Simulation of hot carriers in semiconductor devices

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.Includes bibliographical references (p. 109-113).by Khalid Rahmat.Ph.D

Seminar Anti Narkoba dan Pola Hidup Sehat

Seminar ini bertujuan untuk meningkatkan kesadaran masyarakat tentang bahaya narkoba dan pentingnya menjalani gaya hidup sehat. Dalam seminar ini, akan dibahas berbagai aspek terkait narkoba, termasuk dampak sosial, kesehatan, dan ekonomi yang ditimbulkannya. Selain itu, peserta seminar juga akan diberikan informasi dan panduan tentang bagaimana menjalani pola hidup sehat. Dengan menghadirkan pakar dalam bidang narkoba dan kesehatan, seminar ini akan memberikan wawasan mendalam tentang bahaya narkoba dan manfaat gaya hidup sehat. Peserta diharapkan akan lebih memahami risiko narkoba serta mampu mengambil langkah-langkah konkret untuk menjalani hidup yang lebih sehat dan bebas dari narkoba. Dengan demikian, seminar ini diharapkan dapat berkontribusi dalam upaya pencegahan penyalahgunaan narkoba dan peningkatan kualitas hidup masyarakat secara keseluruha

Multimodal 2D-3D face recognition

Up to date, many advances have been made to 2D face recognition (2D FR) due to its broad range of applications in security and commercial areas as well as in smart devices. However, 2D FR is still quite vulnerable under unconstrained conditions of the image acquisition process. To overcome 2D FR limitations, researchers shift to 3D face recognition technology but this technology is computationally expensive and inapplicable to real-world face recognition systems. Multimodal 2D-3D face recognition can combine the strength of both 2D and 3D modalities. In this paper a multimodal 2D-3D face recognition approach has been proposed based on geometric and textural characteristics of 2D and 3D modalities. The conducted experiments show that the proposed approach achieved promising results with illumination and head pose variations. The performance is evaluated using the landmark Bosphorus facial database

An efficient non-occluded face area detection method under unconstrained environment of smartphone database

Occlusion is one of the most challenging problems for recognizing faces captured in unconstrained conditions. This paper focuses on direct detect the useful part in the face which used for features extraction process. To solve occlusion problem and detect un occluded face parts, a Non-Occluded Face Area Detection (NOFAD) method based on geometric features is proposed. The performance of the proposed method is evaluated on the SFV and MOBIO databases, and the experimental results show the outperformance of the proposed method in extracting the non-occluded facial area, realising an accuracy rate of 99.4% and 99.1%, respectively

Region-based facial expression recognition in still images

In Facial Expression Recognition Systems (FERS), only particular regions of the face are utilized for discrimination. The areas of the eyes, eyebrows, nose, and mouth are the most important features in any FERS. Applying facial features descriptors such as the local binary pattern (LBP) on such areas results in an effective and efficient FERS. In this paper, we propose an automatic facial expression recognition system. Unlike other systems, it detects and extracts the informative and discriminant regions of the face (i.e., eyes, nose, and mouth areas) using Haar-feature based cascade classifiers and these region-based features are stored into separate image files as a preprocessing step. Then, LBP is applied to these image files for facial texture representation and a feature-vector per subject is obtained by concatenating the resulting LBP histograms of the decomposed region-based features. The one-vs-rest SVM, which is a popular multi-classification method, is employed with the Radial Basis Function (RBF) for facial expression classification. Experimental results show that this approach yields good performance for both frontal and near-frontal facial images in terms of accuracy and time complexity. Cohn-Kanade and JAFFE, which are benchmark facial expression datasets, are used to evaluate this approach

Modul Penilaian Komprehensif Bagi Pertolongan Cemas Dalam Pendidikan Jasmani Dan Kesihatan (Comprehensive Assessment Module For First Aids In Physical Education And Health)

Tujuan kajian ini adalah untuk mengenal pasti sejauh mana pencapaian pembelajaran pelajar berdasarkan domain kognitif, psikomotor dan afektif melalui Modul Penilaian Komprehensif (MPK) bagi tajuk pertolongan cemas dalam mata pelajaran Pendidikan Jasmani dan Kesihatan (PJK). Reka bentuk kajian ini berupa kaedah pra eksperimen – reka bentuk kajian sekali gus. Kajian dijalankan di beberapa buah sekolah menengah daerah Larut, Matang dan Selama dalam negeri Perak dengan sampel terdiri daripada 15 orang guru dan 443 orang pelajar Tingkatan 2 yang mengikuti kelas PJK. Instrumen MPK pertolongan cemas mengandungi penilaian berupa rubrik pemarkahan bagi domain kognitif (r = .76), domain psikomotor (r = .92) dan domain afektif (r = .77) serta soal selidik tahap persetujuan guru terhadap penggunaan MPK bagi pertolongan cemas (r = .82). Peratus persetujuan guru bagi pertolongan cemas adalah 70.96% (SP = .83). Keputusan kajian menunjukkan pencapaian pembelajaran kognitif murid (M = 6.89, 68.90%) berada pada tahap baik, pencapaian psikomotor semasa sesi pengajaran pada aras ketepatan perlakuan (n = 438, M = 2.68) dan semasa sesi simulasi pada aras ketepatan perlakuan (n = 443, M = 3.43) manakala pencapaian afektif pada aras membina perwatakan (n = 443, M = 4.17). Kajian juga mendapati 90.53% guru bersetuju bahawa penggunaan MPK mampu meningkatkan pencapaian pembelajaran murid, 88.00% bersetuju MPK membantu dalam pengurusan pengajaran guru, 95.94% bersetuju penggunaan MPK mencapai objektif pengajaran, 79.46% bersetuju bahawa MPK menepati ciri modul penilaian dan 58.67% setuju bahawa MPK mudah dilaksanakan. Berdasarkan dapatan, instrumen MPK ini sesuai digunakan sebagai alat ukur yang piawai bagi menilai pencapaian pembelajaran murid dalam tajuk pertolongan cemas bagi mata pelajaran Pendidikan Jasmani dan Kesihata

Analisis Terjadinya Luka Diabetik Pada Penderita Diabetes Melitus

Introduction: Diabetes Mellitus is a metabolic disorder caused by various causes and characteristics of chronic hyperglycemia accompanied by impaired carbohydrate, fat and protein metabolism resulting from impaired insulin secretion or insulin action. Purpose: Knowing the influence of diabetic wounds on people with Diabetes Mellitus. Method: Quantitative research with analytical survey design with a cross-sectional study approach. Results: Shows the results of the obesity statistical test p-value: 0.001, diet p-value: 0.000, age p-value: 0.000, physical activity p-value: 0.000. Conclusion: Obesity, diet, age and activity affect the occurrence of diabetic wounds in people with Diabetes Mellitus. Increase public knowledge about diabetes mellitus by providing counselling so the community can avoid the disease.Pendahuluan: Diabetes melitus merupakan gangguan metabolisme yang disebabkan oleh berbagai sebab dan karakteristik adanya hiperglikemia kronik disertai dengan gangguan metabolisme karbohidrat, lemak dan protein akibat dari gangguan sekresi insulin atau kerja insulin. Tujuan: Mengetahui pengaruh terjadinya luka diabetik pada penderita Diabetes Melitus. Metode: Penelitian kuantitatif dengan rancangan survey analitik dengan pendekatan cross sectional study. Hasil: Menunjukkan hasil uji statistik obesitas nilai p: 0,001, diet nilai p: 0,000, umur nilai p: 0,000, aktvitas fisik nilai p: 0,000. Kesimpulan: Bahwa obesitas, diet, umur dan aktivitas berpengaruh terhadap terjadinya luka diabetik pada penderita Diabetes Melitus. Meningkatkan pengetahuan masyarakat tentang penyakit diabetes melitus dengan memberikan penyuluhan agar masyarakat dapat terhindar dari penyakit