DINAMIKA PERKEMBANGAN HIV/AIDS DI SULAWESI UTARA MENGGUNAKAN MODEL PERSAMAAN DIFERENSIAL NONLINEAR SIR (SUSCEPTIBLE, INFECTIOUS AND RECOVERED) ABSTRAK Telah dilakukan penelitian untuk mengetahui dinamika perkembangan HIV/AIDS di Sulawesi Utara menggunakan model persamaan diferensial nonlinear SIR. Data yang digunakan adalah data jumlah penderita HIV/AIDS dan jumlah penduduk di Sulawesi Utara tahun 2007-2008 dari Badan Pusat Statistik dan Dinas Kesehatan Provinsi Sulawesi Utara. Hasil analisis kestabilan berdasarkan nilai eigen matriks Jacobi memperoleh satu titik tetap bebas penyakit yaitu yang bersifat semi stabil karena fenomena ambang batas dengan nilai-nilai eigen dan . Bilangan reproduksi dasar penyakit HIV/AIDS di Sulut sebesar 4,155. Hasil ini menunjukkan bahwa akan terjadi epidemi penyakit HIV/AIDS dalam kurun waktu hingga 100 tahun ke depan. Kata kunci : Bilangan Reproduksi Dasar, HIV/AIDS, Kestabilan, Model SIR
Detection and localization of the dents on a vehicle body that occurs during manufacturing is critical to achieve the appearance quality of a new vehicle. This study proposes a region-based convolutional neural network (R-CNN) to detect and localize dents for a vehicle body inspection. For a better feature extraction, this study employed a lighting system, which can highlight dents on an image by projecting the Mach bands (bright-dark stripes). The R-CNN was trained using the highlighted images by the Mach bands, and heat-maps were prepared with the classification scores estimated from the R-CNN to localize dents. This study applied the proposed R-CNN to the inspection of dents on the surface of a car body and quantitatively analyzed its performances. The detection accuracy of the dents was 98.5% for the testing data set, and mean absolute error between the actual dents and estimated dents were 13.7 pixels, which were close to one another. The proposed R-CNN could be applied to detect and localize surface dents during the manufacture of vehicle bodies in the automobile industry.
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