Recently, overlap frequency-domain equalization (FDE) based on minimum mean square error (MMSE) criterion which requires no guard interval (GI) insertion was proposed for signal transmission using multi-code direct sequence code division multiple access (DS-CDMA) in a frequency-selective fading channel. Another promising equalization technique is time-domain sliding-window chip equalization (SW...

Many serious accidents are reported about the manual window cleaning task, and it is needed to automate the task for the majority of windows having no special guide frames for window cleaning machines. This paper proposes a novel tethered window cleaning robot named a “SkyScraper-I” and discusses its design. The SkyScraper-I has the functions to approach all the windows located on one side of a...

An introduction to the theory of sliding window detection processes, used as alternatives to optimal Neyman-Pearson based radar detectors, is presented. Included is an outline of their historical development, together with an explanation for the resurgence of interest in such detectors for operation in modern maritime surveillance radar clutter. In particular, recent research has developed crit...

We consider the problem of resource sharing when processing large numbers of continuous queries. We specifically address sliding-window aggregates over data streams, an important class of continuous operators for which sharing has not been addressed. We present a suite of sharing techniques that cover a wide range of possible scenarios: different classes of aggregation functions (algebraic, dis...

Efficient full-text searching is a big challenge in Peer-to-Peer (P2P) system. Recently, Distributed Hash Table (DHT) becomes one of the reliable communication schemes for P2P. Some research efforts perform keyword searching and result intersection on DHT substrate. Two or more search requests must be issued for multi-keyword query. This article proposes a Sliding Window improved Multi-keyword ...

We present an on-the-fly abstraction technique for infinite-state continuous-time Markov chains. We consider Markov chains that are specified by a finite set of transition classes. Such models naturally represent biochemical reactions and therefore play an important role in the stochastic modeling of biological systems. We approximate the transient probability distributions at various time inst...

With the greater availability of genetic data, large genome-wide scans for positive selection increasingly incorporate data from a range of sources. These data sets may be derived from different sequencing methods, each of which has potential sources of error. Sequencing errors, compounded by alignment errors, greatly increase the number of false positives in tests for adaptive evolution. Genom...

Database management systems (DBMSs) have been used successfully in traditional business applications that require persistent data storage and an efficient querying mechanism. Typically, it is assumed that the data are static, unless explicitly modified or deleted by a user or application. Database queries are executed when issued and their answers reflect the current state of the data. However,...

We introduce a sliding window adaptive RLS-like algorithm for ltering-stable noise. Unless previously introduced stochastic gradient type algorithms, the new adaptation algorithm minimizes the L p norm of the error exactly in a sliding window of xed size. Therefore, it behaves much like the RLS algorithm in terms of convergence speed and computational complexity compared to previously introduce...

Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research criticized that discovering subsequence patterns in time series using clustering approaches is meaningless. It is due to the presence of trivial matched subsequences in the formation of the time series subsequences using sl...