Identification of seismic events from continuously recorded seismic data in real-time through a Digital Seismic Data Recording system is a difficult task. Despite the vast amount of research in this field, the signal processing and event parameters discrimination algorithms have not yet fully come of age. Presently, we have a wide spectrum of trigger algorithms, ranging from a very simple amplitude threshold type to the sophisticated ones based on pattern recognition approaches. Some of the other approaches use adaptive technique and neural network methods. Researchers are continuously making efforts for the development of algorithms using various techniques, which produce minimum false trigger. Some approaches have been reported which are accurate for detecting first phase of events and take minimum possible computational time. In this paper several approaches for detecting event signals in background noise are presented and their precision evaluation is discussed.
With the explosive growth of internet technology, many innovative web applications have been launched. For designing web applications Java has become a very popular programming language. Java bytecode technique makes it with high portability. However, it also poses large dangers to malicious users. Many techniques have been proposed for software copyright protection. They are useful for stand-alone Java applications. Due to special characteristics of Java web applications, copyright protection faces new challenge. In this paper, a copyright protection scheme for browser based Java applications have been introduced. The core of this scheme is a software watermarking algorithm. Code tamper-proofing and code obfuscation are also applied to watermarked Java code for better protection. The experimental results demonstrate the feasibility of the scheme.
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