Robot Perekam Objek Berbasis Face Tracking

Face tracking merupakan teknik dalam bidang visi komputer yang digunakan untuk melakukan penjejakan pada wajah yang bergerak. Face tracking dilakukan dengan teknik pengolahan citra melalui rangkaian algoritma yang kompleks. Proses face tracking memberikan kemampuan pada computer untuk mengetahui gerakan dari wajah yang berpindah keluar dari frame. Kemampuan ini bisa dimanfaatkan untuk merekam objek yang bergerak contohnya seorang pembicara sering bergerak di atas podium tanpa bantuan tangan manusia. Penelitian ini merancang sebuah robot yang dapat mengikuti perpindahan gerak dari wajah dengan menggunakan metode Viola Jones sebagai algoritma pendeteksi wajah. Robot ini menggunakan mikrokontroler Arduino Uno R3 dan komputer sebagai otak dari robot, webcam yang digunakan untuk mendeteksi wajah, Motor Servo sebagai penggerak webcam untuk mengikuti wajah yang terdeteksi, serta Arduino IDE dan Matlab sebagai software untuk pengkodean. Dengan beberapa limitasi penelitian ini mampu memberikan proof of concept: mampu mengikuti dan merekam objek yang bergerak dengan kecepatan tertentu melalui metode face tracking

Soliton Models for the Nucleon and Predictions for the Nucleon Spin Structure

In these lectures the three flavor soliton approach for baryons is reviewed. Effects of flavor symmetry breaking in the baryon wave--functions on axial current matrix elements are discussed. A bosonized chiral quark model is considered to outline the computation of spin dependent nucleon structure functions in the soliton picture.Comment: 12 pages, Lectures presented at the Advanced Study Institute Symmetry and Spin, Prague, 2001, to appear in the proceedings. References correcte

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance.

Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Pengembangan Aplikasi E-Report Layanan Masyarakat Untuk Manado Smart City

. Pengembangan Aplikasi E-Report Layanan Masyarakat Untuk Manado Smart City dibangun untuk memudahkan partisipasi masyarakat dalam melaporkan suatu kejadian yang terjadi di lingkungan Kota Manado. Aplikasi ini dibuat untuk menjadi sarana informasi yang cepat dan efektif antara masyarakat dengan pemerintah. Adapun Rapid Application Development sebagai metode pengembangan perangkat lunak yang digunakan, dengan menekan waktu lebih cepat, terlibat user ekstensif dan iterative (berulang). Tools yang digunakan untuk membangun aplikasi ini yaitu menggunakan diagram UML sebagai desain modelling serta Ionic Framework sebagai platform untuk membangun aplikasi tersebut. Aplikasi ini menghasilkan 6 kategori pelaporan yaitu Kebakaran, Kemacetan, Kriminalitas, Kecelakaan, Infrastruktur Rusak serta Bencana Alam