Fast filter Based Noise Removal in Digital Images

Images play a major role in today’s world. It provides a lot of information in the field of medicine in diagnosing the disease, removing the defected area and also in traffic observations, surveillance systems, navigation etc. Often images are corrupted by noise due to various factors which cannot be avoided. Image denoising is done to detect the corrupted pixels and then correct them by the original pixel of the image. Filtering techniques are applied in images to filter out various types of noise. In this paper fast filters including mean, median, minimum, maximum, background subtraction are employed for removing the noise in images. ImageJ platform is employed for obtaining the results

Ranking based search in the encrypted cloud environment

Cloud computing is emerging as a promising technology for outsourcing of data and quality of data services. However, information which is sensitive when upload on cloud eventually cause privacy problems. Data encryption provides security of data to some level, but at the cost of compromised efficiency. This paper focus on addressing data privacy problems. For the first time, the privacy issue is formulated from the aspect of similarity relevance of data and scheme robustness. Privacy of data is not assured if Server-side ranking based on order-preserving encryption is maintained. For the assurance of data privacy, multi-keyword ranked search over encrypted data in cloud computing (MRSE) scheme is proposed which supports top-k multi keyword retrieval. In MRSE, vector space model and Homomorphic encryption were employed. The vector space model helps to provide accuracy sufficient search of data and the Homomorphic encryption enables users to involve in the encryption of data. The majority of computing work is done on the server side. As a result, leakage of information can be eliminated and data security is ensured. DOI: 10.17762/ijritcc2321-8169.15028

Larvicidal and repellent activity of tetradecanoic acid against Aedes aegypti (Linn.) and Culex quinquefasciatus (Say.) (Diptera:Culicidae)

AbstractObjectiveTo investigate the larvicidal and repellent efficacy of tetradecanoic acid against Aedes aegypti (Ae. aegypti) L. and Culex quinquefasciatus (Cx. quinquefasciatus) Say (Diptera: Culicidae).MethodsLarvicidal efficacy of tetradecanoic acid was tested at various concentrations against the early third instar larvae of Ae. aegypti and Cx. quinquefasciatus. The repellent activity was determined against two mosquito species at three concentrations viz., 1.0,2.5 and 5.0 ppm under the laboratory conditions.ResultsThe tetradecanoic acid was found to be more effective against Cx. quinquefasciatus than Ae. aegypti larvae. The LC50 values were 14.08 ppm and 25.10 ppm, respectively. Tetradecanoic acid showed lesser repellency against Ae. aegypti and Cx. quinquefasciatus. The highest repellency was observed in higher concentration of 5.0 mg/cm2 provided 100% protection up to 60 and 90 min against Ae. aegypti and Cx. quinquefasciatus respectively.ConclusionsFrom the results it can be concluded the tetradecanoic acid is a potential for controlling Cx. quinquefasciatus and Ae. aegypti mosquitoes

Synthesis, Characterization and Catalytic Properties of Microporous Cobalt Aluminosilicate (CoLTL) Molecular Sieves

Thermally stable divalent cobalt substituted microporous aluminosilicate (CoLTL) molecular sieves were synthesized and characterized. These studies revealed isomorphous substitution of divalent cobalt in tetrahedral framework of LTL structure. In addition, the typical blue color of CoLTL confirms the tetrahedral environment of divalent cobalt in the framework, and as a result the catalyst showed excellent activity for the oxidation of cyclohexane under mild reaction conditions. Furthermore, unlike the many other cobaltbased microporous (heterogeneous) catalysts reported so far, CoLTL does not show any dislodgement or segregation of cobalt upon calcination or any other post-synthesis treatments. In this study, the performance of CoLTL was also compared with cobalt-containing aluminophosphate and silicate molecular sieves having AFI and MFI structures, respectively

Use of novel DNA methylation signatures to distinguish between human airway structural cell types

INTRODUCTION: Chronic inflammatory and fibrotic lung diseases like asthma, COPD and pulmonary fibrosis are characterised by modified phenotype of the airway structural cells. Airway walls are comprised of a robust epithelial layer that lines the lumen followed by the basement membrane, submucosa predominantly composed of fibroblasts and finally enveloped by a bulk of smooth muscle cells that determine the relaxation and constriction of the airways. The phenotype of airway structural cells is determined by epigenetic alterations such as DNA methylation, which alters the activation status of a range of important inflammatory and remodelling genes. Here we determined if airway structural cells (Epithelial cells, fibroblasts and smooth muscle cells) have different DNA methylome signatures that can be used to distinguish between them. This will offer a reference standard for identifying cell type specific DNA methylation changes induced by various inflammatory stimuli. EXPERIMENTAL METHODS: Illumina Human Methylation 450K Beadchip (HM450K) was used to perform genome-wide methylome screening on 17 bronchial fibroblast (BrF), 23 lung parenchymal fibroblast (LgF), 17 airway epithelial cell (Ep) and 6 airway smooth muscle cell (ASM) samples isolated from healthy individuals. The data was normalised using funtoonorm, a specialised algorithm in R developed for multiple tissue types. R packages minfi, limma and DMRcate was used for CpG site exclusion and identification of significant differentially methylated regions (DMR) specific to each of the four cell types. RESULTS AND DISCUSSION: Epithelial cells distinctly separated from other lung cells (791 DMR). LgF, BrF and ASM had 13, 10 and 1 signature DMR respectively. Despite close anatomical proximity, ASM and BrF displayed 2 DMR when compared to each other. Interestingly, fibroblasts obtained from airway showed 6 DMR in comparison to those obtained from lung parenchyma, suggesting that the same cell type obtained from different parts of the lung can have significantly different methylation patterns that might lead to phenotypic differences. CONCLUSION: We have identified cell and tissue specific methylation signatures which can be used to differentiate between different types of airway structural cells. The airway epithelial cells showed the greatest separation from other airway structural cells. The Bronchial fibroblasts varied minimally from airway smooth muscle cells despite its significant separation from airway epithelial cells and parenchymal fibroblasts

Comparative analysis of modulation techniques in frequency converter

Abstract: A generalized frequency converter has been realized which makes use of a cyclo-converter in newer form AC-AC converter. An attempt has been made to operate this converter both in a conventional low frequency AC-AC converter and a new high frequency AC-AC converter. The ability to directly affect the frequency conversion of power without any intermediate stage involving DC power is a huge advantage of the system. The output of this converter has a frequency either fo = fi × Nr or fo = fi / Nr. where Nr is an integer and fi is the source frequency. A methodology is developed to generate the required trigger signal for any integer multiple/sub multiple of the output frequency. The undesirable harmonic components in the output of the frequency converter have been minimized using four modulation techniques namely; sinusoidal pulse width modulation (SPWM), delta modulation (DM), trapezoidal modulation (TM) and space vector modulation (SVM) technique. The converter is simulated using well known software package MATLAB. Comparative simulation analysis is presented for a single phase frequency converter (SPFC) topology with all these modulation techniques when the converter is operating both step up as well as for step down mode

Harmonic minimization in modulated frequency single-phase matrix converter

Abstract: This Field Programmable Gate Array (FPGA) based digital controller has been developed to improve the output of the frequency converter using Hardware Description Language. An attempt has been made to analyze converters using three modulation techniques namely sinusoidal pulse width modulation (SPWM), delta modulation (DM) and trapezoidal modulation (TM) to reduce the harmonics. It has been found that for the Sine PWM, the total harmonic distortion factor (THD) is high when the output frequency is greater than input frequency. The output is improved with delta modulation scheme where the total harmonic distortion is found minimum as compare to the SPWM and TM techniques. The circuit has been tested qualitatively by observing various waveforms on digital storage oscilloscope (DSO). The overall system is compact and no external memory system is required. Tests have been carried out to show the effectiveness and flexibility of the proposed method

A comparative biochemical study on the non diabetic obese and non obese subjects with cardiovascular disease

Cardiovascular disease is now a major public health problem in India and is emerging as a major killer. The non diabetic obese and non obese subjects with cardio vascular disease” were carried out with the objective of studying or investing the (effect) cause of cardiovascular diseases in obese and Non-obese subjects. The level of lipoprotein a of non obese subject showed a significant (P < 0.001) increase than in the obese subject. The level of lipid ratio (total cholesterol / HDL cholesterol) found to be significantly (P < 0.001) high in obese subjects than in non-obese subjects. The present study has been designed to evaluate or investigate the risk of cardiovascular disease due to obesity in both male and female middle age group

Estimation of System Parameters in Discrete Dynamical Systems from Time Series

We propose a simple method to estimate the parameters involved in discrete dynamical systems from time series. The method is based on the concept of controlling chaos by constant feedback. The major advantages of the method are that it needs a minimal number of time series data and is applicable to dynamical systems of any dimension. The method also works extremely well even in the presence of noise in the time series. The method is specifically illustrated by means of logistic and Henon maps.Comment: 4 page