Structural, thermal and conductive properties of Bi4-xMxV2O11 (M = La, Gd; 0 ≼ x ≼ 0.4) compounds

Deepti,Ravikant,M.L. Singla,K. Singh 한국물리학회 2009 Current Applied Physics Vol.9 No.6

Bi4-xMxV2O11 (M = La, Gd) was prepared by solid state reactions. The amount of La and Gd in the (Bi4-xMxV2O11) was varied in the range of (0 ≼ x ≼ 0.4). The addition of La and Gd to Bi4V2O11 electrolyte was found to stabilize the β crystalline phase for x ≼ 0.3. In addition, the phase transition corresponding β- to γ-phases are evident in the ionic conductivity plots as well as in XRD, DSC profiles of x ≽ 0.3 samples. The highest ionic conductivity was observed in Bi3.9La0.1V2O11 and Bi3.8Gd0.2V2O11 samples in the range of 10-3–10-4 S/cm for 700–500 ℃. These results were supported by impedance spectroscopy, Xray diffraction (XRD) and differential scanning calorimetry (DSC). Bi4-xMxV2O11 (M = La, Gd) was prepared by solid state reactions. The amount of La and Gd in the (Bi4-xMxV2O11) was varied in the range of (0 ≼ x ≼ 0.4). The addition of La and Gd to Bi4V2O11 electrolyte was found to stabilize the β crystalline phase for x ≼ 0.3. In addition, the phase transition corresponding β- to γ-phases are evident in the ionic conductivity plots as well as in XRD, DSC profiles of x ≽ 0.3 samples. The highest ionic conductivity was observed in Bi3.9La0.1V2O11 and Bi3.8Gd0.2V2O11 samples in the range of 10-3–10-4 S/cm for 700–500 ℃. These results were supported by impedance spectroscopy, Xray diffraction (XRD) and differential scanning calorimetry (DSC).

3D 샌드위치 구조의 탄소 전극 기반 전기화학 바이오센서 플랫폼

DEEPTI,이종민,신흥주 대한기계학회 2017 대한기계학회 춘추학술대회 Vol.2017 No.5

Comparative Analysis of Offline Signature Verification System

Deepti Yadav,Ranbeer Tyagi 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11

A digital signature is a mathematical structure for indicating the validity of digital information or any document. A message is created by a known sender whose digital signature provides a recipient reason, such that the sender cannot reject having sent the message confirmation and that the message was not changed in transportation integrity. The Signature recognition and verification are a behavioral biometric. It can be operated in two various types: one is the Off-Line or Static Signature Verification Technique and another is the On-line or Dynamic Signature Verification Technique. In this paper, we are studying about Off-Line or Static Signature Verification Technique. In this method, users write their own signature on the blank paper and then digitize it with an optical scanner or a camera, and then the biometric system identifies the signature by analyzing its shape and this collection is also called as “off-line” Signature verification. Signature authentication can be divided into three main classes. These classes are based on how alike a forgery is in relation to signature and are identified as random, simple and skilled. In the random forgery the forger does not know about the signer’s shape or signature name. In the simple forgery or unskillful forgery, the forger knows the name of the actual signer but don’t know how his signature looks like. And in the skilled forgery, the forger knows both the information of the signer.

Fuzzy Meta-Network and navigation on online Fuzzy Network

Deepti Gaur,Aditya Shastri,Ranjit Biswas,Seema Gaur 한국정보통신학회 2009 2016 INTERNATIONAL CONFERENCE Vol.2 No.1

Determination of levels of nitric oxide in smoker and nonsmoker patients with chronic periodontitis

Deepti Wadhwa,Afshan Bey,Mukesh Hasija,Shagufta Moin,Arun Kumar,Shazia Aman,Vivek Kumar Sharma 대한치주과학회 2013 Journal of Periodontal & Implant Science Vol.43 No.5

Purpose: Cigarette smoking is a major risk factor in periodontal diseases. The pathogenesis of periodontal diseases may be affected by alterations of the inflammatory response by smoke. Nitric oxide (NO) is a gaseous, colorless, highly reactive, shortlived free radical with a pivotal role in the regulation of various physiological and pathological mechanisms in the body. It is important in host defense and homeostasis, on the one hand, whereas, on the other hand, it modulates the inflammatory response in periodontitis, leading to harmful effects. The aim of this study was to assess the levels of NO in both the serum and saliva of smokers and nonsmokers having chronic periodontitis and to compare them with periodontally healthy controls. Methods: Sixty subjects participated in the study and were divided into three groups: group I, healthy nonsmoking subjects;group II, nonsmoking patients with chronic periodontitis; group III, smoking patients with chronic periodontitis. Each group consisted of twenty subjects. The biochemical estimation of NO in the collected serum and in the saliva was performed using the Griess colorimetric reaction. Results: The results showed that the mean value of the salivary and serum NO was greater in group II than in group I, and also greater in group III than in group II. Conclusions: NO appears to play an important and rather complex role in the immuno-inflammatory process and in the remodeling and maintenance of osseous structures. It is therefore logical that modulation of this mediator has potential for the treatment of a number of inflammatory conditions including periodontal disease. Purpose: Cigarette smoking is a major risk factor in periodontal diseases. The pathogenesis of periodontal diseases may be affected by alterations of the inflammatory response by smoke. Nitric oxide (NO) is a gaseous, colorless, highly reactive, shortlived free radical with a pivotal role in the regulation of various physiological and pathological mechanisms in the body. It is important in host defense and homeostasis, on the one hand, whereas, on the other hand, it modulates the inflammatory response in periodontitis, leading to harmful effects. The aim of this study was to assess the levels of NO in both the serum and saliva of smokers and nonsmokers having chronic periodontitis and to compare them with periodontally healthy controls. Methods: Sixty subjects participated in the study and were divided into three groups: group I, healthy nonsmoking subjects;group II, nonsmoking patients with chronic periodontitis; group III, smoking patients with chronic periodontitis. Each group consisted of twenty subjects. The biochemical estimation of NO in the collected serum and in the saliva was performed using the Griess colorimetric reaction. Results: The results showed that the mean value of the salivary and serum NO was greater in group II than in group I, and also greater in group III than in group II. Conclusions: NO appears to play an important and rather complex role in the immuno-inflammatory process and in the remodeling and maintenance of osseous structures. It is therefore logical that modulation of this mediator has potential for the treatment of a number of inflammatory conditions including periodontal disease.

Determination and Comparison of Trace Elements in Various Parts of Eichhornia crassipes by a Validated Method using Inductively Coupled Plasma Mass Spectrometry and Atomic Emission Spectrometry

Deepti Gholap Khanvilkar,Simran Nagarjee 대한환경공학회 2020 대한환경공학회지 Vol.42 No.11

Objective : In this study, we have evaluated trace element concentration of various parts of Eicchornia crassipes, collected from three different lakes in Pune district, India. Methods : The dried segregated parts of Eicchornia crassipes were subjected to microwave digestion, followed by measurement with Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES) and Inductively Coupled Plasma-Mass Spectroscopy (ICP-MS). Optimization and validation of the method was performed for determining the minor and trace element concentrations of Co, I, Ni, Cu, Mn, Zn, Fe in roots, petiole and leaves of the plant. NIST Standard reference material SRM 1547 (Peach leaves) was used for establishing accuracy of the analytical method. Rhodium was used an internal standard for correcting matrix effects. Results and Discussion : A validated ICP-OES and ICP-MS method was established for determining the minor and trace element concentrations of Co, I, Ni, Cu, Mn, Zn, Fe in roots, petiole and leaves of the plant. Levels of all elements were found to be higher in roots, followed by petiole and leaves. Except for Zn and Fe, where concentration in leaves was found to be higher than in petiole. Of all the measured elements, total concentration of Mn was found to be highest (566 ㎎ ㎏-1), followed by Fe (341 ㎎ ㎏<SUP>-1</SUP>), Zn (40.26 ㎎ ㎏<SUP>-1</SUP>), Cu (28.04 ㎎ ㎏<SUP>-1</SUP>), Ni (9.54 ㎎ ㎏<SUP>-1</SUP>), Co (4.33 ㎎ ㎏<SUP>-1</SUP>) and I (0.94 ㎎ ㎏<SUP>-1</SUP>). A surprising finding was the presence of iodine in the plant, despite its non-marine source. Conclusion : Plant-derived products form an important category in alternative medicine that is often used for treatment of several disorders. Eicchornia crassipes (water hyacinth), considered as the world’s worst weed, has been used in folk medicine, with very little evidence-based data to support its potential medicinal value. Here we report the trace element profile of Eicchornia crassipes. Insight into the trace element profile of various parts of the plant can perhaps be harnessed to postulate the rationale behind the use of specific parts of the weed in traditional medicine.

MACROPOROUS MATAIX FOR CARTILAGE TISSUE ENGINEERING

Deepti Singh(딥티싱),Dolly Singh(돌리싱),Saet Byu Ki(기샛별),Tae Won Son(손태원),Joon Ho Kim(김준호),Sung Soo HAN(한성수) 제어로봇시스템학회 2012 제어로봇시스템학회 합동학술대회 논문집 Vol.2012 No.7

Comparative Analysis of Offline Signature Verification System

Deepti Yadav,Ranbeer Tyagi 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.9

A digital signature is a mathematical structure for indicating the validity of digital information or any document. A message is created by a known sender whose digital signature provides a recipient reason, such that the sender cannot reject having sent the message confirmation and that the message was not changed in transportation integrity. The Signature recognition and verification are a behavioral biometric. It can be operated in two various types: one is the Off-Line or Static Signature Verification Technique and another is the On-line or Dynamic Signature Verification Technique. In this paper, we are studying about Off-Line or Static Signature Verification Technique. In this method, users write their own signature on the blank paper and then digitize it with an optical scanner or a camera, and then the biometric system identifies the signature by analyzing its shape and this collection is also called as “off-line” Signature verification. Signature authentication can be divided into three main classes. These classes are based on how alike a forgery is in relation to signature and are identified as random, simple and skilled. In the random forgery the forger does not know about the signer’s shape or signature name. In the simple forgery or unskillful forgery, the forger knows the name of the actual signer but don’t know how his signature looks like. And in the skilled forgery, the forger knows both the information of the signer.

Survey on Digital Watermarking Techniques

Deepti Shukla,Nirupama Tiwari 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.9

This paper presents a literature survey on Digital Watermarking within an image. It describes the early work carried out on digital watermarks, including the brief analysis of various watermarking schemes and its applications. This paper also makes a comparison between various watermarking schemes .This paper also gives us a brief introduction about the procedure of digital watermarking.

Performance Evaluation by Validity Measures of HFC Algorithm

Deepti Gaur,Seema Gaur 한국정보통신학회 2014 2016 INTERNATIONAL CONFERENCE Vol.6 No.1

Hierarchical Fuzzy Clustering Algorithm (HFC) has wide range of applications in various classification areas. The HFC is put forward to overcome the limitations of Fuzzy C-Means (FCM) algorithm. HFC discovers the high concentrated data areas by the agglomerative hierarchical clustering method quickly, analyzes and merges the data areas, and then uses the evaluation function to find the optimum clustering scheme. HFC algorithm is faster than single linkage agglomerative clustering algorithm as it can merge more than two clusters in one iteration when the merging condition is satisfied. In this paper author measured the quality of the clusters obtained by HFC algorithm by calculating various validity measures such as partition coefficient, separation index and Xie and Beni"s index. Experimental results indicate that HFC algorithm gives accurate results comparatively better.