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- 저자 : Kumar Surjeet (검색결과 4 건)
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Kumar, Parmod,Sharma, Vikas,Singh, Jitendra P.,Kumar, Ashish,Chahal, Surjeet,Sachdev, K.,Chae, K.H.,Kumar, Ashok,Asokan, K.,Kanjilal, D. Elsevier 2019 Journal of magnetism and magnetic materials Vol.489 No.-
<P><B>Abstract</B></P> <P>Present work aims at investigating the structural, magnetic and dielectric properties of zinc doped Fe<SUB>2</SUB>O<SUB>3</SUB> nanoparticles (pure, 10%, 20% & 30%) and correlated with their local electronic structures using X-ray absorption near-edge structure (XANES) spectroscopy. X-ray diffraction and Raman measurements infer that doping of Zn cations lead to the formation of secondary phases corresponding to ZnFe<SUB>2</SUB>O<SUB>4</SUB> along with the hematite phase of Fe<SUB>2</SUB>O<SUB>3</SUB>. Magnetic measurements show that magnetization vs magnetic field curve for 10% Zn doping exhibit maximum saturation magnetization (~2.93 × 10<SUP>−3</SUP> emu/g) as well as the coercivity (~956 Oe). The values of these parameters decrease for higher content of Zn. The temperature dependence of dielectric behaviour follows the same trend as that of the lattice parameter and magnetic measurements. The XANES spectra at Fe L- and Fe K-edges indicate partial reduction of Fe<SUP>3+</SUP> ions into Fe<SUP>2+</SUP> upon Zn doping in the Fe<SUB>2</SUB>O<SUB>3</SUB> lattice. However, divalent state is favourable for Zn (i.e. Zn<SUP>2+</SUP>) within the doping range reported in this study.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Zn doped Fe<SUB>2</SUB>O<SUB>3</SUB> nanoparticles. </LI> <LI> Study of magnetic and electrical properties. </LI> <LI> Correlation of magnetic and electrical properties with local electronic structure. </LI> </UL> </P>
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Soni Saurbh,Kumar Surjeet 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.3
Efficacy of Diaeretiella rapae (McIntosh) (Hymenoptera: Braconidae) was determined by studying its biological and behavioural attributes on the aphid, Myzus persicae (Sulzer) (Hemiptera: Aphididae). Total developmental duration of the parasitoid was longer in younger instars compared to that in older instars of aphid. Host age negatively affected the oviposition period and fecundity of the ovipositing parasitoid. Survival of the immatures was higher in older than the younger instars of the aphid. Sex ratio for the parasitoid was female-biased. Longevity of female parasitoid was higher while parasitizing aphid nymphs of younger age groups (1–2 days old) compared to that of older age groups (4–5 days old). Parasitoid showed a higher preference towards second instar of M. persicae both in choice and no-choice tests. Results on mutual interference revealed that per capita searching efficiency decreased from 0.91 to 0.07 as parasitoid densities increased from 1 to 8. Logistic regression exhibited a type II functional response for D. rapae. The estimated values of search-efficiency (a) and handling time (T h ) were 0.038 h − 1 and 1.59 h, respectively. The maximum parasitization rate was 15.08. This investi gation suggests that D. rapae could be an effective candidate for augmentative biological control of M. persicae which infests several plant species of economic importance.
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An Explainable Deep Learning-Based Classification Method for Facial Image Quality Assessment
Kuldeep Gurjar,Surjeet Kumar,Arnav Bhavsar,하마드코티바,문양세,윤대호 한국정보처리학회 2024 Journal of information processing systems Vol.20 No.4
Considering factors such as illumination, camera quality variations, and background-specific variations, identifyinga face using a smartphone-based facial image capture application is challenging. Face Image QualityAssessment refers to the process of taking a face image as input and producing some form of "quality" estimateas an output. Typically, quality assessment techniques use deep learning methods to categorize images. Themodels used in deep learning are shown as black boxes. This raises the question of the trustworthiness of themodels. Several explainability techniques have gained importance in building this trust. Explainability techniquesprovide visual evidence of the active regions within an image on which the deep learning model makes aprediction. Here, we developed a technique for reliable prediction of facial images before medical analysis andsecurity operations. A combination of gradient-weighted class activation mapping and local interpretable modelagnostic explanations were used to explain the model. This approach has been implemented in the preselection of facial images for skin feature extraction, which is important in critical medical science applications. We demonstrate that the use of combined explanations provides better visual explanations for the model, whereboth the saliency map and perturbation-based explainability techniques verify predictions.
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Single Crystal Growth and Properties of 2D Antiferromagnet Ni<SUB>1-x</SUB>Zn<SUB>x</SUB>PS₃
Nashra Pistawala,Ankit Kumar,Dibyata Rout,Luminita Harnagea,Surjeet Singh 한국물리학회 2023 새물리 Vol.73 No.12
NiPS₃ is a rare Ni-based negative charge transfer insulator with an antiferromagnetically ordered ground state with Ni spins ordered in a zigzag configuration. Recent reports indicate the presence of strong spin-phonon and spin-charge coupling in NiPS₃. In this study, we report on the growth of high-quality single crystals of Ni<SUB>1-x</SUB>Zn<SUB>x</SUB>PS₃ (x = 0, 0.05, 0.08, 0.13, and 0.14) using the physical vapor transport method. The Raman spectra of all the compositions were measured at 300 K. We show that the phonon mode E<SUP>(2)</SUP><SUB>g</SUB> at 176 cm<SUP>-1</SUP> attributed to the vibration of Ni ions can only be well-fitted using the Breit-Wigner Fano line shape. The parameter |1/q|, which quantifies the strength of the coupling of the phonon E<SUP>(2)</SUP><SUB>g</SUB> to a broad continuum, is found to have a considerably high value of 0.13. The |1/q| parameter increases with increasing Zn doping. Our findings indicate the presence of charge-phonon coupling in NiPS3 at room temperature.
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