In recent years, the fringe projection profilometry (FPP) technique has shown great prospects in the field of dynamic 3D measurement of microscopic surface shape. However, under dynamic conditions, it is desirable to use fewer projected patterns to minimize the sensitivity to motion. The commonly used phase-shifting method needs at least three fringe patterns to retrieve the wrapped phase, which depends heavily on the high-speed hardware to alleviate the effect of motion. Besides, to achieve an unambiguous measurement, at least two wrapped phase maps are required to obtain the absolute phase map, resulting in six pattern projections. In this paper, we propose the marker-embedded Fourier transform profilometry (MEFTP), which extends the modified Fourier transform profilometry with two embedded markers suited to assist the phase-unwrapping process. Combining the embedded markers with temporal phase difference information, the absolute phase can be reliably reconstructed with only two projected patterns. Furthermore, since the phase information is only encoded within a single high-frequency fringe, MEFTP is more suitable for measuring fast-moving or surface-changing objects compared with the phase-shifting method. Experiments on both static and dynamic scenes are performed, verifying that our method can achieve an accurate and robust measurement of a vibrating diaphragm at the speed of 200 frames per second.
The process speed of network-based intrusion detection systems (NIDSs) is still low compared with the speed of networks. As a result, few NIDS is applicable in a high-speed network. A parallel NIDS for high-speed networks is presented in this paper. By dividing the overall traffic into small slices, several sensors can analyze the traffic concurrently and significantly increase the process speed. For most attacks, our partition algorithm ensures that a single slice contains all the evidence necessary to detect a specific attack, making sensor-to-sensor interaction unnecessary. Meanwhile, by making use of the character of the network traffic, the algorithm can also dynamically balance all sensors' loads. To keep the system as simple as possible, a specific sensor is used to detect the scan and the DoS attack. Although only one sensor is used for this kind of attacks, we argue that our system can still provide high process ability. . . .
a b s t r a c t a r t i c l e i n f o Available online xxxx JEL classification: G21 G14 G18 Keywords: Convertible bond announcement effect Financials RegulationWe focus on the stock price reaction to convertible bond offering made by financial institutions and find that the cumulative abnormal return over the three day interval around convertible bond issuance is 1.41 percentage higher than that for non-financial institutions. This result supports our hypothesis that since financials are heavily regulated, the market is less likely to assume that the issuance of convertible bond by financials signals information that are overvalued. Our results remain robust after controlling for a number of firm-, issue-, and marketspecific characteristics as well as the level of short selling pressure induced by convertible bond arbitrageurs.
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