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Partha Sona Maji,Partha Roy Chaudhuri 한국광학회 2014 Current Optics and Photonics Vol.18 No.3
In this work, we report detailed numerical analysis of the near-elliptic core index-guiding triangularlattice and square-lattice photonic crystal fiber (PCFs); where we numerically characterize the birefringence, single mode, cut-off behavior and group velocity dispersion and effective area properties. By varying geometry and examining the modal field profile we find that for the same relative values of d/, triangular-lattice PCFs show higher birefringence whereas the square-lattice PCFs show a wider range of single-mode operation. Square-lattice PCF was found to be endlessly single-mode for higher air-filling fraction (d/). Dispersion comparison between the two structures reveal that we need smaller lengths of triangular-lattice PCF for dispersion compensation whereas PCFs with square-lattice with nearer relative dispersion slope (RDS) can better compensate the broadband dispersion. Square-lattice PCFs show zero dispersion wavelength (ZDW) red-shifted, making it preferable for mid-IR supercontinuum generation (SCG) with highly non-linear chalcogenide material. Square-lattice PCFs show higher dispersion slope that leads to compression of the broadband, thus accumulating more power in the pulse. On the other hand, triangular-lattice PCF with flat dispersion profile can generate broader SCG. Square-lattice PCF with low Group Velocity Dispersion (GVD) at the anomalous dispersion corresponds to higher dispersion length (LD) and higher degree of solitonic interaction. The effective area of square-lattice PCF is always greater than its triangular-lattice counterpart making it better suited for high power applications. We have also performed a comparison of the dispersion properties of between the symmetric-core and asymmetric-core triangular-lattice PCF. While we need smaller length of symmetric-core PCF for dispersion compensation, broadband dispersion compensation can be performed with asymmetric-core PCF. Mid-Infrared (IR) SCG can be better performed with asymmetric core PCF with compressed and high power pulse, while wider range of SCG can be performed with symmetric core PCF. Thus, this study will be extremely useful for designing/realizing fiber towards a custom application around these characteristics.
Solution processed Al-doped ZnO and its performance in dye sensitized solar cells
Das Partha Pratim,Roy Anurag,Devi Parukuttyamma Sujatha,이영재 한국물리학회 2021 Current Applied Physics Vol.30 No.-
Al-doped ZnO rods of nanometer to sub-micrometer size range have been successfully synthesized by a simple yet cost-effective solution processed sonochemical technique. Systematic XRD analysis established the solid solubility limit for Al in the ZnO lattice to be ca. 3 mol% at an elevated annealing temperature of 800 ◦C. The secondary ZnAl2O4 phase appears with increasing dopant concentrations and at lower annealing temperatures. Significant variations in the optoelectronic properties are induced by modifications in the surface defects of ZnO rods as a result of Al doping. As a consequence, an improved fill factor (FF) of 74.78 and 75.76% with a conversion efficiency (η) of 1.59 and 1.79% have been achieved for the fabricated DSSC devices made of the 800 ◦C annealed ZnO rods doped by 1 and 3 mol% Al, respectively.
Frontal Face Generation Algorithm from Multi-view Images Based on Generative Adversarial Network
허영진,김병규,Partha Pratim Roy 한국멀티미디어학회 2021 The journal of multimedia information system Vol.8 No.2
In a face, there is much information of person's identity. Because of this property, various tasks such as expression recognition, identity recognition and deepfake have been actively conducted. Most of them use the exact frontal view of the given face. However, various directions of the face can be observed rather than the exact frontal image in real situation. The profile (side view) lacks information when comparing with the frontal view image. Therefore, if we can generate the frontal face from other directions, we can obtain more information on the given face. In this paper, we propose a combined style model based the conditional generative adversarial network (cGAN) for generating the frontal face from multi-view images that consist of characteristics that not only includes the style around the face (hair and beard) but also detailed areas (eye, nose, and mouth).
□-RICCI SOLITONS ON KENMOTSU MANIFOLDS
( Sabina Eyasmin ),( Partha Roy Chowdhury ),( Kanak Kanti Baishya ) 호남수학회 2018 호남수학학술지 Vol.40 No.2
The object of the present paper is to study the Ken- motsu manifolds which metric tensor is □-Ricci soliton. We bring out curvature conditions for which Ricci solitons in Kenmotsu man- ifolds are sometimes shrinking or expanding and some other times steady.
ON GENERALIZED QUASI-CONFORMAL N(k, μ)-MANIFOLDS
Baishya, Kanak Kanti,Chowdhury, Partha Roy Korean Mathematical Society 2016 대한수학회논문집 Vol.31 No.1
The object of the present paper is to introduce a new curvature tensor, named generalized quasi-conformal curvature tensor which bridges conformal curvature tensor, concircular curvature tensor, projective curvature tensor and conharmonic curvature tensor. Flatness and symmetric properties of generalized quasi-conformal curvature tensor are studied in the frame of (k, ${\mu}$)-contact metric manifolds.
𝜂-RICCI SOLITONS ON KENMOTSU MANIFOLDS
Eyasmin, Sabina,Chowdhury, Partha Roy,Baishya, Kanak Kanti The Honam Mathematical Society 2018 호남수학학술지 Vol.40 No.2
The object of the present paper is to study the Kenmotsu manifolds which metric tensor is ${\eta}$-Ricci soliton. We bring out curvature conditions for which Ricci solitons in Kenmotsu manifolds are sometimes shrinking or expanding and some other times steady.
Fight Detection in Hockey Videos using Deep Network
Mukherjee, Subham,Saini, Rajkumar,Kumar, Pradeep,Roy, Partha Pratim,Dogra, Debi Prosad,Kim, Byung-Gyu Korea Multimedia Society 2017 The journal of multimedia information system Vol.4 No.4
Understanding actions in videos is an important task. It helps in finding the anomalies present in videos such as fights. Detection of fights becomes more crucial when it comes to sports. This paper focuses on finding fight scenes in Hockey sport videos using blur & radon transform and convolutional neural networks (CNNs). First, the local motion within the video frames has been extracted using blur information. Next, fast fourier and radon transform have been applied on the local motion. The video frames with fight scene have been identified using transfer learning with the help of pre-trained deep learning model VGG-Net. Finally, a comparison of the methodology has been performed using feed forward neural networks. Accuracies of 56.00% and 75.00% have been achieved using feed forward neural network and VGG16-Net, respectively.
Plant Disease Identification using Deep Neural Networks
Mukherjee, Subham,Kumar, Pradeep,Saini, Rajkumar,Roy, Partha Pratim,Dogra, Debi Prosad,Kim, Byung-Gyu Korea Multimedia Society 2017 The journal of multimedia information system Vol.4 No.4
Automatic identification of disease in plants from their leaves is one of the most challenging task to researchers. Diseases among plants degrade their performance and results into a huge reduction of agricultural products. Therefore, early and accurate diagnosis of such disease is of the utmost importance. The advancement in deep Convolutional Neural Network (CNN) has change the way of processing images as compared to traditional image processing techniques. Deep learning architectures are composed of multiple processing layers that learn the representations of data with multiple levels of abstraction. Therefore, proved highly effective in comparison to many state-of-the-art works. In this paper, we present a plant disease identification methodology from their leaves using deep CNNs. For this, we have adopted GoogLeNet that is considered a powerful architecture of deep learning to identify the disease types. Transfer learning has been used to fine tune the pre-trained model. An accuracy of 85.04% has been recorded in the identification of four disease class in Apple plant leaves. Finally, a comparison with other models has been performed to show the effectiveness of the approach.