2,345 research outputs found

    Extending the decomposition algorithm for support vector machines training

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    The Support Vector Machine (SVM) is found to de a capable learning machine. It has the ability to handle difficult pattern recognition tasks such as speech recognition, and has demonstrated reasonable performance. The formulation in a SVM is elegant in that it is simplified to a convex Quadratic IProgramming (QP) problem. Theoretically the training is guaranteed to converge to a global optimal. The training of SVM is not as straightforward as it seems. Numerical problems will cause the training to give non- optimal decision boundaries. Using a conventional optimizer to train SVM is not the ideal solution. One can design a dedicated optimizer that will take full advantage of the specific nature of the QP problem in SVM training. The decomposition algorithm developed by Osuna et al. (1997a) reduces the training cost to an acceptable level. In this paper we have analyzed and developed an extension to Osuna's method in order 110 achieve better performance. The modified method can be used to solve the training of practical SVMs, in which the training might not otherwise converge

    Long-term outcomes of acute myeloid leukemia in adults in Pakistan

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    Objective: To describe the long-term outcomes of Acute Myeloid Leukemia (AML) and to study clinico­pathological features at presentation, morphological subtypesand remission rates. Methods: Demographic information, response to therapy and survival of patients (\u3e14 years of age) admitted between January 1988 to August 1996 with acute myeloid leukaemia was retrieved and analysed. Results: Seventy-four patients were admitted with a diagnosis of AML during the study period. There were 43 males and 31 females. Age ranged between 15 and 70 years with a mean age of 38 years. The most common presenting feature was fever (67.5%) and the morphological subtype according to French-American-British Group (FAB) criteria was M4. Fifty-five patients received treatment and were evaluable for response and outcomes. Thirty-six (65.4%) patients had complete remission. Sixteen (29.1%) died during the first 28 days after starting induction chemotherapy. The median survival was 11 months. Six (11%) patients (4 females, 2 males) are surviving beyond 4 years (long-term survivors).Conclusion: Our study suggests that the long-term outcomes of adults with AML are comparable to what has been reported in the literature for patients who do not receive bone marrow transplants (JPMA 52:482;2002)

    Temperature influence on total volatile compounds (TVOCs) inside the car cabin of visible light transmittance

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    In the automotive industry indoor air quality or Vehicle Indoor Air Quality (VIAQ) are caused by various substances emitted from interior materials inside a vehicle. The volatile organic compounds (VOCs) are an example of emitted substances from the interior materials which is harmful to the human body. As stated by previous researches, there is a strong correlation between the total VOCs emission and interior temperature. This occurs due to the solar radiation through the back window glasses, windscreen and side window glasses. This trapped heat can accelerate the melting process of trim materials such as hard plastic and rubber, thus causing the emission of total VOCs (TVOCs). Therefore, reducing the percentage of visible light transmittance (VLT) will help to reduce radiation process. The aim of this study is to investigate the effect of VLT level on TVOCs emission in the vehicle cabin under static condition (parked and unventilated) and operating condition (driving and air-conditioned). For static condition the result shows that the TVOCs concentration linearly decreases whenever the percentage of VLT level decreases. However, for operating condition the percentage of VLT have less significance after 50 minutes driving time. In conclusion, the VLT levels have a strong relationship to the TVOCs concentration despite after a long driving time

    High-precision calculations of In I and Sn II atomic properties

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    We use all-order relativistic many-body perturbation theory to study 5s^2 nl configurations of In I and Sn II. Energies, E1-amplitudes, and hyperfine constants are calculated using all-order method, which accounts for single and double excitations of the Dirac-Fock wave functions.Comment: 10 pages, accepted to PRA; v2: Introduction changed, references adde

    Automated Tracing of I/O Stack

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    Directional felling within selective management system of Peninsular Malaysia: comparison between current and extended techniques

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    Directional felling has been implemented in Peninsular Malaysia as part of the Selective Management System (SMS) to obtain optimum yield from the forest resources while reducing damage to the environment and residual trees. Some questions regarding its effectiveness have been questioned a few times, resulting in a joint research project at Ulu Jelai Forest Reserve, Pahang, Malaysia to compare between the current directional felling technique and the new (extended) techniques, in terms of accuracy of tree felling, volume of felling logs, expected damage on residual trees, and time taken for tree felling. For this study, 38 trees were felled with the current and extended techniques. By using the extended technique, 91.3% of the trees were felled within the 0°-5° range, and 100% within the 0°-10° range, compared to 28.01% (within the 0°-5° range) using the current technique. The extended technique also recorded higher volume recovery (14% higher) and lower damage on the residual trees by almost 50%. However, the extended technique took longer time, i.e. 4.56 minutes per tree, as compared to 2.50 minutes. The main contributor to the difference is the presence of gauge cut in the extended technique. Generally, the studies suggest that the extended technique is preferred as it is safer to the feller and surrounding people, while reducing the collateral damage on the harvested trees, as well as the residual trees
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