Preparation of Drug Eluting Natural Composite Scaff old Using Response Surface Methodology and Artifi cial Neural Network Approach

Shailendra Singh Shera,Shraddha Sahu,Rathindra Mohan Banik 한국조직공학과 재생의학회 2018 조직공학과 재생의학 Vol.15 No.2

Silk fibroin/xanthan composite was investigated as a suitable biomedical material for controlled drug delivery, and blending ratios of silk fibroin and xanthan were optimized by response surface methodology (RSM) and artificial neural network (ANN) approach. A non-linear ANN model was developed to predict the effect of blending ratios, percentage swelling and porosity of composite material on cumulative percentage release. The efficiency of RSM was assessed against ANN and it was found that ANN is better in optimizing and modeling studies for the fabrication of the composite material. In-vitro release studies of the loaded drug chloramphenicol showed that the optimum composite scaffold was able to minimize burst release of drug and was followed by controlled release for 5 days. Mechanistic study of release revealed that the drug release process is diffusion controlled. Moreover, during tissue engineering application, investigation of release pattern of incorporated bioactive agent is beneficial to predict, control and monitor cellular response of growing tissues. This work also presented a novel insight into usage of various drug release model to predict material properties. Based on the goodness of fit of the model, Korsmeyer–Peppas was found to agree well with exper- imental drug release profile, which indicated that the fabricated material has swellable nature. The chloramphenicol (CHL) loaded scaffold showed better efficacy against gram positive and gram negative bacteria. CHL loaded SFX55 (50:50) scaffold shows promising biocomposite for drug delivery and tissue engineering applications.

Sentiment Analysis Approaches on Different Data set Domain : Survey

Shailendra Kumar Singh,Sanchita Paul,Dhananjay Kumar 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.5

The growth of social website and electronic media contributes vast amount of user generated content such as customer reviews, comments and opinions. Sentiment Analysis term is referred to the extraction of others (speaker or writer) opinion in given source material (text) by using NLP, Linguistic Computation and Text mining. Sentiment classification of product and service reviews and comments has emerged as the most useful application in the area of sentiment analysis. This paper focuses on the comparative study (1997 – 2012) of different sentiment classification techniques performed on different data set domain such as web discourse, reviews and news articles etc. The most popular approaches are Bag of words and feature extraction used by researchers to deal with sentiment analysis of opinion related to movies, electronics, cars, music etc. The sentiment analysis is used by manufacturers, politicians, news groups, and some organization to know the opinions of customer, people, and social website users.

Cyber Attack Detection System based on Improved Support Vector Machine

Shailendra Singh,Sanjay Silakari 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.9

This paper presents a novel cyber attack classification approach using improved Support Vector Machine (iSVM) by modifying Gaussian kernel. The Support Vector Machine (SVM) is based on machine learning technique known to perform well at various pattern recognition tasks; such as image classification, text categorization and handwritten character recognition. The cyber attack detection is basically a pattern classification problem, in which classification of normal pattern is done from the abnormal pattern (attack). Although, traditional SVM is better classifier in terms of fast training, scalable and generalization capability. Performance of traditional SVM is enhanced in this work by modifying Gaussian kernel to enlarge the spatial resolution around the margin by a conformal mapping, so that the separability between attack classes is increased. It is based on the Riemannian geometrical structure induced by the kernel function. In the proposed method, class specific Cyber Attack Detection System which combines feature reduction technique and improved support vector machine classifier. This technique has two phases, in the first phase we reduced the redundant features of the original KDDCUP2009 dataset by Generalized Discriminant Analysis (GDA). In the second phase we used improved Support Vector Machine (iSVM) classifier to classify the reduced dataset obtained from first phase. Result shows that iSVM gives 100% detection accuracy for Normal and Denial of Service (DOS) classes and comparable to false alarm rate, training, and testing times.

Smart Deployment of Sensor Nodes Using SA & GFA

Shailendra Singh,Deepa verma 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.2

In wireless sensor networks, network connectivity problems and sensor coverage are mainly affected by the restricted communication and sensing range of the nodes. To solve all these problems, many studies have been undertaken till now but most of these works is limited to be applied to the real environments because these do not consider various environmental factors that affect wireless sensor network deployment. In this paper, we propose a node deployment strategy that considers environmental factors and the number of nodes for surveillance .Deployment of the sensor nodes, and relay nodes considering all features of the surveillance and reconnaissance sensor networks as well as environmental factors. Smarty deploying the sensor nodes is very important if we are considering the performance of wireless sensor nodes (wsn). This paper focuses on real time deployment of sensor nodes using unmanned aerial vehicle (UAV). Smart deployment has importance in battlefield surveillance, disaster monitoring, environmental and habitat monitoring etc. It plays a very important role mainly in disasters affecting areas like flood affected or fire affected forests for sensing different conditions and physical data out there. The objective of this paper is to deploy sensor nodes smartly only in terrain of interest not in fire or water so that it can conserve environment and can reduce the loss of sensor nodes from being deploy in fire or water. Image segmentation of the images captured by camera situated on a board of UAV.. Comparison of these optimization tools SA and GFA are presented here for different images. Simulation results show that GFA performs better than SA when compared with no. of individuals and SA is faster than GFA.

Stand-Alone Wind Energy Conversion System with an Asynchronous Generator

Singh, Bhim,Sharma, Shailendra The Korean Institute of Power Electronics 2010 JOURNAL OF POWER ELECTRONICS Vol.10 No.5

This paper deals with a stand-alone wind energy conversion system (WECS) with an isolated asynchronous generator (IAG) and voltage and frequency (VF) control feeding three-phase four-wire loads. The reference generator currents are estimated using the instantaneous symmetrical component theory to control the voltage and frequency of an IAG system. A three-leg voltage source converter (VSC) with an isolated star/delta transformer is used as an integrated VSC. An integrated VSC with a battery energy storage system (BESS) is used to control the active and reactive powers of the WECS. The WECS is modeled and simulated in MATLAB using the Simulink and the Sim Power System (SPS) toolboxes. The proposed VF controller functions as a voltage and frequency regulator, a load leveler, a load balancer and a harmonic eliminator in the WECS. A comparison is made on the rating of the VSC with and without ac capacitors connected at the terminals of an IAG. Simulation and test results are presented to verify the control algorithm.

An Analysis on Online Social Network Security

( Shailendra Rathore ),( Saurabh Singh ),( Seo Yeon Moon ),( Jong Hyuk Park ) 한국정보처리학회 2016 한국정보처리학회 학술대회논문집 Vol.23 No.2

Online social networking sites such as MySpace, Facebook, Twitter are becoming very preeminent, and the quantities of their users are escalating very quickly. Due to the significant escalation of security vulnerabilities in social networks, user′s confidentiality, authenticity,and privacy have been affected too. In this paper, a short study of online social network attacks is presented in order to identify the problems and impact of the attacks on World Wide Web (WWW).

Stand-Alone Wind Energy Conversion System with an Asynchronous Generator

Bhim Singh,Shailendra Sharma 전력전자학회 2010 JOURNAL OF POWER ELECTRONICS Vol.10 No.5

This paper deals with a stand-alone wind energy conversion system (WECS) with an isolated asynchronous generator (IAG) and voltage and frequency (VF) control feeding three-phase four-wire loads. The reference generator currents are estimated using the instantaneous symmetrical component theory to control the voltage and frequency of an IAG system. A three-leg voltage source converter (VSC) with an isolated star/delta transformer is used as an integrated VSC. An integrated VSC with a battery energy storage system (BESS) is used to control the active and reactive powers of the WECS. The WECS is modeled and simulated in MATLAB using the Simulink and the Sim Power System (SPS) toolboxes. The proposed VF controller functions as a voltage and frequency regulator, a load leveler, a load balancer and a harmonic eliminator in the WECS. A comparison is made on the rating of the VSC with and without ac capacitors connected at the terminals of an IAG. Simulation and test results are presented to verify the control algorithm.

Pro-(IL-18) and Anti-(IL-10) Inflammatory Promoter Genetic Variants (Intrinsic Factors) with Tobacco Exposure (Extrinsic Factors) May Influence Susceptibility and Severity of Prostate Carcinoma: A Prospective Study

Dwivedi, Shailendra,Singh, Sarvesh,Goel, Apul,Khattri, Sanjay,Mandhani, Anil,Sharma, Praveen,Misra, Sanjeev,Pant, Kamlesh Kumar Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.8

Background: It has been hypothesized that IL-18 (pro-) and IL-10 (anti-) inflammatory genetic variants at -607 C/A-137G/C and -819C/T,-592C/A, respectively, may generate susceptibility and severity risk with various modes of tobacco exposure in prostate carcinoma (PCa) patients. IL-18 is a pro-inflammatory cytokine expressed on various cells including prostate gland elements, and is a key mediator of immune responses with anti-cancerous properties. IL-10 is an anti-inflammatory cytokine that is associated with tumour malignancy which causes immune escape. Materials and Methods: The present study was conducted with 540 subjects, comprising 269 prostate carcinoma patients and 271 controls. Genotyping was performed by PCR-RFLP and confirmed by real time PCR probe-based methods. Results: The findings indicated that the mutant heterozygous and homozygous genotype CC and GC+CC showed significant negative associations (p=0.01, OR=0.21; 95% CI: 0.08-0.51 and p=0.011, OR=0.43; 95% CI: 0.22-0.81, respectively) thus, less chance to be diagnosed as cancer against GG genotype of tobacco smoking patients. In addition, a heterozygous GC genotype at the same locus of IL-18 pro-inflammatory cytokine may aggravate the severity (OR=2.82; 95%CI 1.09-7.29 :p=001) so that patients are more likely to be diagnosed in advanced stage than with the GG wild homozygous genotype. Our results also illustrated that anti-inflammatory cytokine (IL-10) genetic variants, although showing no significant association with susceptibility to cancer of the prostate, may gave profound effects on severity of the disease, as -819 TC (OR=4.60; 95%CI 1.35-15.73), and -592 AC (OR=5.04; 95%CI 1.08-25.43) of IL-10 in tobacco chewers and combined users (both chewers and smokers) respectively, are associated with diagnosis in more advanced stage than with other variants. Conclusions: We conclude that promoter genetic variants of IL-18 and IL-10 with various modes of tobacco exposure may affect not only susceptibility risk but also severity in prostate cancer.

Evaluation of Direct Anterior Approach for Revision Total Hip Arthroplasty: A Systematic Review

( Gurvinder Singh ),( Ankit Khurana ),( Shailendra Gupta ) 대한고관절학회 2021 Hip and Pelvis Vol.33 No.3

The direct anterior approach (DAA) is an established approach for total hip arthroplasty (THA) but has been sparingly tried for revisions. The purpose of this study was to examine the available literature in order to consolidate information available on revision THA using the DAA. A PubMed, Embase, and Scopus search was performed using relevant keywords. Studies reporting on patients undergoing revision THA using DAA were included for analysis. In a review of the literature, nine studies matched the pre-decided inclusion criteria with 319 hip joints undergoing revision THA. Mean follow-up of all included studies was 34 months. The indications of revision after primary THA in decreasing order were aseptic loosening (53%), prosthetic joint infection (20.7%), peri-prosthetic fracture (16.9%), dislocation (7.2%), psoas impingement (1.9%), polyethylene wear (1.2%), pain (0.6%), and instability (0.3%). Of the 319 revisions evaluated, 107 underwent a stem revision, 142 underwent cup revision, 49 underwent a combined revision, and 21 underwent isolated liner/head change. A statistically significant improvement in functional score (P<0.05) was observed for all studies reporting on functional outcomes. A low complication rate (51/319, 16.0%), which includes dislocation (12), infection (12), loosening of the acetabular shell (5), peri-prosthetic fractures (6), haematoma (4), and transient nerve palsy (6), was reported. Based on available level Ⅲ-IV evidence, DAA appears to be a reliable alternative for revision of the failed hip arthroplasty with acceptable complication rates. Evidence of a higher quality is needed to further characterize its role in revision scenarios.

Detection of Biomolecules Using Charge-Plasma Based Gate Underlap Dielectric Modulated Dopingless TFET

Sachin K. Verma,Shailendra Singh,Girish Wadhwa,Balwinder Raj 한국전기전자재료학회 2020 Transactions on Electrical and Electronic Material Vol.21 No.5

In this Paper, Dielectric Modulated Dopingless Double Gate Transistor (DM-DLDGTFET) device is proposed for the free label detection of the charged and neutral biomolecules. A charge-plasma principle is used for label-free detection of biosensors to reduce the processing complexity and cost of nanoscale products. Firstly, the simulations for the proposed device are carried using Atlas and diff erent electrical parameters are analyzed using the same. It is observed that the dielectric constant and diff erent biomolecule charges for example, protein, DNA, enzyme, cell and many more molecules aff ects the electrical characteristic of the device. The deposition of diff erent workfunction materials over silicon body will do the formation of p+ source and n+ drain region in the DM-DLDGTFET. In addition, by etching the segment of the gate oxide layer to the source end for sensing biomolecules, a nano gap cavity is embedded within the dielectric gate. When biomolecule get immobilized at cavity region, the electrostatic properties of device for example, drain current, I on /I off , subthreshold slope, average subthreshold slope, sensitivity get infl uenced. The energy band diagram and the device’s surface potential for both neutral and charged biomolecules are also discussed. For the validation of the proposed DL-TFET structure, the simulation results are calibrated with reported results and signifi cant improvement are observed in the proposed structure.