Judul: Feed Digestibility And Behavior Of Long-tailed Macacaque (M. fascicularis) In Temperature and Humidity Acclimation Condition
Abstrak: Penelitian ini bertujuan untuk mempelajari kecernaan pakan dan perilaku monyet ekor panjang pada kondisi dinamis dengan perbedaan pengaturan suhu dan kelembaban. Pada penelitian ini digunakan 10 monyet ekor panjang jantan berumur 4 hingga 5 tahun yang terdiri dari tiga tahapan kondisi suhu dan kelembaban ruangan yang berbeda, yaitu tahap adaptasi selama 7 hari (tanpa pengaturan suhu dan kelembaban), tahap aklimasi selama 14 hari (suhu 25oC dan kelembaban 78% rel.), dan tahap post-aklimasi selama 14 hari (tanpa pengaturan suhu dan kelembaban). Pengambilan sampel kecernaan pakan, bobot badan dan perilaku dilakukan pada hari ke-7 (tahap adaptasi), hari ke-10 dan ke-14 (tahap aklimasi), hari ke-28 dan ke-35 (post-aklimasi). Hasil yang diperoleh menunjukkan bahwa tidak ada perbedaan yang signifikan dari pengaturan suhu dan kelembaban ruangan terhadap kecernaan pakan dan perilaku monyet ekor panjang. Kondisi suhu dan kelembaban ruangan sebesar (25,79 ± 1,16)°C dan (80,19 ± 9,05)% rel. merupakan kondisi yang nyaman bagi hewan model monyet ekor panjang.
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Judul: Profil Nilai Kardiorespirasi dan Suhu Tubuh Monyet Ekor Panjang (Macaca fascicularis) Tersedasi pada Perbedaan Mikroklimat Ruangan
Abstrak: The aim of this research was to determine different cardiorespiration score and body temperature of sedated Macaca fascicularis in different microclimate condition (temperature & humidity). 10 heads of male Macaca fascicularis in age of 4 years old were placed in adaptation room with room temperature and humidity for seven days. Then Macaca fascicularis were conditioned in room temperature of 25°C for 14 days. For the last, Macaca fascicularis were conditioned in room temperature of 29°C for 14 days. Cardiorespiration data was taken on 1st, 7th, 14th, and 28th days. The result showed that Macaca fascicularis in sedated condition, the decreased of physiological parameter scorer were also influenced by its microclimate condition. Condition with microclimate Mt-25 (room temperature and humidity of 25,79 ± 1,16°C and 80,19 ± 9,05% rel) regarded as the most suitable condition for Macaca fascicularis in sedated condition. But both room conditions were not disturbing sedated Macaca fascicularis heart function. It could be proven by ECG profile which was in normal condition
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Judul: The Construction of Greedy SVP LLL Algorithm
Abstrak: A lattice is a set of all integer linear combination of a set of linearly independent vectors in ℝ𝑛���. The independent vectors are called bases of lattice. Any lattice can be generated from many bases, and these bases have the same cardinality. In the lattice, the most fundamental and renowned problem is the Shortest Vector Problem (SVP). SVP is a tracking problem of the shortest nonzero vector in a lattice with equivalent bases. In two dimensions, SVP problem has resolved exactly by Gauss’ algorithm. When the lattice dimension is higher than two, A.K. Lenstra, H.W. Lenstra and L. Lovasz gave a LLL algorithm to compute approximation of nonzero shortest vector in the lattice. Reduced bases solution obtained from LLL algorithm still be an approximation and has polynomial running time of arbitrary dimension which large enough. In 1994, Schnoor and Euchner modified this LLL algorithm as a new variant which later was named deep insertion LLL algorithm. This algorithm is a modified version of the LLL algorithm to the terms of the exchange step to improve the accuracy of output of LLL reduced bases and applying it to the subset sum problem. The purpose of this research are: (1) Reconstruct the LLL algorithm and deep insertion LLL algorithm using a geometric approach. (2) Construct a greedy SVP LLL algorithm. (3) Implement the three algorithms in a symbolic programming language, and evaluate them experimentally. A bases ℬ=[𝐛���1,𝐛���2,…,𝐛���𝑛���] in ℝ𝑚��� is called reduced LLL with parameter 𝛿��� if satisfies: (a) |𝜇���𝑗���𝑖���|≤12, for every integer 𝑖���,𝑗��� with 1≤𝑖���<𝑗���<𝑛���. (b)𝛿���‖𝜋���𝑗���(𝐛���𝑗���)‖2≤‖𝜋���𝑗���(𝐛���𝑗���+1)‖2, for 𝑗���=1,2,…,𝑛���−1,where 𝛿��� is a reduced parameter of real numbers with 14<𝛿���<1. The first requirement is the reduced basis 𝛿��� must “nearly orthogonal” and in its computation case, this requirement can be reached out by using the Gram-Schmidt’s orthogonalization. While the second requirement is called exchange step, or used to called as Lovasz condition. By using both of these requirements, then they establish the LLL algorithm. Then, Schnoor and Euchner modify the LLL algorithm based on the requirements of the exchange step called the deep insertion LLL algorithm, where the exchange step is based on the comparison of the projected vector in orthogonal complement [𝐛���1,𝐛���2,…,𝐛���𝑘���−1]⊥ after j-th reduction. To construct greedy SVP LLL algorithm, the requirements of the exchange step is based on purely by comparing norm of lattice 𝐛���𝑗��� with norm lattice 𝐛���𝑖��� for 𝑖���=1,2,3…,𝑗���−1. The process of insertion reduced vector after the exchange step also has done greedily. Then, we calculate the number of arithmetic operation in greedy SVP LLL algorithm for further analysis. The result of our exprimentation for three algorithms on the certain matrix size shows that the running time of the three algorithms increases propotional to the size of the matrix. The result also shows that by using 𝛿���=34 for the LLL algorithm and the deep insertion LLL algorithm, and the greedy SVP LLL algorithm which is a new variant made by using no parameter of 𝛿���, outperform of the other of two previous algorithm in terms of speed with the same output.
Keyword: LLL algorithm, LLL deep insertion algorithm, greedy SVP LLL algorithm