Microwave Synthesized Mesoporous Vanadium-MFI Catalysts for Epoxidation of Styrene Using Molecular Oxygen

Carbon templated mesoporous vanadium MFI catalysts with different Si/V ratios were successfully synthesized using microwave irradiation. X-ray diffraction studies revealed the formation of more crystalline MFI structures. SEM and TEM imaging also showed well ordered zeolite single crystals having mesoporosity. The N₂ sorption isotherm showed the formation of bimodal mesoporous zeolites. FT-IR studies showed absorbance around 970 cm^?1 corresponding to Si–O–V stretching vibration and the UV–Vis studies revealed strong peaks in the range of 230–340 nm which is related to the presence of tetrahedral V⁵⁺ state. The catalytic activity of the microwave synthesized catalysts was evaluated for epoxidation of styrene using molecular oxygen. The catalysts exhibited 20–40% styrene conversion with 60–75% epoxide selectivity. With increasing Vanadium content, the conversion as well as the selectivity was observed to increase. The catalyst could be recycled for three cycles without a loss in activity.     

Optimization of ballast plan in launch jacket load-out

The calculation of ballast plan in load-out operations is generally performed assuming a rigid barge. This assumption may not be reliable since in reality the barge is flexible. Having incorrect ballast plan may lead to overstressing of the loaded-out structure. We present a method of finding a more accurate ballast plan, taking into account the flexibility of the barge. This method makes use of a multi-objective evolutionary algorithm to find the optimum ballast arrangement at every load-out stage. We model the load-out configuration as a beam on elastic foundation, loaded with distributed trapezoidal loading representing the load from the structure. Minimizing deflection and curvature of the beam, as well as maximizing the ballast transfer efficiency between the load-out stages are chosen as the objectives of the algorithm. It is shown that the proposed method is better than the conventional rigid barge method in terms of minimizing the deflection and curvature as well as maximizing the ballast transfer efficiency.     

电解还原制备U(Ⅳ)过程中的阳极材料腐蚀研究

用间歇电解还原法研究了在有机玻璃电解槽中阳极镀铂钛网在ＵＯ２（ＮＯ３）２－ＨＮＯ３－Ｎ２Ｈ５ＮＯ３－Ｈ２Ｏ体系中的耐腐蚀情况。研究结果表明：在无隔膜电解还原时，镀铂钛网上的Ｐｔ的腐蚀速率极低（＜２．５×１０－２μｍ／ａ），而在以阳离子交换膜作隔膜的电解还原中，镀铂钛网上的Ｐｔ有明显的腐蚀，其腐蚀速率为５．７μｍ／ａ。对这两种情况下Ｐｔ的腐蚀速率明显差别的原因进行了分析讨论。     

Improved Related-key Attacks on DESX and DESX+

Abstract

In this article, we present improved related-key attacks on the original DESX, and DESX+, a variant of the DESX with its pre- and post-whitening XOR operations replaced with addition modulo 2⁶⁴. Compared to previous results, our attack on DESX has reduced text complexity, while our best attack on DESX+ eliminates the memory requirements at the same processing complexity.     

The convergence of functions to fixedpoints of recursive definitions

The classical method for constructing the least fixedpoint of a recursive definition is to generate a sequence of functions whose initial element is the totally undefined function and which converges to the desired least fixedpoint. This method, due to Kleene, cannot be generalized to allow the construction of other fixedpoints. In this paper we present an alternate definition of convergence and a new fixedpoint access method of generating sequences of functions for a given recursive definition. The initial function of the sequence can be an arbitrary function, and the sequence will always converge to a fixedpoint that is “close” to the initial function. This defines a monotonic mapping from the set of partial functions onto the set of all fixedpoints of the given recursive definition.     

Single image face orientation and gaze detection

We introduce a system to compute both head orientation and gaze detection from a single image. The system uses a camera with fixed parameters and requires no user calibration. Our approach to head orientation is based on a geometrical model of the human face, and is derived form morphological and physiological data. Eye gaze detection is based on a geometrical model of the human eye. Two new algorithms are introduced that require either two or three feature points to be extracted from each image. Our algorithms are robust and run in real-time on a typical PC, which makes our system useful for a large variety of needs, from driver attention monitoring to machine-human interaction.