Judul: Penentuan banyaknya submatriks ganjil berukuran 2×2 dari  matriks (0,1) melalui matriks Hadamardnya
Abstrak: Matriks (0,1) adalah matriks yang unsur-unsurnya hanya terdiri dari angka 0 dan 1. Dari matriks ini akan ditentukan banyaknya submatriks ganjil berukuran 2×2 . Istilah submatriks ganjil pertama kali diperkenalkan oleh Pinelis pada tahun 1994 dalam karyanya yang berjudul Designs, Codes, and Cryptography. Dalam karyanya tersebut, Pinelis menotasikan N sebagai banyaknya submatriks yang mungkin diperoleh dari matriks (0,1) dan E sebagai submatriks genapnya, sehingga banyaknya submatriks ganjil dapat diperoleh dengan mengurangkan N oleh E . Akan tetapi pada tahun 2003, Mark dkk. menemukan formula (teorema) yang dapat langsung digunakan untuk mencari sumatriks ganjil tanpa harus menentukan N dan E terlebih dahulu, melainkan melalui matriks Hadamardnya. Matriks Hadamard adalah matriks yang unsurunsurnya hanya memuat angka 1 dan -1 dan memiliki sifat AAT = nI dan AT A = nI . Banyaknya submatriks ganjil dari matriks (0,1) merupakan perkalian antara kombinasi pemilihan 2 baris dari m baris dengan banyaknya kolom yang unsur-unsurnya sama dan banyanya kolom yang unsurunsurnya tidak sama.
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Judul: Karakteristik matriks subnormal
Abstrak: Misalkan adalah ruang hasil kali dalam kompleks berdimensi n+k dan Wadalah subrang V berdimensi, di mana basis adalah perfuasan basis W. Misalkan T:WV adalah transformasi linear, maka terdapat matriks representasi M(A, B) untuk T. M(A, B) adalah matriks kompleks berukuran (n+k)xn dengan bentuk, M(A,B)= A B di mana A dan B berturut-turut adalah matriks kompleks berukuran nxn dan kxn. Pada tulisan ini diasumsikan A adalah matriks normal, yaitu jika memenuhi AA AA, dengan A didefinisikan sebagai AA Matriks M(A, B) berukuran (n+k)xn disebut subnormal jika memiliki perluasan normal, yaitu, jika terdapat matriks X dan Y sedemikian sehingga matriks BY yang berukuran (n+k) x(n+k) adalah normal [Insel, 1997]. Kesubnormalan matriks M(A, B) berhubungan dengan kekolinearan himpunan A(A; B) yang didefinisikan sebagai berikut: Λ(ΑΒ) = (λεσ(4) Bx0, untuk suatu xe E₁(A)}.
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Judul: Thermal Characteristics and Dynamics of Tropical Cyclone over Western North Pacific Ocean: A Case Study of Typhoon Songda (Chedeng) 2011
Abstrak: The frequent occasion of Tropical Cyclone (TC) over Western North Pacific (WNP) Ocean lies from 10˚N to 26˚N and 121˚E to 170˚E. Sources of TC development come from warm ocean temperature where latent heat is released during condensation processes and subsequently concentrated in the boundary layer. Relative humidity at 850-700 hPa is responsible to produce the most intense storm. Meanwhile, weak vertical wind shear between 850-200 hPa is one of the dynamical factors that lead to the development of TC. Pressure level of 850-200 hPa is chosen to minimize the thermodynamic effect in the lower troposphere. Typhoon Songda (Chedeng in the Philippines) or TSC lasted from May 18th to 30th, 2011 and strengthened into powerful Super Typhoon stage between May 24th and 27th. Long curving track and the exhibition of all sequences of TC life cycle, TSC is then considered as an ideal case of TC. The objective of the study with case of TSC is to investigate the role of thermal characteristics and dynamics on TC intensity. The research is carried out by using Advanced Research of Weather Research and Forecasting model (WRF ARW model) version 3.3. Two domains are employed in the model. The first domain situate from 02˚N to 40˚N and 118˚E to 149˚E and cover spatial resolution () of 33.1 km. The second domain situate from 09˚N to 27˚N and 119˚E to 132˚E with of 11 km. Timestep of the model () is 120 seconds. The model is supported by the following physical parameterization, i.e., Yonsei University Scheme (YSU) in the boundary layer, Kain-Fritsch scheme (KF) in the cumulus, and WRF Single-Moment 3-class scheme in the microphysics. Initial meteorological condition prior to the formation of the cyclone is generated using WRF ARW standard-release model. Sensitivity of the model output is obtained from a selected single-parameter change scenarios, namely, 10 % to 20 % decrease and increase of wind shear initial data at 850-200 hPa, and by 10 % to 20 % decrease of relative humidity initial data at 850-700 hPa. The result showed that the negative correlations between wind shear and intensity are found in wind shear scenarios. Wind shears of 10 ms-1 which lead to strengthening of the wind intensity in the early period of Typhoon development are found in wind shear scenarios. The effect of wind shear changes on wind intensity is statistically significant in the 20 % wind shear scenarios. During mature stage, weak wind intensity occurred when wind shear increase as given in the WRF standard-release and the 20 % decreasing scenario. Different situation is found in the 20 % increasing scenario where wind shear tend to weak and lead to strong wind intensity at this stage. Meanwhile, the reduction of moisture supply at 850-700 hPa resulting from 20 % decreasing relative humidity play a major role in the weakening of wind intensity and reduces mechanical energy of the cycle process as much as 300 J kg-1.
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