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Search Results: 1 - 10 of 80 matches for " Srivastav "
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Sufficient Fritz John Type Optimality Criteria and Duality for Control Problems  [PDF]
Iqbal Husain, Santosh K. Srivastav
American Journal of Industrial and Business Management (AJIBM) , 2013, DOI: 10.4236/ajibm.2013.32029

Sufficient Fritz John optimality conditions are obtained for a control problem in which objective functional is pseudoconvex and constraint functions are quasiconvex or semi-strictly quasiconvex. A dual to the control problem is formulated using Fritz John type optimality criteria instead of Karush-Kuhn-Tucker optimality criteria and hence does not require a regularity condition. Various duality results amongst the control problem and its proposed dual are validated under suitable generalized convexity requirements. The relationship of our duality results to those of a nonlinear programming problem is also briefly outlined.

Unnecessary & Unsafe Injections Replace Disposable by Auto-Disable Syringes
SL Srivastav
Journal of Universal College of Medical Sciences , 2013, DOI: 10.3126/jucms.v1i3.8770
Abstract: Injections are a skin procedure performed with a syringe and needle to introduce a substance for prophylactic, curative, or recreational purpose. Injections can be given intevenously, intramuscularly, intradermally, or subcutaneously. Injections are among the most frequently used medical procedures, with an estimated 12 billion injections administered worldwide. ?A large majority (more than 90%) of these injections are administered for curative purpose (for every vaccination, 20 curative injections are administered).
Scanning Electron Micrographic Investigation of Explanted (Used) Metallic Biomedical Implants for Corrosion and Other Mechanical Damage Responsible for Failure  [PDF]
Vaibhav Trivedi, Vishal Saxena, Anupam Srivastav
Materials Sciences and Applications (MSA) , 2015, DOI: 10.4236/msa.2015.610089
Abstract: This paper deals with detailed corrosion analysis of explanted devices. The study of total 6 different types of orthopedic metallic implant was carried out after collecting the clinical report from the doctors, who performed these implantations. The clinical report covered the purpose of implantation, body part where implantation was done, and physiological reasons of removal of implant. The metallurgical investigation to study corrosion and any other mechanical damage to the implant surface during their service period was done using the Scanning Electron Micrography. SEM presented in this paper reveals the presence of in-vitro corrosion and mechanical damage as well, which are corroborating well with clinical reports.
Role of Probiotics in Pancreatic Cancer Prevention: The Prospects and Challenges  [PDF]
Barkha Singhal, Ankita Mukherjee, Shubham Srivastav
Advances in Bioscience and Biotechnology (ABB) , 2016, DOI: 10.4236/abb.2016.711045
Abstract: Pancreatic cancer is expressed as a disorder of chaos that leads to impairment in biochemical and metabolic physiology of pancreas. It is considered as the most intractable and fatal among all gastrointestinal (GI) cancers. The early occurrence of metastatic spread and the development of intrinsic and acquired resistance during drug treatment limit its prognosis at the right time. The universalized treatment involves surgical resection in which only a minority (<20%) of patients qualify due to advanced stage of disease at the time of diagnosis. Despite the rigorous technological developments in understanding the molecular mechanism of pancreatic cancer, no significant advances in efficacy of chemotherapeutic treatment have been arisen till date and still present challenges to overcome. That leads to the scientists to undergo exhaustive research to find an alternative treatment and increasing focus have been given on the studies of symbiotic relationships between microbiota and host which confers benefits to the host in many key aspects of life and form a synergistic harmony so called “super-organism”. The perturbations in the regulatory circuits of the host that control homeostasis, or alterations of the microbiome, through environmental changes (infection, diet or lifestyle), may disturb this symbiotic relationship and favors carcinogenesis in the pancreas. Research studies speculating convincing evidence that, among the gut microbiota, probiotics have demonstrated their potential role in the prevention of all stages of cancer development, but the critical question has been arisen that Can probiotics be used as preventive targets for pancreatic cancer? Thus, the efforts have been directed towards to summarize the prospective and challenging role of probiotics as preventive approach for pancreatic cancer. Though prospects of probiotics in prevention of pancreatic cancer are being great challenge among research community therefore, more rigorous and well-designed in vitro, animal and clinical studies are required for worthy manifestations.
Hindi Parser-based on CKY algorithm
Nitin Hambir,Ambrish Srivastav
International Journal of Computer Technology and Applications , 2012,
Abstract: Hindi parser is a tool which takes Hindi sentence and verifies whether or not given Hindi sentence is correct according to Hindi language grammar. Parsing is important for Natural Language Processing tools. Hindi parser uses the CKY (Coke- Kasami-Younger) parsing algorithm for Parsing of Hindi language. It parses whole sentence and generate a matrix
On Selberg's approximation to the twin prime problem
R. Balasubramanian,Priyamvad Srivastav
Mathematics , 2015,
Abstract: In his Classical approximation to the Twin prime problem, Selberg proved that for $x$ sufficiently large, there is an $n \in (x,2x)$ such that $2^{\Omega(n)}+2^{\Omega(n+2)} \leq \lambda$ with $\lambda=14$, where $\Omega(n)$ is the number of prime factors of $n$ counted with multiplicity. This enabled him to show that for infinitely many $n$, $n(n+2)$ has atmost $5$ prime factors, with one having atmost $2$ and the other having atmost $3$ prime factors. By adopting Selberg's approach and using a refinement suggested by Selberg, we improve this value of $\lambda$ to about $\lambda=12.59$.
Total stretch minimization on single and identical parallel machines
Abhinav Srivastav,Denis Trystram
Computer Science , 2014,
Abstract: We consider the classical problem of scheduling $n$ jobs with release dates on both single and identical parallel machines. We measure the quality of service provided to each job by its stretch, which is defined as the ratio of its response time to processing time. Our objective is to schedule these jobs non-preemptively so as to minimize sum stretch. So far, there have been very few results for sum stretch minimization especially for the non-preemptive case. For the preemptive version, the Shortest remaining processing time (SRPT) algorithm is known to give $2$-competitive for sum stretch on single machine while its is $13$-competitive on identical parallel machines. Leonardi and Kellerer provided the strong lower bound for the more general problem of \textit{sum (weighted) flow time} in single machine and identical parallel machines, respectively . Therefore, we study this problem with some additional assumptions and present two new competitive ratio for existing algorithms. We show that the Shortest processing time (SPT) algorithm is $\Delta - \frac{1}{\Delta}+1$-competitive for non-preemptive sum stretch minimization on single machine and it is $\Delta - \frac{1}{\Delta}+ \frac{3}{2} -\frac{1}{2m}$ on $m$ identical parallel machines, where $\Delta$ is the upper bound on the ratio between the maximum and the minimum processing time of the jobs.
Streamflow Decomposition Based Integrated ANN Model  [PDF]
Nikhil Bhatia, Laksha Sharma, Shreya Srivastava, Nidhish Katyal, Roshan Srivastav
Open Journal of Modern Hydrology (OJMH) , 2013, DOI: 10.4236/ojmh.2013.31003

The prediction of riverflows requires the understanding of rainfall-runoff process which is highly nonlinear, dynamic and complex in nature. In this research streamflow decomposition based integrated ANN (SD-ANN) model is developed to improve the efficacy rather than using a single ANN model for the flow hydrograph. The streamflows are decomposed into two states namely 1) the rise state and 2) the fall state. The rainfall-runoff data obtained from the Kolar River basin is used to test the efficacy of the proposed model when compared to feed-forward ANN model (FF-ANN). The results obtained in this study indicate that the proposed SD-ANN model outperforms the single ANN model in terms of both the statistical indices and the prediction of high flows.

Piezoelectric Vibration Harvesters Based on Vibrations of Cantilevered Bimorphs: A Review  [PDF]
Anam Khalid, Amit Kumar Redhewal, Manoj Kumar, Anupam Srivastav
Materials Sciences and Applications (MSA) , 2015, DOI: 10.4236/msa.2015.69084
Abstract: With the advancement in the technologies around the world over the past few years, the microelectromechanical systems (MEMS) have gained much attention in harvesting the energy for wireless, self-powered and MEMS devices. In the present era, many devices are available for energy harnessing such as electromagnetic, electrostatic and piezoelectric generator and these devices are designed based on its ability to capture the different form of environment energy such as solar energy, wind energy, thermal energy and convert it into the useful energy form. Out of these devices, the use of a piezoelectric generator for energy harvesting is very attractive for MEMS applications. There are various sources of harvestable energy including waste heat, solar energy, wind energy, energy in floating water and mechanical vibrations which are used by the researchers for energy harvesting purposes. This paper reviews the state-of-the-art in harvesting mechanical vibrations as an energy source by various generators (such as electromagnetic, electrostatic and piezoelectric generators). Also, the design and characteristics of piezoelectric generators, using vibrations of cantilevered bimorphs, for MEMS have also been reviewed here. Electromagnetic, electrostatic and piezoelectric generators presented in the literature are reviewed by taking into an account the power output, frequency, acceleration, dimension and application of each generator and the coupling factor of each transduction mechanism has also been discussed for all the devices.
Dual Artificial Neural Network for Rainfall-Runoff Forecasting  [PDF]
Pallavi Mittal, Swaptik Chowdhury, Sangeeta Roy, Nikhil Bhatia, Roshan Srivastav
Journal of Water Resource and Protection (JWARP) , 2012, DOI: 10.4236/jwarp.2012.412118
Abstract: One of the principal issues related to hydrologic models for prediction of runoff is the estimation of extreme values (floods). It is well understood that unless the models capture the dynamics of rainfall-runoff process, the improvement in prediction of such extremes is far from reality. In this paper, it is proposed to develop a dual (combined and paralleled) artificial neural network (D-ANN), which aims to improve the models performance, especially in terms of extreme values. The performance of the proposed dual-ANN model is compared with that of feed forward ANN (FF-ANN) model, the later being the most common ANN model used in hydrologic literature. The forecasting exercise is carried out for hourly river flow data of Kolar Basin, India. The results of the comparison indicate that the D-ANN model performs better than the FF-ANN model.
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