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An Optimised Fuzzy Approach to Remove Mixed Noise from Images
Sweety Deswal,Surbhi Singhania,Shailender Gupta,Pranjal Garg 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.4
Mixed noises can be defined as a combination of different types of noises acting on a single carrier. There has been a mention of various mechanisms used to restore images corrupted with mixed noise in the past. This paper proposes a simple method based on fuzzy set theory and Bilateral Filter to remove mixed noises and compares it with previously mentioned techniques such as: Vector Median Filter(VMF), Vector Direction Filter (VDF), Fuzzy Peer Group Averaging (FPGA), Fuzzy Vector Median Filter (FVMF), Bilateral Filter (BF), Adaptive Bilateral Filter (ABF), Switching Bilateral Filter (SBF), Joint Bilateral Filter (JBF), and Trilateral Filter (TF) on the basis of performance metrics such as Peak Signal to Noise Ratio (PSNR), Mean Absolute Error (MAE), Mean Square Error (MSE) and Normalised Colour Difference (NCD). For the purpose of a detailed analysis, the performance of each method is evaluated by varying the image size and the noise density by implementing them in MATLAB-09. The mixed noise used in this paper is a combination of three noise i.e. poisson, impulse and Gaussian noise. The simulation and result shows that the proposed method provides better PSNR and hence better image quality than almost all the methods mentioned above.
Sybil Attack Detection and Analysis of Energy Consumption in Cluster Based Sensor Networks
Sweety Saxena,Prof. Vikas Sejwar 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
Wireless Sensor Network is an emerging new technology extensively used for large-scale real-time data processing due to its characteristics and is used in application areas such as in civilian and military domains. These networks are vulnerable to several security attacks. In this paper, we emphasize on Sybil attack, which is a harmful threat to sensor networks and proposed an algorithm for Sybil attack detection based on Time difference of Arrival (TDOA) localization method, which detects the malicious behavior of the head node and member nodes in a cluster based network.
( Sweety Verma ),( Suman Gahlyan ),( Manju Rani ),( Sanjeev Maken ) 한국화학공학회 2018 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.56 No.5
Refractive index and speeds of sound for the binary mixture of isomer of butanol (1) + cyclohexane, benzene and toluene (2) were measured at 308.15 K. The measured data were used to calculate deviation in refractive index Δn, ultrasonic speed Δu, isentropic compressibility K<sub>s</sub><sup>E</sup>, available volume Va, excess intermolecular free length L<sub>f</sub> and molecular association MA. All the derived properties were correlated with polynomial equation. Ultrasonic speed data were predicted using various empirical correlations like Nomoto, van Dael, impedance dependence and theoretically with Schaaff’s collision factor theory (CFT). Jacobson free length theory (FLT) was used to calculate L<sub>f</sub>. The measured refractive index was also correlated with various mixing rules. The deviation in refractive index Δn and ultrasonic speed Δu was used to determine the intermolecular interactions.
Verma Sweety,Bhagat Payal,Gahlyan Suman,Rani Manju,Kumar Naveen,Malik Rajesh Kumar,Lee Yongjin,Maken Sanjeev 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.9
As N-isopropyl-2-propanamine+alkanol (C1-C3) systems are potential absorbents for CO2 capture, we measured density (ρ), viscosity (η) and the ultrasonic speed data (u) for N-isopropyl-2-propanamine (DIPA) with alkanol (C1-C3) at T=(298.15 and 308.15) K and 0.1 MPa. The experimental density (ρ), viscosity (η) and ultrasonic speed (u) data were used to derive excess molar volume (V E m), apparent, partial, and excess partial molar volume, deviation in viscosity and deviation in ultrasonic speed, excess isentropic compressibility (K E s). We predicted the V E m values using the Prigogine-Flory-Patterson theory (PFP) and by Nakata and Sakurai model. An Ab initio approach was proposed for the excess isentropic compressibility (K E s) and Δη data which not only reproduces the experimental data but also gives important parameters that describe the extent of depolymerization on mixing and strength of intermolecular interactions.
Verma Sweety,Gahlyan Suman,Bhagat Payal,Rani Manju,Rana Seetu,Lee Yongjin,Maken Sanjeev 한국화학공학회 2024 Korean Journal of Chemical Engineering Vol.41 No.3
Reducing carbon emissions has emerged as a critical challenge, and among various methods, solvent-based CO 2 capture technology is the most widely employed. Amines, particularly eff ective solvents for CO 2 capture, play a signifi cant role in this process. To advance this technology, it is essential to understand the thermodynamic properties of the interactions between the constituent components. In this study, we examined the deviation in dynamic viscosity ( Δ ), and the deviation in refractive index ( Δn D ) calculated from the measured and n D data for n -butylamine (NBA) with alkanol systems. The temperature range for our study was 298.15–318.15 K. We utilized the Ab-initio approach for Δ data analysis. Our fi ndings revealed that the depolymerization power of alkanol is dependent on the unlike interactions. Furthermore, we employed various correlations/mixing rules to predict the as well as n D values from the experimental pure components data. The standard deviation was utilized to express the predictive abilities of these correlations.
Rough sets in neutrosophic approximation space
C. Antony Crispin Sweety,I. Arockiarani 원광대학교 기초자연과학연구소 2017 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.13 No.4
In this paper, we introduce the concepts of neutrosophic rough sets and investigate some of its properties. Further, as the characterisation of neutrosophic rough approximation operators, we introduce various notions of cut sets of neutrosophic rough sets.
( Suman Gahlyan ),( Sweety Verma ),( Manju Rani ),( Sanjeev Maken ) 한국화학공학회 2017 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.55 No.4
Viscosity data were measured at 298.15 K and 308.15 K for formamide + 1-propanol, 2-propanol, 1-butanol, 2-methyl-1-propanol or 2-methyl-2-propanol mixtures. For an equimolar mixture, deviation in viscosity follows the sequence: 2-methyl-2-propanol >2-methyl-1-propanol>1-butanol>2-propanol>1-propanol. The viscosity data were further analyzed in terms of graph theory. Free energy of activation was also calculated from experimental viscosity data along with previously reported excess volume data. The deviation in viscosity and free energy of activation were fitted to Redlich-Kister polynomial equation. The viscosity data were also correlated by correlations like Grunberg-Nissan, Tamura-Kurata, Hind- McLaughlin-Ubbelohde, and Katti-Chaudhari relation. Various adjustable parameters, G<sub>12</sub>, T<sub>12</sub>, H<sub>12</sub>, and W<sub>vis</sub>/RT, of various correlations were used to predict viscosity deviation of binary mixtures. Positive value of G<sub>12</sub> indicates strong interaction in the studied systems. Grunberg-Nissan relation has lowest deviation among the four correlations for formamide + 1-propanol or 2-propanol mixtures; and for mixtures of formamide with 1-butanol or 2-methyl-1-propanol, Tamura- Kurata has lowest deviation. Grunberg-Nissan gives lowest deviation for formamide + 2-methyl-2-propanol mixtures.
Suman Gahlyan,Sweety Verma,Manju Rani,Sanjeev Maken 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.5
The deviation in viscosity was coupled with respective excess molar volume data to study the molecular interaction in binary mixtures with one associated component. This approach was applied to the experimentally measured viscosity and excess molar volume data of the 2-propanol+hydrocarbons at 298.15 K and 308.15 K. It was suggested that depolymerization power of aromatic hydrocarbon toward 2-propanol as well as strength of intermolecular interactions (electron-donor-acceptor type) between monomer of 2-propanol and aromatics depend on -electron density of the aromatic hydrocarbon. These interactions were further confirmed by FTIR spectroscopy. The viscosity of these binary mixtures was best predicted by Gruenberg-Nissan correlation among the four correlations applied.
( Suman Gahlyan ),( Sweety Verma ),( Manju Rani ),( Sanjeev Maken ) 한국화학공학회 2018 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.56 No.4
Excess molar volumes (V<sub>m</sub><sup>E</sup> ) of binary mixtures of 1-propanol or 2-propanol (1) + cyclohexane or n-hexane (2) were measured with V-shaped dilatometer at 303.15 K. The V<sub>m</sub><sup>E</sup> data for these mixtures varied as: 2-propanol > 1-propanol and were higher for cyclohexane than n-hexane for both propanol systems. The experimental data were correlated with Redlich-Kister polynomial. The V<sub>m</sub><sup>E</sup> data were interpreted qualitatively as well as quantitatively in terms of Flory-Treszczanowicz-Benson model and Prigogine-Flory-Patterson theory. Both models correctly described the sign and shape of V<sub>m</sub><sup>E</sup> vs x<sub>1</sub> curves. The values calculated by both the models agree well with the experimental data.
( Richa Buddham ),( Sweety Chauhan ),( Priyanka Narad ),( Puniti Mathur ) 한국미생물 · 생명공학회 2022 Journal of microbiology and biotechnology Vol.32 No.3
Mammalian target of rapamycin (mTOR) is a serine-threonine kinase member of the cellular phosphatidylinositol 3-kinase (PI3K) pathway, which is involved in multiple biological functions by transcriptional and translational control. mTOR is a downstream mediator in the PI3K/Akt signaling pathway and plays a critical role in cell survival. In cancer, this pathway can be activated by membrane receptors, including the HER (or ErbB) family of growth factor receptors, the insulin-like growth factor receptor, and the estrogen receptor. In the present work, we congregated an electronic network of mTORC1 built on an assembly of data using natural language processing, consisting of 470 edges (activations/interactions and/or inhibitions) and 206 nodes representing genes/proteins, using the Cytoscape 3.6.0 editor and its plugins for analysis. The experimental design included the extraction of gene expression data related to five distinct types of cancers, namely, pancreatic ductal adenocarcinoma, hepatic cirrhosis, cervical cancer, glioblastoma, and anaplastic thyroid cancer from Gene Expression Omnibus (NCBI GEO) followed by pre-processing and normalization of the data using R & Bioconductor. ExprEssence plugin was used for network condensation to identify differentially expressed genes across the gene expression samples. Gene Ontology (GO) analysis was performed to find out the over-represented GO terms in the network. In addition, pathway enrichment and functional module analysis of the protein-protein interaction (PPI) network were also conducted. Our results indicated NOTCH1, NOTCH3, FLCN, SOD1, SOD2, NF1, and TLR4 as upregulated proteins in different cancer types highlighting their role in cancer progression. The MCODE analysis identified gene clusters for each cancer type with MYC, PCNA, PARP1, IDH1, FGF10, PTEN, and CCND1 as hub genes with high connectivity. MYC for cervical cancer, IDH1 for hepatic cirrhosis, MGMT for glioblastoma and CCND1 for anaplastic thyroid cancer were identified as genes with prognostic importance using survival analysis.