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This work investigates to remove highly wandered path from ECG signal. In normal condition, ECG signal contains a very little amount of baseline wandering which can easily be removed by high pass filtering. On the other hand, acquired ECG signal during walking, running, push-up or pull-up the body contain different shapes of baseline wandering which cannot be possible to remove by conventional filtering concept. To meet the challenge, in this paper we have proposed a baseline wandering removal technique based on baseline wandering path finding (BWPF) algorithm. This BWPF algorithm works by piecewise polynomial fitting. In this paper, the impact of this algorithm on wandered ECG signal is discussed elaborately with graphical interpretations. In addition, it is also shown that why this algorithm works better than the conventional polynomial baseline wandering removing technique.

Business processes can benefit from the external knowledge widely available in the web in terms of open services. Traditional centralized approaches to services orchestration are subject to serious limitations for orchestrating processes with the wider range of open services. Dealing with these limitations calls for decentralized approaches. However, decentralized approaches are themselves faced with a number of challenges, including the possibility of loss of dynamic run-time states that are spread over the distributed environment. This paper presents a dynamic replication scheme for a decentralized orchestration approach, where a network of agents collectively orchestrate open services using continuation-passing messaging.

Now a days, a significant web based crisis are causing internet users to be attracted to visit the fake websites and thus being mistreated into providing with their confidential information to some malicious systems run by some malevolent parties. This type of fraud technique is defined as phishing. The resulted damage is ranged from denial of e-mail access to plenty of monetary losses. It has harmful impacts on e-commerce and online-banking badly. Phishing has become most popular practice among the web criminals and such attacks are becoming very much sophisticated and frequently on the rise as newer means and attacking vectors are adopted. Traditional anti-phishing tools try to mitigate the attacks partially. Most of the tools are focused on protecting users. This paper proposes a novel phishing detection approach by considering some attributes that are exploited to conduct attacks. The proposed method works both online and offline mode in a faster way reducing time and space overhead in comparison to existing dominant approaches.