Rancang Bangun Animasi 3 Dimensi Penyebab Kecelakaan Lalu Lintas (Studi Kasus: Polres Bolaang Mongondow)

Kabupaten Bolaang Mongondow memilikitingkat kecelakaan lalu lintas yang cukup tinggi tiap tahunya, menurut data penyebab kecelakaan lalu lintasyang diperoleh dari satuan lalu lintas Polres Bolaang Mongondow, pada bulan januari 2015 sampai agustus 2015, sudah terjadi 301 kasus kejadian kecelakaan lalu lintas yang di sebabkan oleh pengemudi yang lengah atau kurang berkonsentrasi saat sedang mengemudi. Melakukan aktivitas seperti menggunakan HP (handphone), mengambil makanan/minuman, dan mengobrol saat sedang mengemudi adalah faktor utama yang menyebabkan pengemudi lengah atau kurang berkonsentrasi. Animasi 3D merupakan animasi yang berwujud tiga dimensi meskipun bukan dalam bentuk 3D yang sebenarnya, yaitu bukan fisiknya, namun dalam wujud 3D dalam layar kaca 2D. Tidak seperti animasi 2D yang memiliki dimensi panjang X dan lebar Y, animasi 3D selain memiliki ke dua dimensi tersbut juga memiliki dimensi kedalaman Z.Tujuan dari penelitian ini adalah untuk membuat video animasi 3 dimensi penyebab kecelakaan lalu lintas sebagai sarana informasi untuk masyarakat tentangbahaya melakukan aktivitas seperti menggunakan HP (handphone), mengambil minuman/makanan, dan mengobrol saat sedang mengemudi yang dapat menyebabkan pengemudi lengah, dan berakibat padakecelakaan lalu lintas. Pembuatan video animasi 3 dimensi ini, dimulai dengan tahap pengumpulan data, penentuan ide dan tema, desain karakter hingga perancangan storyboard. setelah itudilakukan proses modelling, texturing, rigging animating,3d visual effects, lighting hingga tahap rendering, dengan menggunakan aplikasi Blender dan Makehuman yang kemudian menghasilkan beberapa potongan-potongan video animasi 3 dimensi. Setelah proses rendering selesai, tahap selanjutnya adalah final editing, dimana semua hasil video animasi 3 dimensi yang telah selesai dibuat sebelumnya pada aplikasi blender, akan disatukan dan diberikan teks, gambar, efek transisi, serta audio dengan menggunkaan aplikasi corel video studio pro x6. Tahap terakhir adalah final rendering yang menghasilkan video animasi 3 dimensi secara keseluruhan dengan format file MP4, durasi 5 menit 53 detik, beresolusi 1920x1080 pixel dan ukuran file 423 MB

Animasi 3 Dimensi Penyakit Jantung Koroner Pada Manusia

Penyakit Jantung Koroner merupakan penyakit yang sangat ditakutkan oleh banyak orang. Gelaja dan penyebabnya sampai sekarang masih sulit dideteksi dan didiagnosa. Informasi dan pengetahuan tentang penyakit jantung koroner, gelaja, penyebab, cara pencegahan dan pengobatan masih terbatas. Kurangnya pengetahuan dari masyarakat membutuhkan pengetahuan, informasi dan sistem pembelajaran tentang penyakit jantung koroner dalam bentuk video animasi 3 dimensi.Pada pembuatan video animasi 3 dimensi ini, proses dimulai dengan menentukan ide dan tema, studi literatur, mengumpulkan data sehingga merancang storyboard. Setelah itu melakukan proses modeling, teksturing, riging, animating camera operation, hingga dapat direndering dengan menggunakan aplikasi blender dan makehuman, untuk kemudian menjadi bagian-bagian adegan dari video animasi 3 dimensi. Setelah proses pembuatan adegan selesai, maka dilanjutkan proses penggabungan adegan yang telah dibuat di aplikasi blender dan penambahan teks serta audio menggunakan aplikasi Wondershare Filmora dan Audacity. Tahap terakhir adalah proses final rendering yang menghasilkan video animasi 3 dimensi secara keseluruhan menjadi format file.mp4 beresolusi 720x576 pixel berdurasi 5 menit 55 detik dan ukuran file 163 M

The Chicago Fed DSGE Model

The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the Federal Reserve Bank of Chicago. This article describes its specification and estimation, its dynamic characteristics and how it is used to forecast the US economy. In many respects the model resembles other medium scale New Keynesian frameworks, but there are several features which distinguish it: the monetary policy rule includes forward guidance, productivity is driven by neutral and investment specific technical change, multiple price indices identify in ation and there is a financial accelerator mechanism

Memory with memory in genetic programming

We introduce Memory with Memory Genetic Programming (MwM-GP), where we use soft assignments and soft return operations. Instead of having the new value completely overwrite the old value of registers or memory, soft assignments combine such values. Similarly, in soft return operations the value of a function node is a blend between the result of a calculation and previously returned results. In extensive empirical tests, MwM-GP almost always does as well as traditional GP, while significantly outperforming it in several cases. MwM-GP also tends to be far more consistent than traditional GP. The data suggest that MwM-GP works by successively refining an approximate solution to the target problem and that it is much less likely to have truly ineffective code. MwM-GP can continue to improve over time, but it is less likely to get the sort of exact solution that one might find with traditional GP

Immunotherapy with an HIV-DNA Vaccine in Children and Adults

Therapeutic HIV immunization is intended to induce new HIV-specific cellular immune responses and to reduce viral load, possibly permitting extended periods without antiretroviral drugs. A multigene, multi-subtype A, B, C HIV-DNA vaccine (HIVIS) has been used in clinical trials in both children and adults with the aim of improving and broadening the infected individuals’ immune responses. Despite the different country locations, different regimens and the necessary variations in assays performed, this is, to our knowledge, the first attempt to compare children’s and adults’ responses to a particular HIV vaccine. Ten vertically HIV-infected children aged 4–16 years were immunized during antiretroviral therapy (ART). Another ten children were blindly recruited as controls. Both groups continued their antiretroviral treatment during and after vaccinations. Twelve chronically HIV-infected adults were vaccinated, followed by repeated structured therapy interruptions (STI) of their antiretroviral treatment. The adult group included four controls, receiving placebo vaccinations. The HIV-DNA vaccine was generally well tolerated, and no serious adverse events were registered in any group. In the HIV-infected children, an increased specific immune response to Gag and RT proteins was detected by antigen-specific lymphoproliferation. Moreover, the frequency of HIV-specific CD8+ T-cell lymphocytes releasing perforin was significantly higher in the vaccinees than the controls. In the HIV-infected adults, increased CD8+ T-cell responses to Gag, RT and viral protease peptides were detected. No augmentation of HIV-specific lymphoproliferative responses were detected in adults after vaccination. In conclusion, the HIV-DNA vaccine can elicit new HIV-specific cellular immune responses, particularly to Gag antigens, in both HIV-infected children and adults. Vaccinated children mounted transient new HIV-specific immune responses, including both CD4+ T-cell lymphoproliferation and late CD8+ T-cell responses. In the adult cohort, primarily CD8+ T-cell responses related to MHC class I alleles were noted. However, no clinical benefits with respect to viral load reduction were ascribable to the vaccinations alone. No severe adverse effects related to the vaccine were found in either cohort, and no virological failures or drug resistances were detected

A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models

The use of mixed frequency data is now common in many applications, ranging from the analysis of high frequency financial time series to large cross-sections of macroeconomic time series. In this article, we show how state space methods can easily facilitate both estimation and inference in these settings. After presenting a unified treatment of the state space approach to mixed frequency data modeling, we provide a series of applications to demonstrate how our MATLAB toolbox can make the estimation and post-processing of these models straightforward