In this paper, we present a new sliding window based local thresholding technique ‘NICK’ and give a detailed comparison of some existing sliding-window based thresholding algorithms with our method. The proposed method aims at achieving better binarization results, specifically, for ancient document images. NICK has been inspired from the Niblack’s binarization method and exhibits its robustnes...

This paper proposes an alternative data envelopment analysis for assessing the operational performance of 46 international tourist hotels (ITHs) in Taiwan over the period 1997-2002. This study is the first research that combines the discriminant power of a slack-based measure and the dynamic view of window analysis in applying DEA. It is shown that the trend of mean managerial efficiency is inc...

The SOVA and the log-MAP are commonly used in turbo decoding. In this paper, we propose to modify the sliding window MAP-algorithm in [5] to reduce the computational delay even further. We compare the simulation performance of this low latency log-MAP algorithm with the sliding window log-MAP. We also estimate the VLSI implementation complexities of the SOVA, the log-MAP and the proposed low la...

nowadays, new technologies have changed the methods of serving customers in many service organizations. service in the banking industry has been influenced by international communication technology (ict) developments in essential ways. nowadays the importance of websites and their unique features in provision of services to customers is increasing. however, traditional methods of banking with d...

Sustainable development is the result of fundamental changes in social, economic and cultural elements which will guide itself through cyberspace So that tomorrow man will direct most of his social and economic activities through cyberspace using human beings and there will be no need for people to be present in the field of economic and social interactions, among which banks have been in line ...

Mining frequent patterns over data streams is an interesting problem due to its wide application area. In this study, a novel method for sliding window frequent patterns mining over data streams is proposed. This method utilizes a compressed and memory efficient tree data structure to store and to maintain sliding window transactions. The method dynamically reconstructs and compresses tree data...

Counting the number of distinct elements in a data stream (distinct counting) is a fundamental aggregation task in database query processing, query optimization, and network monitoring. On a stream of elements, it is commonly needed to compute an aggregate over only the most recent elements, leading to the problem of distinct counting over a “sliding window” of the stream. We present a detailed...

SUMMARY A Perl utility called SCANMS was written that operates on parametric bootstrap data generated by Hudson's simulator MS. SCANMS simulates sliding window analysis of Tajima's D or Fu and Li's D(*) or F(*) over the replicates and generates the empirical joint distribution of window minima and maxima. This distribution may then be used to calculate achieved significance values or significan...

A popular method of bounding the memory requirements of queries over data streamsis to use a sliding window, where old data are continuously removed as new data arrive.One problem that has not been addressed previously concerns indexing the results of slidingwindow queries. This is a noteworthy problem because data stream systems often materializecommon sub-expressions or final ...