionally, we highlight the set of classifier techniques that are best performing for behavioral-based biometric authentication

A new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping considering uncertainties

This study proposes a new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping (MVMO-SH) optimisation​ for planning Photovoltaic Distributed Generation (PVDG) in the urban Radial Distribution Network (RDN). The Active Power Loss (APL) index was calculated considering the risk of uncertain photovoltaic generation and urban load distributions. The Monte Carlo Probability Density Function method was initially used to manage uncertainties. The Monte Carlo-embedded MVMO-SH was then used to optimise PVDG in the urban RDN. Simulations were run for several scenarios in three load cases based on 288 segments: residential, commercial, and industrial urban loads. The MVMO-SH had the lowest APL index compared to genetic algorithm and particle swarm optimisation when the probabilistic power flow with PVDG was optimised under uncertainty. The APL indexes with three PVDG installations in the 33-bus RDN for residential, commercial, and industrial urban load models were 0.4094, 0.4811, and 0.4655, respectively. In the 69-bus RDN, the APL indexes with three PVDG installations for residential, commercial, and industrial urban load models were 0.3403, 0.3570, and 0.3504, respectively. For all load models examined, there was a significant reduction in the APL index for the case of three PVDGs compared to the system without PVDG. The findings showed that uncertainty significantly impacted the optimal location and size of PVDG in the RDN

Automatic Extraction of Retinal Disease Area for Optical Coherence Tomography Image

application/pdfOptical Coherence Tomography (OCT) is an emerging technology that can provide high-resolution cross-sectional images of the retina for identifying, and quantitatively assessing of the retinal disease. On OCT images, retinal disease area appears in two conditions, either white or black color. Quantitative information of retina is needed to evaluate the degree of disease and the effectiveness of the treatment. In the previous researches, we already proposed some automatic measurement methods of the thickness between Inner Limiting Membrane (ILM) and Retinal Pigment Epithelium (RPE) from OCT images. One of the methods used was the combination of bottom-up image processing technique and a proposed contour active net model (One Directional Active Net (ODAN)), but resulted in similar problems namely inability to extract abnormal area in some cases and inability to extract the abnormal area in white condition. The main objective of this research is to develop a new generation computer aided diagnosis support system for OCT. The experimental materials used in this research, consists of two sets of 128 pieces of two-dimensional images of a retina. One set was obtained from a drusen patient and another set from a diabetic macular ederma (DME) patient. All of these images were digitalized to a pixel size of 6μm × 6μm, 16-bit gray scale with resolution 512 × 480 pixels. Out of 128 pieces of OCT images from each set, only 36 pieces of images which contained abnormal area were used as the final experimental materials. In this research, we used two conventional methods and proposed three new methods. At the end of the experiment, a comparison was made xiv between different methods of extracting the abnormal area from selected images. The results showed that a new proposed method which is border tracking procedure using regional statistics method provides the best extraction rate compared to others. We hope that this procedure may be added in the commercial OCT unit to evaluate the degree of retinal disease suffered and enable appropriate response for treatment.三重大学大学院工学研究科博士後期課程システム工学専攻77

Analisis perbandingan pengukuran pemikiran kritis pelajar

Kertas ini adalah untuk membuat analisis dan perbandingan instrumen pengukuran kecenderungan pemikiran kritis pelajar iaitu University Florida Critical Thinking Inventory (UFCTI) dengan California Measure of Mental Motivation (CM3). Kajian ini adalah berdasarkan ulasan kajian lepas mengenai instrumen pengukuran kecenderungan pemikiran kritis pelajar dan juga pemikiran kritis. Perbandingan dibuat berdasarkan kepada kajian-kajian lepas literatur. Untuk menjalankan kajian literatur, beberapa kata kunci yang telah dikenal pasti. Beberapa pangkalan data elektronik yang terdapat di perpustakaan university seperti Springer, ProQuest, SAGE, Emerald, EBSCOhost dan Science Direct telah digunakan untuk mencari bahan-bahan dan sumber-sumber sokongan untuk dijadikan sebagai literatur. Dalam kajian, penulis mendapati kedua-dua instrumen ini dapat mengukur kecenderungan pemikiran kritis pelajar tetapi mestilah bersesuaian dengan responden yang hendak dibuat kajian. Instrumen UFCTI adalah sesuai untuk pelajar kolej atau universiti manakala CM3 sesuai untuk pelajar di sekolah menengah rendah

A historical appraisal of ethics and civilization in Malaysia from pre-colonial to post-colonial era

This paper discusses the development of ethics and civilization with regards to Malaysia’s history from its pre-colonial to post-colonial times. This paper analyses the meaning of ethics in Ancient Greek and its relationship to civilization and how ethical framework has changed throughout particular civilizations. It also discusses how the religious ethical framework as well as local culture and customs in Malaysia were affected when Western modernity was introduced to this region. It is argued that both the Hindu-Buddhist period and the Muslim sultanates period have a similarity in their ethical framework in that both frameworks are informed by a belief in the divine, much like the Homeric period in Ancient Greece. On the discussion on the colonial period, this paper emphasizes and draws distinctions between the Portuguese, the Dutch and the British taking into consideration the main events that had happened in Europe between the Portuguese’ conquest of Malacca in 1511 and the British colonization in Malaya in 1824. Finally, this paper discusses on what this means to post-colonial Malaysia and the challenges it brings to the ethical discussion in Malaysia as well suggestions for possible meeting points to counter these challenges

MIMO beamforming network having polarization diversity

This paper presents a MIMO channel measurement for indoor environment. The results present the comparison of channel capacity by using beamforming technique in MIMO systems. Also, polarization diversities (vertical and horizontal) are introduced to reduce multipath fading issues. The measurements were conducted at 2.4GHz with Line of Sight (LOS) scenario