We contribute a novel, ball-histogram approach to DNAbinding propensity prediction of proteins. Unlike state-of-the-art methods based on constructing an ad-hoc set of features describing the charged patches of the proteins, the ball-histogram technique enables a systematic, Monte-Carlo exploration of the spatial distribution of charged amino acids, capturing joint probabilities of specified ami...

three dimensional- high efficiency video coding (3D-HEVC) is the expanded version of the latest video compression standard, namely high efficiency video coding (HEVC), which is used to compress 3D videos. 3D videos include texture video and depth map. Since the statistical characteristics of depth maps are different from those of texture videos, new tools have been added to the HEVC standard fo...

As a key technique in network multimedia signal processing, video transcoding becomes a hot topic in recent years. This paper presents a fast intra mode decision scheme for down-sizing video transcoding in H.264 based on hybrid characteristic of multi-scale videos. In order to reduce the high computational complexity of using conventional intra prediction in the H.264 re-encoder, the proposed s...

Clustering categorical data is an integral part of data mining and has attracted much attention recently. In this paper, we present k-histogram, a new efficient algorithm for clustering categorical data. The k-histogram algorithm extends the k-means algorithm to categorical domain by replacing the means of clusters with histograms, and dynamically updates histograms in the clustering process. E...

Nowadays, with the increasing usage of IoT (Internet of Things) devices in daily lives, the data collected from those connected devices can help understanding user behaviours and delivering better services to individual users. In this thesis, we explored the device log data collected from connected air purifier devices to analyze usage behavior patterns. Further, we integrated the device log da...

Nowadays, with the increasing usage of IoT (Internet of Things) devices in daily lives, the data collected from those connected devices can help understanding user behaviours and delivering better services to individual users. In this thesis, we explored the device log data collected from connected air purifier devices to analyze usage behavior patterns. Further, we integrated the device log da...

An intra prediction method that uses neighbor pixels within current picture has been adopted for improving coding efficiency, but the intra prediction having a large number of prediction modes increases the implementation operation at the encoder side. In order to reduce the operation, we first investigate the usage distribution of the intra prediction modes according to the coded picture chara...

According to H.264 video coding standard, spatial prediction is used for intra block coding. The luma prediction may be based on 4×4 block, for which there are nine prediction modes, or 16×16 macroblock., for which four prediction modes. For chroma prediction, there are also four prediction modes. In this paper, a new method is proposed for improving the intra prediction algorithm, the first st...

Being reversible, the watermarking information embedded in audio signals can be extracted while the original audio data can achieve lossless recovery. Currently, the few reversible audio watermarking algorithms are confronted with following problems: relatively low SNR (signal-to-noise) of embedded audio; a large amount of auxiliary embedded location information; and the absence of accurate cap...

CoPreTHi is a Java based web application, which combines the results of methods that predict the location of transmembrane segments in protein sequences into a joint prediction histogram. Clearly, the joint prediction algorithm, produces superior quality results than individual prediction schemes. The program is available at http://o2.db.uoa.gr/CoPreTHi.