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1
Content available remote The Intrinsic Complexity of Learning: A Survey
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The theory of learning in the limit has been a focus of study by several researchers over the last three decades. There have been several suggestions on how to measure the complexity or hardness of learning. In this paper we survey the work done in one specific such measure, called intrinsic complexity of learning. We will be mostly concentrating on learning languages, with only a brief look at function learning.
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In the present study, we have investigated entropy generation on a magnetohydrodynamic fluid flow and heat transfer over a stretching cylinder with a porous medium in slip flow regime. A uniform heat source and radiation is also considered. Similarity transformation has been applied for making an ordinary differential equation from nonlinear governing partial differential equations. The numerical solution for the set of nonlinear ordinary differential equations has been obtained by using the fourth-order Runge-Kutta scheme together with the shooting method. The effects of pertinent parameters such as the magnetic field parameter, permeability parameter, slip parameter, Prandtl number and radiation parameter on the fluid velocity distribution, temperature distribution, entropy generation and Bejan number are discussed graphically.
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Content available remote Common fixed point theorems for three expansive self-maps in D-metric spaces
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B. Singh and R. K. Sharma [Demonstratio Math. Vol. 36, No.l (2003), 215-220] have proved two common fixed point theorems for two self-maps satisfying an expansive condition in D- metric spaces. This note offers generalization for these theorems for three self-maps using weak- compatibility and reduces the domain of z to an orbit only. The last theorem proves that the continuity of none of two or three maps is required in the setting of D- metric space.
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Content available remote Motion-compensated block-based approach towards video fade detection
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Due to the widespread application of video shot detection in various video processing applications, an accurate shot boundary detection techniques have become an important research topic in the last decade. The video shot can be abrupt one due to camera break or gradual change caused by adding editing effects like fades, dissolves, wipes and morphs. The abrupt shot detection is simple one but detection of gradual change algorithms still not gain the required accuracy. To solve the problem of achieving accurate results to some extent in presence of object and camera motion, we propose a motion compensated blockbased approach specially designed for fade type of gradual change detection.
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Content available remote Cone 2-metric space and Fixed point theorem of contractive mappings
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In this paper we introduce cone 2-metric space and prove some fixed point theorems of a contractive mapping on a cone 2-metric spaces.
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A sensitive validated high-performance liquid-chromatographic method for analysis of cilostazol in human plasma (in vitro) has been developed, and it was applied to determine pharmacokinetics of cilostazol in male albino rabbit. Cilostazol was extracted from human plasma (in vitro) by acetonitrile, and efficient chromatographic elution was achieved on a C18 column (250 × 4.60 mm i.d., 0.5 μm particle size) with an isocratic mobile phase [acetonitrile-50 mM acetate buffer (pH 5.0, glacial acetic acid)-water (50:20:30)] at flow rate of 1.5 mL min−1. Quantification was carried out by photo-diode array (PDA) detection at 248 nm. The linearity of the method was excellent over the range 0.2–2 μg mL-1 with low limits of detection (0.005 μg mL-1) and quantification (0.05 μg mL-1). The extraction recovery of the drug from plasma was consistently good (73.45–78.64%), with low relative standard deviation (0.44–1.65%). Robustness studies confirmed that peak area was unaffected by small changes in temperature, mobile phase (composition and pH). The maximum concentration (Cmax) in rabbit (in vivo) was determined 1.620 μg mL-1 at tmax (0.51 h) with 0.63% RSD by validated bioanalytical method.
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Digital system algorithms such as FFT algorithms, convolution, image processing algorithm, etc. deploy Multiply and Accumulate (MAC) unit as an evaluative component. The efficiency of a MAC typically relies on the speed of operation, power dissipation, and chip area along with the complexity level of the circuit. In this research paper, a power-delay-efficient signed-floating-point MAC (SFMAC) is proposed using Universal Compressor based Multiplier (UCM). Instead of having a complex design architecture, a simple multiplexer-based circuit is used to achieve a signed-floating output. The 8x8 SFMAC can take 8-bit mantissa and 3-bit exponent and therefore, the input to the SFMAC can be in the range of – (7.96875)10 to +(7.96875)10. The design and implementation of the proposed architecture is executed on the Cadence Spectre tool in GPDK 90 nm and TSMC 130 nm CMOS, which proves as power and delay efficient.
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In continuation of our previous work, the current study explores an environmentally benign approach for the control of Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) using a synergistic combination of α,bT-unsaturated carbonyl compounds (1a-1e; 2a-2i) and the natural products, neem oil (N1) and nicotinic acid (N2). Our approach also evaluates the insecticidal activity of 3-(5-chloro-1,3-diaryl-1H-pyrazol-4-yl)-1-arylprop-2-en-1-one(2j-2o) consisting of bioactive moieties, viz., chalcone and pyrazole, in a single molecular structure. Compounds 2l and 2o exhibited maximum activity with 58% and 50 % of mortality, respectively, under laboratory conditions. Among various test combinations, 2a-N2 showed maximum insecticidal activity, with 54% mortality, comparable to that of the most active newly synthesized compound, 2l, followed by 1c-N1 and 2g-N2 with 52% mortality. The compound 2a was also found to be non-toxic to potato tuber used as a plant substrate in the current investigation.
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In this research work, neural network based single loop and cascaded control strategies, based on Feed Forward Neural Network trained with Back Propagation (FBPNN) algorithm is carried out to control the product composition of reactive distillation. The FBPNN is modified using the steepest descent method. This modification is suggested for optimization of error function. The weights connecting the input and hidden layer, hidden and output layer is optimized using steepest descent method which causes minimization of mean square error and hence improves the response of the system. FBPNN, as the inferential soft sensor is used for composition estimation of reactive distillation using temperature as a secondary process variable. The optimized temperature profile of the reactive distillation is selected as input to the neural network. Reboiler heat duty is selected as a manipulating variable in case of single loop control strategy while the bottom stage temperature T9 is selected as a manipulating variable for cascaded control strategy. It has been observed that modified FBPNN gives minimum mean square error. It has also been observed from the results that cascaded control structure gives improved dynamic response as compared to the single loop control strategy.
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Content available remote Prescribed Learning of Indexed Families
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This work extends studies of Angluin, Lange and Zeugmann on how learnability of a language class depends on the hypothesis space used by the learner. While previous studies mainly focused on the case where the learner chooses a particular hypothesis space, the goal of this work is to investigate the case where the learner has to cope with all possible hypothesis spaces. In that sense, the present work combines the approach of Angluin, Lange and Zeugmann with the question of how a learner can be synthesized. The investigation for the case of uniformly r.e. classes has been done by Jain, Stephan and Ye [6]. This paper investigates the case for indexed families and gives a special attention to the notions of conservative and non U-shaped learning.
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The paper proposes a novel process integration for biodiesel blend in the Membrane assisted Reactive Divided Wall Distillation (MRDW) column. Biodiesel is a green fuel and grade of biodiesel blend is B20 (%) which consist of 20% biodiesel and rest 80% commercial diesel. Instead of commercial diesel, Tertiary Amyl Ethyl Ether (TAEE) was used as an environment friendly fuel for blending biodiesel. Biodiesel and TAEE were synthesized in a pilot scale reactive distillation column. Dual reactive distillation and MRDW were simulated using aspen plus. B20 (%) limit calculation was performed using feed flow rates of both TAEE and biodiesel. MRDW was compared with dual reactive distillation column and it was observed that MRDW is comparatively cost effective and suitable in terms of improved heat integration and flow pattern.
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The burning rate of a solid composite propellant is one of its most important ballistic properties. To achieve a specified burning rate, transition metal oxides are used as burning rate modifiers. However, addition of transition metal oxides creates inertness in the composition. To avoid such inertness, an attempt has been made to incorporate potassium perchlorate (KP) as a burning rate modifier by partially replacing ammonium perchlorate (AP), up to the 10% level, and the composition was then studied in detail for its mechanical, thermal and ballistic properties. The data revealed that no change occurred in the case of the mechanical properties, however, the thermal stability decreased as the KP content was increased. The burning rate data revealed that on incorporation of 10% KP, there was an enhancement in the burning rate of up to 35% in comparison to the original composite propellant formulation, but beyond this no enhancement in burning rate was observed, indicating that the optimum content for KP in the composition had been reached.
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Various propellant compositions were prepared incorporating fully characterized nano-sized manganese dioxide, from 0.25 wt.% to 1.0 wt.%, in HTPB/AP/Al-based composite propellant formulations having 86 wt.% of solid loading, and its effects on the viscosity build-up, thermal, mechanical and ballistic properties were studied. The findings revealed that on increasing the percentage of nano-MnO2 in the composition, there was an increase in the end of mix viscosity, the modulus and tensile strength, while the elongation decreased accordingly. The data on the thermal properties revealed a reduction in the decomposition temperature of ammonium perchlorate (AP) as well as of the formulations based on it. The data on the ballistic properties revealed that there is an enhancement in the burning rate from 6.11 mm/s (reference composition) to 7.54 mm/s at 6.86 MPa (a 23% enhancement in the burning rate) and an increase in the pressure exponent from 0.35 (reference composition) to 0.42 with 1.0 wt.% nano-MnO2.
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