Judul: Image Searching Using Heuristic Method for Image Retrieval System.
Abstrak: The development of image retrieval system and user demand for a fast and accurate search engine motivates research on finding efficient retrieval methods. Commonly, image searching process works through computing and comparing similarity value between input query and entire database images. This process is not efficient due to time-wasting during computation especially for large database. This research proposes heuristic method for image searching. The basic idea of this research deals with structural database content that reduces searching time. This research implements fitness landscape model. Fitness landscape is kind of directed graph whose labeled vertices and edges. Each node represents an image and each edge represents distance or similarity value of a node to other connected nodes. Similarity value between nodes are computed using combination of three image features, those are color, shape, and texture. Heuristic algorithm moves on these nodes with Breadth-First Search mechanism under certain constraints. Each visited node that fulfills the requirement will be retrieved as searching result. This retrieval result is then evaluated using recall precision parameter to get value of searching effectiveness. This experiment also computes retrieval time for each query. As the result, heuristic method obtains average retrieval time up to nine times faster compared with the non-heuristic one. Hence, this proposed method is promising to be used in image retrieval system because it provides fast image searching. Keywords: image searching, fitness landscape, heuristic, content based image retrieval.
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Judul: Algoritme Genetika untuk Optimasi Pembobotan Fitur pada Temu Kembali Citra
Abstrak: Content based image retrieval is developed to retrieve image based on color, shape, and texture feature. One of the problems to be solved in content based image retrieval is how to combine these features to get the optimum retrieval result. Combining multiple features in image retrieval process can be implemented using feature weight assignment. One of feature weight assignment methods is each feature weight is assigned by hand. However this approach is subjective and lack of theory foundation. In this research an automatic feature weight assignment approach based on genetic algorithm is proposed. Genetic algorithm is used for optimizing feature weight in order to get the optimum retrieval result. Image features is used in this research are color, shape, and texture feature. In genetic algorithm, a chromosom represented by features weight. These chromosomes get into genetic operator process such as selection, crossover, and mutation until maximum generation is reached. Result of genetic algorithm process get an optimum feature weight. It used for image retrieval process. The retrieval evaluation used recall precision graphic. The experiment showed feature weight assignment based on genetic algorithm can improve average precision in image retrieval.
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Judul: Diare pada anak sapi akibat infeksi virus corona bovine
Abstrak: Melihat tingginya mortalitas anak sapi yang berumur kurang dari tiga bulan di Indonesia mencapai 20 %, perlu kiranya mempelajari sebab-sebab kematiannya. Diare sering mengakibatkan kematian pada anak sapi yang baru lahir, salah satu sebab diare adalah infeksi virus Corona Bovine. Kasus diare oleh virus Corona Bovine (VCB) belum pernah dilaporkan di Indonesia, meskipun demikian kita harus was- pada terhadap sapi-sapi import. Virus Corona Bovine (VCB) mempunyai 6 karakteristik yaitu 1. Struktur permukaannya mempunyai paku-paku tegak lurus; 2. Ukuran besar 120 nm; 3. Berat jenis 1,18 gr/ml; 4. Replikasi dalam kantung sitoplasma; 5. Mempunyai inti RNA; 6. Mempunyai amplop yang mengandung lemak. VCB banyak menyerang anak sapi umur 5-21 hari dan ditularkan melalui feses, oleh hewan sakit atau hewan carier juga alat-alat yang terkontaminasi feses. Masa inkubasinya 19-24 jam dengan morbiditas dan mortalitas masing-masing mencapai 100% dan 30%, sehingga kerugian ekonomi yang disebabkan oleh infeksi VCB cukup berarti bagi suatu usaha peternakan sapi. Target organ VCB adalah villi usus halus dan usus besar, yang mengakibatkan atropy villi, malabsorpsi dan dehidratasi. ...
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