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Search Results: 1 - 10 of 7493 matches for " Richa Gupta "
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Journey from Data Mining to Web Mining to Big Data
Richa Gupta
Computer Science , 2014, DOI: 10.14445/22312803/IJCTT-V10P104
Abstract: This paper describes the journey of big data starting from data mining to web mining to big data. It discusses each of this method in brief and also provides their applications. It states the importance of mining big data today using fast and novel approaches.
Web Mining using Artificial Ant Colonies: A Survey
Richa Gupta
Computer Science , 2014, DOI: 10.14445/22312803/IJCTT-V10P103
Abstract: Web mining has been very crucial to any organization as it provides useful insights to business patterns. It helps the company to understand its customers better. As the web is growing in pace, so is its importance and hence it becomes all the more necessary to find useful patterns. Here in this paper, web mining using ant colony optimization has been reviewed with some of its experimental results.
Information Hiding and Attacks : Review
Richa Gupta
Computer Science , 2014, DOI: 10.14445/22312803/IJCTT-V10P105.
Abstract: Information Hiding is considered very important part of our lives. There exist many techniques for securing the information. This paper briefs on the techniques for information hiding and the potential threats to those methods. This paper briefs about cryptanalysis and stegananlysis, two methods for breaching into the security methods.
Study of Signal Denoising using Kaiser Window and Butterworth Filter
Richa Gupta,Onkar Chand
International Journal of Electronics and Computer Science Engineering , 2012,
Abstract: A signal in the communication system is the information containing part which is to be process, but during the processing of the signal some noise is added in the signal and signal becomes noisy. This is now mandatory to eliminate this noise from the signal to get information from the signal. In this paper, a wavelet filter based on Butterworth IIR filter and Kaiser Window FIR filter is designed for the signal analysis. Butterworth low pass IIR filter has limited application in signal denoising. It has maximally flat response in the pass band and, therefore, the filter has distorted output. It makes Butterworth filter little applicable in communication systems and other signal analysis technique. The newly designed matched wavelet filter presents a new concept for better signal analysis and disturbance detection in the communication systems. The limitation of Butterworth low pass filter in signal denoising and other applications can be eliminated by using this matched wavelet filter. We have improved performance in signal filtering by using Kaiser Wavelet filter. This Wavelet filter finds applications in signal analysis, communication system and image compression with a lot of other fields.
Optimization of Integer Order Integrators for Deriving Improved Models of Their Fractional Counterparts
Maneesha Gupta,Richa Yadav
Journal of Optimization , 2013, DOI: 10.1155/2013/142390
Abstract: Second and third order digital integrators (DIs) have been optimized first using Particle Swarm Optimization (PSO) with minimized error fitness function obtained by registering mean, median, and standard deviation values in different random iterations. Later indirect discretization using Continued Fraction Expansion (CFE) has been used to ascertain a better fitting of proposed integer order optimized DIs into their corresponding fractional counterparts by utilizing their refined properties, now restored in them due to PSO algorithm. Simulation results for the comparisons of the frequency responses of proposed 2nd and 3rd order optimized DIs and proposed discretized mathematical models of half integrators based on them, with their respective existing operators, have been presented. Proposed integer order PSO optimized integrators as well as fractional order integrators (FOIs) have been observed to outperform the existing recently published operators in their respective domains reasonably well in complete range of Nyquist frequency. 1. Introduction In fractional calculus (FC) initially the development of mathematical models of fractional order integrators (FOIs) and fractional order differentiators (FODs) [1, 2] started presumably for searching different generalizing approaches for switching from integer order to the fractional order domain. The frequency response of ideal fractional order differ-integrator is where and gives angular frequency in radians. Variable “ ” defines the order of fractional order operators and its value lies in between 0 and 1. Due to its exotic nature FC has strengthened its grasp over different research areas such as statistical modeling, mechanical system analysis [3], control [4], automated control [5], instrumentation [6], signal processing [7], and radio engineering and image processing [8, 9]. At present time, FC is also extensively spreading its niche in different design methods for improving fractional order controllers by fractional integral and derivative functions [10, 11]. An important design method which has undoubtedly helped in sharpening up the focus of an efficient formulation of new blocks of fractional operators is “linear interpolation” method [12–16]. This most vastly followed tri-step method involves the following steps. (1) First step deals with linear interpolation of two existing digital integrators. (2) In second step, a new fractional order integrator is formulated by discretization of integer order integrator developed in first step by anyone of the two existing discretization (direct and indirect)
Proficient Pair of Replacement Algorithms on L1 and L2 Cache for Merge Sort
Richa Gupta,Sanjiv Tokekar
Computer Science , 2010,
Abstract: Memory hierarchy is used to compete the processors speed. Cache memory is the fast memory which is used to conduit the speed difference of memory and processor. The access patterns of Level 1 cache (L1) and Level 2 cache (L2) are different, when CPU not gets the desired data in L1 then it accesses L2. Thus the replacement algorithm which works efficiently on L1 may not be as efficient on L2. Similarly various applications such as Matrix Multiplication, Web, Fast Fourier Transform (FFT) etc will have varying access pattern. Thus same replacement algorithm for all types of application may not be efficient. This paper works for getting an efficient pair of replacement algorithm on L1 and L2 for the algorithm Merge Sort. With the memory reference string of Merge Sort, we have analyzed the behavior of various existing replacement algorithms on L1. The existing replacement algorithms which are taken into consideration are: Least Recently Used (LRU), Least Frequently Used (LFU) and First In First Out (FIFO). After Analyzing the memory reference pattern of Merge Sort, we have proposed a Partition Based Replacement algorithm (PBR_L1)) on L1 Cache. Furthermore we have analyzed various pairs of algorithms on L1 and L2 respectively, resulting in finding a suitable pair of replacement algorithms. Simulation on L1 shows, among the considered existing replacement algorithms FIFO is performing better than others. While the proposed replacement algorithm PBR_L1 is working about 1.7% to 44 % better than FIFO for various cache sizes.
Design of Low-Voltage, Low-Power FGMOS Based Voltage Buffer, Analog Inverter and Winner-Take-All Analog Signal Processing Circuits  [PDF]
Akanksha Ninawe, Richa Srivastava, Akanksha Dewaker, Maneesha Gupta
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.71001
Abstract: This paper proposes novel floating-gate MOSFET (FGMOS) based Voltage Buffer, Analog Inverter and Winner-Take-All (WTA) circuits. The proposed circuits have low power dissipation. All proposed circuits are simulated using SPICE in 180 nm CMOS technology with supply voltages of ±1.25 V. The simulation results demonstrate increase in input range for FGMOS based voltage buffer and analog inverter and maximum power dissipation of 0.5 mW, 1.9 mW and 0.429 mW for FGMOS based voltage buffer, analog inverter and WTA circuits, respectively. The proposed circuits are intended to find applications in low voltage, low power consumer electronics.
Effect of germinated Glycine max seeds on glycemic control in STZ+NAD induced type 2 diabetic models: a preliminary study
Richa Gupta,Suman Bala Sharma
Journal of Experimental and Integrative Medicine , 2012,
Abstract: Objective: Glycine max (soybean) is a legume (Fabaceae) native to East Asia. Glycine max seeds are a powerful stimulant of immune system, used to decrease menopause symptoms, estrogen, treat certain types of cancers including that of the breast, lungs, prostate. It is also used for treating diabetes, liver and kidney disorders. The study aimed to investigate the effect of germinated Glycine max seeds on glycemic control in Streptozotocin (STZ) plus Nicotinamide (NAD) induced type 2 diabetic rats. Methods: The effect of Glycine max seed extract at the dose of 100, 200, 400 mg/kg b.w, respectively, germinated at different time intervals was investigated in STZ+NAD induced diabetic rats. The study was conducted for 21 days to investigate the effect of extract on blood biochemical parameters indicative of hyperglycemia; fasting blood glucose (FBG), oral glucose tolerance test (OGTT), glycosylated hemoglobin (GHb) and lipid profile, i.e. total cholesterol (TC), low and high density lipoprotein cholesterol (LDL-c and HDL-c) and triacylglycerol (triglycerides, TG) levels. Results: Aqueous extract (200 mg/kg b.w) of 12 h soaked and germinated Glycine max seeds produced significant reduction in FBG after 90 min (9.6%) and 3 h (15.6%) of administration. When the extract (200 mg/kg) was administered daily for three weeks to diabetic rats, significant fall in FBG (48.6%) and GHb (30.2%) was observed. Glucose tolerance was also found to be improved. Extract also showed significant hypolipidemic effect in diabetic rats as apparent from fall in TG, TC and LDL-c, and significant improvement on HDL-c. Conclusion: The results suggest that aqueous extract of 12 h germinated Glycine max seeds possess antihyperglycemic as well as hypolipidemic activity. [J Exp Integr Med 2012; 2(2.000): 155-160]
Seroprevalence of HIV in pregnant women in North India: a tertiary care hospital based study
Swati Gupta, Richa Gupta, Sarman Singh
BMC Infectious Diseases , 2007, DOI: 10.1186/1471-2334-7-133
Abstract: Blood samples from pregnant women attending antenatal clinics at the All India Institute of Medical Sciences, New Delhi were collected after informed consent and pre-test counseling. The samples were tested for HIV antibodies as per the WHO guidelines, over a period of four years from January 2003 to December 2006.Of the 3529 pregnant women tested in four years, 0.88% (CI 0.5 – 1.24) women were found to be HIV seroreactive. Majority of the seroreactive pregnant women (41.9%) were in the age group of 20–24 years followed by the 30–34 yrs (25.8%) and 25–29 years (22.6%) age group. The mean age of the HIV positive women was 24.9 years (SD ± 1.49 yrs). The HIV seroprevalence rates showed an increasing trend from 0.7% (CI 0.14 – 2.04) in 2003–2004 to 0.9% (CI 0.49 – 1.5) in 2005–2006. This prevalence rate indicates concern, as Delhi and its adjoining states are otherwise considered as 'low prevalence states'.Seroprevalence of HIV infection was found to be increasing in the last four years amongst pregnant women of North India. These findings are in contrast to the national projections.India is categorized as a low prevalence nation for HIV with a seroprevalence rate of less than 1% among the adult population [1]. The country experienced a sharp increase in the estimated number of HIV infections, from a few thousand in the early 1990s to around 5.2 million adults and children living with HIV/AIDS in 2005 [2]. In view of our large population pool of one billion plus, a mere 0.1 per cent increase in the prevalence rate will raise the number of persons living with HIV by over half a million. In India, the predominant mode of HIV transmission is through heterosexual contact [3], therefore, unsuspecting women are at high risk of getting the infection.The trend of new or incident infections, especially in young people who have recently become sexually active, is the most sensitive marker to track the course of the HIV epidemic. Unfortunately, incidence is hard to measure direct
Big Data: Overview
Richa Gupta,Sunny Gupta,Anuradha Singhal
Computer Science , 2014, DOI: 10.14445/22312803/IJCTT-V9150
Abstract: Big data is data that exceeds the processing capacity of traditional databases. The data is too big to be processed by a single machine. New and innovative methods are required to process and store such large volumes of data. This paper provides an overview on big data, its importance in our live and some technologies to handle big data.
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