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The field of character recognition has attracted more concentration of researchers for recognizing text from ancient documents. But because of some of the problems like error in recognition in text lines, overlapped characters, joined text line, ages, damage in text lines it is becoming more challenging for them to recognize the text. However, Most of devnagari handwritten ancient documents are not...
It is important to characterize the noise accurately before including its structure in the formulations of algorithms. The distribution suggested in this paper is suitable for the ambient noise having kurtosis between 2.30 and 3. The ambient noise having low kurtosis is mainly dominated by shipping traffic which is having low frequency range.
This paper deals with interactive distributed detection with conditionally independent observations where the fusion center may exchange information with a local sensor. Using a two sensor system, we demonstrate that this two-way interaction provides improvement in detection performance compared with the classical tandem detection system where only one-way communication is allowed. An important observation...
Cloud based systems(CBSs) are increasing in the computing world. These systems derive their complexity due to both the disparate components and the diverse stake holders involved in them. The component wise security alone does not solve the problem of securing CBSs, but the stakeholder's computational space spanning across many components of the CBS, needs to be secured too. There have been initial...
Event-triggered and self-triggered control, in which the time of update to the controls is based on either current or outdated sampled data, have recently been employed to reduce the computational load or resource consumption for distributed real-time control systems. In this work, we propose a self-triggered scheme for nonlinear controlled stochastic differential equations with additive noise terms...
Many image morphing methods require feature points meaning correspondence points between the input images by the hand. If user does not add feature points in detail, a noise called “ghost” appears in the output image. We propose a ghost removal method which extracts detailed feature points to modify a texture correspondence. The proposed method can remove the ghost at the textures having different...
This paper proposes a novel feature-detection method based on the co-occurrence histogram for an image. The method uses eight co-occurrence histograms to emphasize features in the image. The image features are treated as occurrence frequencies of two-pixel combinations in the image. When the proposed method is applied to a drawn image like a rectangle, the corner points are emphasized in the image...
This paper studies MPPT (Maximum Power Point Tracking) control performance in the existence of noise, paying special attention to the output degradation problem of photovoltaic (PV) system. So called Perturb and Observe (P&O) method is chosen among many MPPT methods. In particular, exponential moving average (EMA) is used as a preprocessing filter, which is a data averaging technique, and its...
The problem of identifying dynamical models on the basis of measurement data is usually considered in a classical open-loop or closed-loop setting. In this paper this problem is generalized to linear dynamical systems that operate in a complex interconnection structure and the dynamical relationships between the measured variables signals need to be identified. It is shown that the classical Direct...
The idea of modeling an unknown channel using a broadcast channel was first introduced by Cover1 in 1972. This paper builds on his line of thought to consider priority encoding of communication over unknown channels without feedback, using fixed-length codes and from a single-shot, individual channel perspective. A ratio-regret metric is used to understand how well we can perform with respect to the...
This study proposed a method to detect the little flame in the early stage of fire combustion. The foreground object was extracted by motion detection and YCb Cr color clues. To avoid the noise of motion detection in different resolution videos, background edge model is used to eliminate noise instead of morphology. Next, with the help of fire characteristics, the foreground object is identified....
To speed up content creation video game industry is increasingly turning to procedural content generation methods. However, creating and fine tuning procedural algorithms is a time consuming task. To address this issue several Search-Based Procedural Content Generation (SBPCG) techniques have been devised. They propose to automatically search the right input parameters or to generate the procedure...
In this paper, we describe Object Pixel Mixture Classifiers (OPMCs) which classify an object not only apart from background but also from other objects based on Gaussian Mixture Model (GMM) classification. The proposed OPMC is different from general GMM based classifiers in the respect that novel pairwise threshold is applied for final classification. Pairwise thresholds are different thresholds depending...
We theoretically obtain the learning curves of the FXLMS algorithm on the basis of statistical mechanical analysis. Cosines of angles between the coefficient vectors of an adaptive filter, its shifted filters, and an unknown system are treated as macroscopic variables. Assuming that the tapped-delay line is sufficiently long and exactly calculating the correlations between the past tap input vectors...
This paper surveys and analyzes state-of-the-art pipeline A/D Converter reported in IEEE from 1987 to June 2011, including performance comparison of these converters on the ground of Resolution, Sampling Rate, Power, Spurious Free Dynamic Range (SFDR), and Signal to Noise plus Distortion Ratio (SNDR)/ Signal to Noise and Distortion Ratio (SINAD). Technological and architectural progress brings low...
Distributed processing over networks relies on in-network processing and cooperation among neighboring agents. Cooperation is beneficial when all agents share the same objective or belong to the same group. However, if agents belong to different clusters or are interested in different objectives, then cooperation can be damaging. In this work, we devise an adaptive combination rule that allows agents...
The decentralized detection of events is a primary task in many applications of wireless sensor networks. Since energy consumption is the main constraint in networks of battery-powered sensors, as it limits their lifetime, taking explicitly into account the energy costs in the design of any decentralized detection algorithm becomes a major issue. Based on state-of-the-art censoring techniques and...
In this paper, we propose a novel method to determine whether a scanned text document is right side up or upside down. The text documents discussed here are limited to English, Chinese and Japanese where we find that the punctuation marks located on the bottom of the text line have a much more frequent occurrence than those on the top. Thus, by calculating the number of punctuation marks on the bottom...
When comparing clustering results, any evaluation metric breaks down the available information to a single number. However, a lot of evaluation metrics are around, that are not always concordant nor easily interpretable in judging the agreement of a pair of clusterings. Here, we provide a tool to visually support the assessment of clustering results in comparing multiple clusterings. Along the way,...
In order to provide noiseless transmission of speech in wireless communication systems a real-time implementable noise cancellation algorithm is developed. Speech and noise sources are not known but only their mixtures are observed. That system is modeled with instantaneous mixture model. Combination of independent component analysis (ICA) and particle swarm optimization (PSO) algorithms is used to...
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