Judul: Pengembangan Model Pendeteksian Ban Ganda (Dual Tire) Pada Kendaraan Truk Bergandar Dua Menggunakan Pengekstraksi Ciri 2D-PCA dan SVM Sebagai Pengklasifikasi
Abstrak: Two axles truck is devided into two types i.e truck that uses single tire and dual tires at its back wheels. The use of dual tires at a truck will influnce its classification, so that it is needed a system to detect the use of dual tires. In this study, we develop a model to detect the occurance of dual tires at a two axels truck by using two steps 2D-PCA technique as the feature extraction and SVM as the classifier. In the feature extraction steps by using 2D-PCA, we use the values of precentage 95 %, 90%, and 85 %. While SVM use linear kernel, quadratic, cubic and RBF (sigma = 1, 5, 8, 10, 20, 30). By using the scenario, we obtain 81 models. We performed two phases of testing. The first testing phase measures the accuracy of the detection process without sliding windows. The second testing phase use sliding windows to detect the occurance of dual tires in an image. For the first phase testing, we use a database that consists of 552 dual tires images and 1284 non dual tire images with 150 x 150 pixels, and for the second phase testing, we used 30 images with 640 x 480 pixels. Based on the first phase testing, we obtained 10 best models to be used for second phase testing. The two stage 2DPCA method successfully reduced the data from 22500 dimensions of image vector to 36. The two phases testing conducted showed that the best kernels for detecting dual tires using SVM is the quadratic and the RBF kernel with the best accuracy of 93.3%.
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Judul: Integrasi Metode Circle Hough Transform, 2DPCA dan Jaringan Syaraf Tiruan untuk Model Pengenalan Roda Kendaraan
Abstrak: Detection and recognition vehicles are important things in the transportation systems such as analysis traffic control and fees policy. In order to recognize the vehicle, it needs some features to recognize them such as shape, police number and wheel. This research using side view of vehicle image to recognize the vehicle from its wheels. The purpose of research is to build recognition model of wheel using Circle Hough Transform (CHT), 2DPCA and Artificial Neural Network. The CHT used to detect the circle of wheel in the image, 2DPCA for feature exctraction and Artificial Neural Network to recognize the wheels. The result of the research is the accuracy level of success and the error for wheel recognition. The error consist of two parts including the miss and the false alarm rate. In this research, the highest accuracy of success is 94,4% with 100 neuron in the hidden layer. Its also being tested data with noise and fake circle.
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Judul: Mercury Toxicity and It’s Effect on Histopathology Change of Nile Tilapia (Oreochromis niloticus).
Abstrak: Nile tilapia (Oreochromis niloticus) is one of fish species that oportunity to contaminated with mercury. The effects of pollutants can damage living organisms organs and can cause death. The effects caused mercury had acute or chronic character. The aims of this study are to determine threshold and acute toxicity of mercury chloride (HgCl2) of Nile tilapia (Oreochromis niloticus), to assess the effect of mercury chloride (HgCl2) on several biometric parameters (survival, growth rate of average daily weighted, liver condition, bile and reproductive variability of Nile tilapia (Oreochromis niloticus), assess the level of damage to the histological structure of the gills, liver and kidney of Nile tilapia (Oreochromis niloticus) caused mercury chloride (HgCl2) exposure. This study was conducted from February to June 2013. Nile Tilapia (Oreochromis niloticus) were used in this study were female with average weight 20 grams or 11-13 cm length range. Toxicant materials used in this study was mercury chloride (HgCl2). Fish were reared in each aquarium 60x40x30 containing 48 liters of water. This study consists of three stages: a preliminary test, acute test, and sub-chronic test. To determine the changes in biometric condition of tilapia approximated by measuring the survival rate (SR), the growth rate of average daily weight , the content of mercury in the fish organs, hepatosomatic index (HSI), the relative bile volume (VER), gonadal soamtic index (IKG), fecundity and oocit diameter, tissue damage caused by mercury in fish organs by making histological preparations stained with hematoxylin and eosin. The median lethal concentration (96 hr, LC50) of Mercury Chloride was calculated as 1,64 mgL--1.The survival rate was highest in the control treatment (46,67 %) . Mercury chloride with concentration 0.196 mgL--1 show significant effect to changes HSI and relative bile volume, and oocyte diameter of Nile tilapia (p < 0,05). Mercury chloride with a concentration of 0,164 mgL-1 and 0,196 mgL-1 have not a significant effect on the growth rate of weight, gonadal somatic index and fecundity of Nile tilapia (p > 0,05). Mercury chloride cause damage to gills (hyperplasia, hypertrophy, proliferation and neukrosis), liver (hyperplasia, hemorhage, shrinkage of hepatocytes, proliferation and neukrosis) and kidney (hyperplasia, hemorrhage, shrinkage of the glomerulus, proliferation and neukrosis).
Keyword: Nile tilapia, Hepatosomatic indexs (HSI), histopathology