Showing papers by "Heritage Institute of Technology published in 2011"

Entanglement witness operator for quantum teleportation.

Abstract: The ability of entangled states to act as a resource for teleportation is linked to a property of the fully entangled fraction. We show that the set of states with their fully entangled fraction bounded by a threshold value required for performing teleportation is both convex and compact. This feature enables the existence of Hermitian witness operators, the measurement of which could distinguish unknown states useful for performing teleportation. We present an example of such a witness operator illustrating it for different classes of states.

Versatile CAD formulation for estimation of the resonant frequency and magnetic polarizability of circular split ring resonators

Abstract: In this article, we propose a theoretical formulation to estimate the resonant frequency and magnetic polarizability of a circular split ring resonator (SRR). The computed results are compared with experimental and simulation results revealing excellent agreement for a wide range of frequencies. The proposed theory was compared with simulation for different parametric variation of the SRR. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011. © 2011 Wiley Periodicals, Inc.

Text detection of two major indian scripts in natural scene images

Abstract: In this article, we present a robust scheme for detection of Devanagari or Bangla texts in scene images These are the two most popular scripts in India The proposed scheme is primarily based on two major characteristics of such texts - (i) variations in stroke thickness for text components of a script are low compared to their non-text counterparts and (ii) presence of a headline along with a few vertical downward strokes originating from this headline We use the Euclidean distance transform to verify the general characteristics of texts in (i) Also, we apply the probabilistic Hough line transform to detect the characteristic headline of Devanagari and Bangla texts Further, similarity and adjacency measures are applied to identify text regions, which do not satisfy the verification in (ii) The proposed approach has been simulated on a repository of 120 images taken from Indian roads and the results are encouraging Also, we have discussed the applicability of the proposed scheme for detection of English texts Towards this end, we have considered the training and test samples from the image database of ICDAR 2003 Robust Reading Competition

Peptidyl-arginine deiminase: an additional marker of rheumatoid arthritis.

Abstract: BACKGROUND Antibodies against cyclic citrullinated peptide (anti-CCP) were thought to be more specific than rheumatoid factor (RF) for the diagnosis of rheumatoid arthritis (RA). The determination of anti-CCP in addition to RF could be helpful in the serological diagnosis and monitoring of patients with RA. Citrullination of proteins involves the enzymatic conversion of protein containing arginine residues to citrulline residues by the enzyme peptidylarginine deiminase (PAD). The present investigation was undertaken to estimate serum PAD enzyme activity in RA patients with a view to find its importance as a new diagnosis marker in a rheumatology clinic. METHODS The activity of the PAD enzyme was measured by spectrophotometric method at 530 nm in sera of control subjects and in patients of RA (Group I: RF negative and CCP positive: Group II: both RF and CCP positive) in terms of citrulline formation using benzoyl-arginine ethyl ester (BAEE) as substrate. Anti-CCP and RF were also estimated in two groups by enzyme immunoassay and immunoturbidimetry for comparison. Clinical variables (duration of morning stiffness, swollen and tender joint counts, patient's assessment of pain) and C-reactive protein were also evaluated. RESULTS A marked increase in PAD enzyme activity (p < 0.001) was noted in RA patients in comparison to controls and the level diminished appreciably along with two known serological markers (anti-CCP and RF) after six months of disease modifying antirheumatic drug (DMARD) treatment. The Group II RA patients showed much higher enzyme activity than Group I RA patients. However, clinical variables did not differ significantly between the two Groups of RA patients. CONCLUSIONS We conclude that determination of PAD enzyme activity may be used as an additional marker for monitoring disease progression and regression along with anti-CCP and RF in patients with RA. Moreover, this method is rapid, sensitive, and inexpensive and can be adopted in a laboratory having modest facilities.

A Modified Continuous Particle Swarm Optimization Algorithm for Uncapacitated Facility Location Problem

Abstract: A continuous version of particle swarm optimization (CPSO) is employed to solve uncapacitated facility location (UFL) problem which is one of the most widely studied in combinatorial optimization. The basic algorithm had already been published in the Research Article “A Discrete Particle Swarm Optimization Algorithm for Uncapacitated Facility Location Problem” [1]. But in addition to that, the algorithm is slightly modified here to get better result in a lesser time. To make a reasonable comparison, the same benchmark suites that are collected from OR-library [6] are applied here. In conclusion, the results showed that this modified CPSO algorithm is slightly better than the published CPSO algorithm.

An Algorithm for Task Scheduling in Heterogeneous Distributed Systems Using Task Duplication

Abstract: Task scheduling in heterogeneous parallel and distributed computing environment is a challenging problem. Applications identified by parallel tasks can be represented by directed-acyclic graphs DAGs. Scheduling refers to the assignment of these parallel tasks on a set of bounded heterogeneous processors connected by high speed networks. Since task assignment is an NP-complete problem, instead of finding an exact solution, scheduling algorithms are developed based on heuristics, with the primary goal of minimizing the overall execution time of the application or schedule length. In this paper, the overall execution time schedule length of the tasks is reduced using task duplication on top of the Critical-Path-On-a-Processor CPOP algorithm.

Single step concomitant concentration, purification and characterization of two families of lipopeptides of marine origin

Abstract: The extracellular biosurfactant product secreted by a marine bacterium was concentrated and purified directly from the fermentation broth in a single step by ultrafiltration (UF) employing YM 30 kDa (UF-I) and Omega 10 kDa (UF-II) polyethersulfone membranes. The optimum operating pressure required for both membranes, UF-I and UF-II, were found to be 30 and 35 psi, respectively. The biosurfactant from the fermentation broth was recovered in higher amounts using UF-II (89%) than using UF-I (73%). An analysis of the critical micelle concentrations (CMC) of the recovered lipopeptides showed a lower CMC value of 15 mg L−1 for the UF-II product, indicating higher degree of purity (83%) when compared to that of the UF-I product (78%). The ultrafiltered products were characterized using Fourier transformed infrared spectroscopy and matrix-assisted laser desorption ionization time of flight mass spectral analysis, which demonstrated the presence of two families of lipopeptides.

Approach towards the characteristic interpretation of Electromyography (EMG) signal with clinical study

Abstract: This paper is based on the glimpse of the clinical studies and its applications for starting different characteristic interpretation of Electromyography (EMG) signal. The paper presents the biological and the clinical properties of different human muscles and their movements. Strong and precise information about both active and inactive conditions of the skeletal muscles i.e propius muscle, biceps muscle, triceps muscle, deltoid muscle, etc. are shown in a tabular format. In real world, the elimination of anomaly of noisy EMG signal and its proper implementation is very difficult work. An attempt is taken on accomplishing an efficient and discretized knowledge based database of EMG interpretation and by the help of this database we just took a footstep to generate an actuator for the EMG interpretation to facilitate the modeling of dexterous prosthetic arm.

ECG based biometric authentication-a novel data modelling approach

Abstract: Use of ECG for biometric authentication is a relatively new approach for in security and restricted access methodologies. Here an ECG based technique for biometric analysis is proposed for a group of 20 persons. The method is based on first accurate extraction of characteristic features from each ECG and then design of a classifier for authentication. The feature data set is dimensionally reduced before classification. Classification is based on a simple comparison of the signature matrix elements for stored and testing data. In this work it is shown that the classification accuracy greatly improves if the reduced data set is modelled by a quadratic polynomial based on least square.

Deletion, Bell's inequality, teleportation

Abstract: In this letter we analyze the efficacy of the entangled output of Pati-Braunstein (arxiv:quant-ph/0007121v1, 2000) deletion machine as a teleportation channel. We analyze the possibility of it violating the Bell's inequality. Interestingly we find that for all values of the input parameter ? the state does not violate the Bell's inequality but when used as a teleportation channel can give a fidelity higher than the classical optimum $${({\rm i.e.}\,\frac{2}{3})}$$ .

Synthetic inductor based resonators using DVCCTA

Abstract: Using a differential voltage current conveyor transconductance amplifier (DVCCTA) device with a single RC-section some new synthetic grounded lossless inductor circuits are proposed. The inductance (L) is practically active-insensitive to the device port mismatch errors (e) and there is no component matching constraint. With a nonideal device, the presence of small parasitic shunt capacitances at the driving point port however makes the simulated impedance a LC structure which would be suitable for high-Q resonator design. In the same circuits, a quadrature sinusoid oscillator can also be realized. These responses are experimentally verified in a frequency range 300 kHz ≤ fo≤ 3 MHz.

Enhanced Bangla Character Recognition Using ANN

Abstract: This paper describes how the Bangla characters are processed, trained and then recognized with the use of a neural network. The size and the font used for the characters are similar in both training and classification of the network. The images are first converted into grayscale and then to binary images. These images are then scaled to fit a pre-defined area. By extracting the characteristics points we get the feature vectors, which is simply a series of 0s and 1s of fixed length. Finally, an Artificial Neural Network is chosen for the training and classification process. It has been noticed that recognition decreases due to presence of touching characters in the text. So recognition is done here with isolated printed characters.

Rule Extraction through Self-Organizing Map for a Self-Tuning Fuzzy Logic Controller

Abstract: Complex, imprecise, ill-defined and uncertain systems can be identified by fuzzy modeling. The identification of such a linguistic model consists of two parts; structure identification and parameter estimation. In this paper, we proposed Self-Organizing Map (SOM) clustering technique for structure identification. Initial parameters of the input-output membership functions (MFs) will be estimated from the clustering results. In the process of proto-type generation, the gradient descent method is used to refine and tune the parameters effectively. The proposed scheme has been successfully tested to identify the rules required to realize the gain factor of self-tuning fuzzy PI controller, which is highly non-linear in nature. Here, the system identification method is integrated with rule extraction method in such a way that it can pick up required rules from any processes. Finally, examples of various systems are given to illustrate the effectiveness of the proposed approach.

Data structures for range-aggregation over categories

Abstract: We solve instances of a general class of problems defined as follows: Preprocess a set S of possibly weighted colored geometric objects (e.g. points/orthogonal segments/rectangles) in IRd, d ≥ 1 such that given a query orthogonal range q (e.g. hyperbox/point), we can report efficiently for each distinct color c of the points in S ∩ q, the tuple where is a function (e.g. weighted sum, bounding box etc.) of the objects of color c in q.

An alternative visual analysis of the build heap algorithm

Abstract: This article presents an alternative visual analysis of the BUILDHEAP algorithm provided by Goodrich and Tamassia [4]. The analysis is based only on elementary properties of complete binary trees and a simple comparison of the areas of rectangles. As such, it should be accessible to a wide cross-section of students taking a typical algorithm design and analysis course.

Third order low pass Butterworth characteristic realization using the DBTA

Abstract: Using the differential buffered and transconductance amplifier (DBTA), together with a unity-gain current mirror cell, a new third order low pass Butterworth filter function realization is presented. The design is practically active-insensitive relative to the port mismatch errors (e) of the devices and the effect of the parasitic capacitances may be minimized by absorbing their values within the nominal value of the capacitors, all three of which are grounded. The design is verified for 3-db cut-off frequency at f 0 = 5MHz and 10MHz, with both hardware circuit test and by PSPICE simulation.

Semantic Notions of Weakly Correct AND/XOR Business Workflows Based on Partial Synchronization

Abstract: Workflows coordinate the execution of multiple tasks or services. This paper presents a novel approach to model workflows based on partial synchronization. We develop new notions of weak correctness called semantic correctness and redundancy soundness that permit semantically correct execution instances with some partially finished paths, and show how to deal with them by the notion of transactional "undo". The properties of partial synchronization using strong and weak corresponding pairs are analyzed, and illustrated with realistic examples. An algorithm called Weak Verify is developed to check a workflow for weak correctness properties. This algorithm makes use of an existing algorithm for strict verification. Our design approach mimics how end users think about workflows in practice, and we contrast it with other notions of strict and weak correctness. We compare our approach with various other approaches.

SAT approaches for solving the Staff Transfer Problem

Abstract: The Staff Transfer Problem (STP) relates to human resource flow in large organizations that have offices and worksites at many locations. Specifically, it is concerned with the periodic transfer of a subset of employees to different postings, either at another location or in a different workgroup in the same location. STP can be viewed as a Constraint Satisfaction Problem (CSP). Deterministic methods for solving the STP have been found to be markedly inferior to local search methods for problem instances that are large enough to be of practical interest. In earlier experimental investigations, it was demonstrated that GSAT(L) outperformed Simulated Annealing (SA) on randomly generated instances of the problem. It has been discovered subsequently that in most cases WALKSAT(L,p) is superior to GSAT(L) and all other SAT approaches.

Automatic sleep spindle detection in raw EEG signal of newborn babies

Abstract: In this study, a novel method for automatically detecting sleep spindles from a given raw EEG (Electroencephalogram) data is proposed We do not use any feature extraction and learning technique Rather, we model the visual perception of identifying rhythmic peaks within frequency range 115–15 Hz To achieve the performance close to visual detection, we first use a Gaussian window for smoothening of the signal Then peak detection method is applied for identifying visually distinguishable peaks If the frequency of peaks lies within frequency range 115–15 Hz, then we declare existence of a sleep spindle Validity of our process is determined by visual scoring of sleep spindles and comparing it with the automatic scoring We get a specificity range of 89%–98% for a sensitivity range of 87%–96% which is better that any other automatic detection process

Kinetic evaluation for aerobic biodegradation of resorcinol in a batch reactor

Abstract: Mixed microbial cultures contained in the sludge of effluent treatment plant of a coke oven industry have been studied for its resorcinol biodegradation capacity under aerobic environment. The result showed that, after necessary acclimatisation, the culture was able to biodegrade up to a concentration of 500 mg/L of resorcinol in the substrate. The specific growth rate of microorganisms was found to be increased steadily up to 300 mg/L of resorcinol as sole carbon source, and then the rate was observed to be descended, but substrate degradation rate increases rapidly up to 400 mg/L, but decreased at 500 mg/L. The biodegradation kinetics is fitted to different substrate inhibition models. Among all models, Luong model was best fitted for resorcinol (RMSE = 0.0104). The biodegradation constants estimated using theses models showed good potential of the mixed microbial culture for resorcinol biodegradation.

The quark-lepton unification : LHC data and neutrino masses

Abstract: The recent discovery of nonzero $\theta_{13}$ (equal to Cabbibo angle $\theta_C$ up to a factor of $\sqrt{2}$), the masses of supersymmetric particles $\gapp$ TeV from LHC data, and the sum of three active neutrino masses $\sum_i m_{ u_i}\lapp 1$ eV from the study of large scale structure of the universe motivate to study whether quark and lepton mixing have the same origin at the grand unification scale. We find that both results from neutrino experiments and LHC are complementary in quark-lepton unified model. A new constraint on SUSY parameters appears from electroweak symmetry breaking with a new correlation between the lower bounds on sparticle masses and the upper bound on $\sum_i m_{ u_i}$. In addition, we find that only $\mu>0$ (which is favored by $(g-2)$ of muon) is allowed and $m_{\tilde q, \tilde \l} \gapp$ TeV if $\sum_i m_{ u_i} \lapp 1$ eV. On the other hand, a small change in lower limit on $\theta_{13}$ from zero leads to a large increase in lower limits on sparticles masses ($\gapp 2$ TeV), which are also the bounds if recently discovered boson at LHC with mass around 125 GeV is the Higgs boson.

Design of UWB filter using DGS and Slot SRR array with band rejection for IEEE 802.11a WLAN

Abstract: In this paper an ultra-wideband filter is designed using periodic defected ground structures as low pass filter and Slot SRRs in the conducting strip as a band reject filter to prevent interference from WLAN. The high pass characteristic is obtained by an interdigital capacitor in the conducting strip. The average insertion loss is 1.6 dB in the passband. The band stop filter rejects frequencies from 5.21 GHz to 5.9 GHz with maximum rejection being -33.46 dB at 5.4 GHz and stopband rejection is upto -68.61 dB and -60dB in the upper and lower stop-bands respectively. Keywords-communication systems, ultrawideband technology, microwave filters, SRRs, WLAN.

Binary coding of Arrhythmic beats for generation of simplified classification rule

Abstract: Detection of Arrhythmic beats at the time of its occurrence is very essential for cardiac monitoring In this work a feature based binary coded classification method is presented for detection of beats like Premature Ventricular Contraction, Bundle Branch Block and Normal The method is based on mainly the QRS features A binary coded word is formed representing the status of each ECG beat comprising of five binary bits and the bit status is checked for the one by one to indicate the type of the beat The binary status word is formed using the temporal and morphological features of ECG signal This approach of logical classification reduces the complexity of detection because of its binary nature resulting in fast and ready reference of arrhythmic disorder for standalone systems Performance evaluation results indicate that the method has good accuracy and positive predictivity for all kind of test beats