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In this paper we propose an underline removal method specific to Japanese business document. Automated removal of underlines is important, because underline is the main cause of OCR misrecognition. The main feature of our method is to remove various types of underlines such as touched, inclined, and blurred lines by line template matching. Moreover, our method makes it possible to remove all possible...
Network security has become a major concern in recent years. In this research, we present an entropy-based network traffic profiling scheme for detecting security attacks. The proposed scheme consists of two stages. The purpose of the first stage is to systematically construct the probability distribution of relative uncertainty for normal network traffic behavior. In the second stage, we use the...
Spike detection in neural recordings is the initial step in the creation of brain machine interfaces. The Teager energy operator (TEO) treats a spike as an increase in the `local' energy and detects this increase. The performance of TEO in detecting action potential spikes suffers due to its sensitivity to the frequency of spikes in the presence of noise which is present in microelectrode array (MEA)...
The amount of speaker specific information in speech signal varies from frame to frame depending on spoken text and environmental conditions. A frame selection at the preprocessing stage can be an added advantage in this context. In pre-quantization (PQ) we select a new sequence of frames Y from the original frames X such that length of Y is less than X. In this paper, we first analyze a number of...
A current sensing circuit which is fully integrated suitable for low voltage buck regulator is presented. The current sensing circuit presented operates with accuracy close to 100 percent. It is targeted to be fabricated with 180 nm UMC technology. This IC senses faithfully till frequencies 2 MHz and hence it works well for the buck converters whose switching frequencies are up to 2 MHz. It is designed...
Maritime security includes reliable identification of ship entering and leaving a nation's territorial waters. Automated systems that could identify a ship could complement existing electronic signal identification methods. The use of Forward Looking Infrared (FLIR) and Synthetic Aperture Radar (SAR) enables ship image acquisition round-the-clock but their cost and complexity means few installations...
Recently, the ant colony optimization (ACO) meta-heuristic has received more attention as an efficient searching method for feature selection. This paper addresses various solution representation schemes of ACO and their effectiveness with respect to whether they consider correlations between features. A generic code of ACO using on-edge representation is presented. The paper formulates the ??-component...
The time of arrival (TOA) and angle of arrival (AOA) measurements from base stations (BS) can be used to obtain the location of the mobile station (MS). For TOA Location estimation, Line of Position (LOP) and Least Square (LS) Algorithms are usually used. To reduce the Non- line-of-sight (NLOS) errors maximum likelihood estimation (MLE) is performed in the constrained region. In this paper we propose...
This paper proposes a new fast multi-reference picture motion estimation algorithm which uses the relation of motion vector with distance of each frame. The proposed algorithm reduces search areas of motion estimation using linear feature of object's motion for fast motion estimation. Search areas in reference picture 2, 3 and 4 are minimized using a distance of each frame and motion vectors of reference...
The applicability and reliability of Infrared (IR) spectroscopy to distinguish normal and abnormal cells has opened this research to obtain new features from IR spectral of cervical cells to be fed into multilayered perceptrons (MLP) networks. In order for neural networks to be used as cervical precancerous diagnostic system, the features of cervical cell were used as inputs for neural networks and...
Image guided interventions (IGI) has the potential to replace conventional open and invasive procedures. These interventions also minimize damage to healthy tissue. Real-time 3D visualization of the problem area is now becoming a necessity for successful IGI. Real-time intra-operative imaging devices like multi-slice CT or 3D ultrasound are noisy and have low resolution hence they need to be compared...
The explosive growth in the process control industries has increased the requirement of automatic calibration of devises drastically. In process control industries calibration of different measuring instruments for temperature, voltage, pressure, current, etc. is mostly done manually. Some of the industries use software based approach for calibration. In this paper a generalized module for automatic...
In this paper, we present a grid-based fault-tolerant event detection scheme for wireless sensor networks. The sensor field is divided into square-shaped cells, called virtual grids here, where sensor nodes in each grid form a cluster. Each grid is further divided into subgrids of equal size. Each cluster head receives sensor readings of its member nodes and counts the number of sensor nodes reporting...
A number of techniques have been proposed in the literature for phoneme based speech recognition system. In this paper, a technique for automatic phoneme recognition using zero-crossings (ZC) and magnitude sum function (MSF) is proposed. The number of zero-crossings and magnitude sum function per frame are extracted and a minimum distance classifier is proposed to recognize the phonemes in each frame...
Unsolicited or spam emails are on the rise, where one's email storage inbox is bombarded with emails that make no sense at all. This creates excess usage of traffic bandwidth and results in unnecessary wastage of network resources. We wanted to test the Bayesian spam detection scheme with context matching that we had developed by implementing the keyword stripping using the Porter Stemmer algorithm...
Sound localization systems (SLS) identify the direction of a sound source. However, most of approaches focus on near-field identification, i.e. 1~2 m. In this paper we develop a novel algorithm for far-field sound localization based on the average magnitude difference function (AMDF), thereby extending the distance to 5 m. The far-field SLS is implemented on a field programmable gate array (FPGA)...
The IEC 61499 Function Block is an open standard for distributed control and automation. However, work related to using IEC61499 as code generator for various programming languages is still lacking. In this paper, a methodology for code generation based on XML and EBNF is discussed. Along with this code generator, an Iterative Knowledge Based Data Library (IKBDL) is proposed to improve the accuracy...
This paper focuses on researches related to medical digital imaging of endoscopic gastritis. It provides suffice information on endoscopic procedure and types of gastritis. Besides that, it also briefly addressed feature extraction methods. Feature selection and Multiple Instance Learning (MIL) concept are also reviewed. As a conclusion, this paper become a basis to propose an improved artificial...
Multi pattern Viterbi algorithm (MPVA) to jointly decode and recognize multiple speech patterns for automatic speech recognition (ASR) is proposed. The MPVA is a generalization of the Viterbi algorithm (VA) to jointly decode multiple patterns for a given standard hidden Markov model (HMM). Unlike our previously proposed constrained multi pattern Viterbi algorithm (CMPVA), the MPVA does not require...
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