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Search Results: 1 - 10 of 326014 matches for " Durg S. Chauhan "
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Voltage Mode Cascadable AllPass Sections Using Single Active Element and Grounded Passive Components  [PDF]
Jitendra Mohan, Sudhanshu Maheshwari, Durg S. Chauhan
Circuits and Systems (CS) , 2010, DOI: 10.4236/cs.2010.11002
Abstract: In this paper, four new first order voltage mode cascadable allpass sections are proposed using single active element and three grounded passive components, ideal for IC implementation. The active element used is a fully differential current conveyor. All the proposed circuit possess high input and low output impedance feature which is a desirable feature for voltagemode circuits. Nonideality aspects and parasitic effects are also given. As an application, a multiphase oscillator is designed. The proposed circuits are verified through PSPICE simulation results using TSMC 0.35 µm CMOS parameters.
Universal Current-Controlled Current-Mode Biquad Filter Employing MO-CCCCTAs and Grounded Capacitors  [PDF]
Sajai Vir Singh, Sudhanshu Maheshwari, Durg Singh Chauhan
Circuits and Systems (CS) , 2010, DOI: 10.4236/cs.2010.12006
Abstract: This paper presents a universal current-controlled current-mode biquad filter employing current controlled current conveyor trans-conductance amplifiers (CCCCTAs). The proposed filter employs only three MO- CCCCTAs and two grounded capacitors. The proposed filter can simultaneously realize low pass (LP), band pass (BP), high pass (HP), band reject (BR) and all pass (AP) responses in current form by choosing appropriate current output branches. In addition, the pole frequency and quality factor of the proposed filter circuit can be tuned independently and electronically over the wide range by adjusting the external bias currents. The circuit possesses low active and passive sensitivity performance. The validity of proposed filter is verified through PSPICE simulations.
Single MO-CCCCTA-Based Electronically Tunable Current/Trans-Impedance-Mode Biquad Universal Filter  [PDF]
Sajai Vir Singh, Sudhanshu Maheshwari, Durg Singh Chauhan
Circuits and Systems (CS) , 2011, DOI: 10.4236/cs.2011.21001
Abstract: This paper presents an electronically tunable current/trans-impedance-mode biquad universal filter employing only single multi-output current controlled current conveyor trans-conductance amplifier (MO-CCCCTA) and two grounded capacitors. The proposed filter realizes all the standard filter func-tions i.e. low pass (LP), band pass (BP) and high pass (HP), notch and all pass (AP) filters in the current form at high impedance output through appropriate selection of the input signals, without any matching conditions. Simultaneously, it can also realize all the standard filter functions in trans-impedance form from the same circuit topology. The circuit does not require inverting-type input current signal(s) and double input current signal(s) to realize all the responses in the design. The validity of proposed filter is verified through PSPICE simulations.
Current Processing Current Tunable Universal Biquad Filter Employing Two CCTAs and Two Grounded Capacitors  [PDF]
Ravindra Singh Tomar, Sajai Vir Singh, Durg Singh Chauhan
Circuits and Systems (CS) , 2013, DOI: 10.4236/cs.2013.46058
Abstract:

This paper presents a current processing current-tunable universal biquad filter employing two current conveyor transconductance amplifiers (CCTAs) as active element and two grounded capacitors as passive element. It realizes all the five standard filtering responses such as low pass (LP), band pass (BP), high pass (HP), band reject (BR) and all pass (AP) through appropriate selection of applied current inputs. Proposed circuit does not require minus input current signal and double input current signal to realize different filtering responses. It also does not require component matching condition to realize any filtering responses. Moreover, the circuit offers the advantage of orthogonal electronic tunability of pole-frequency and quality factor. The circuit exhibits low active and passive sensitivities. The circuit performance is verified through P-SPICE simulation software.

Embedded Controller Based Smart Card Access
Vivek Kumar Sehgal,Nitin,Durg Singh Chauhan
Lecture Notes in Engineering and Computer Science , 2008,
Abstract:
Image Based Authentication System with Sign-In Seal
Nitin,Vivek Kumar Sehgal,Durg Singh Chauhan,Munish Sood
Lecture Notes in Engineering and Computer Science , 2008,
Abstract:
Analysis on Energy Optimized Data Collection in Tree Based Ad-Hoc Sensor Network
Sharad,Shailendra Mishra,Ashok Kumar Sharma,Durg Singh Chauhan
International Journal of Modern Education and Computer Science , 2012,
Abstract: Fast and energy efficient data collection in an energy constraint ad-hoc sensor network is always a challenging issue. The network topology and interferences causes significant effects on data collection and hence on sensors’ energy usage. Various approaches using single channel, multichannel and convergecasting had already been proposed. Here in this paper we have shown data collection performance using multi-frequency in channel assignment, and effect of network topology, for moderate size networks of about 50-100 nodes. For the study we have used some realistic simulation models under many-to-one communication paradigm called convergecast, a single frequency channel and TDMA technique to have minimum time slots for convergecasting
Disjoint Paths Multi-stage Interconnection Networks Stability Problem
Ravi Rastogi,Nitin,Durg Singh Chauhan,Mahesh Chandra Govil
International Journal of Computer Science Issues , 2011,
Abstract: This research paper emphasizes that the Stable Matching problems are the same as the problems of stable configurations of Multi-stage Interconnection Networks (MIN). The authors have solved the Stability Problem of Existing Regular Gamma Multistage Interconnection Network (GMIN), 3-Disjoint Gamma Multi-stage Interconnection Network (3DGMIN) and 3-Disjoint Path Cyclic Gamma Multi-stage Interconnection Network (3DCGMIN) using the approaches and solutions provided by the Stable Matching Problem. Specifically Stable Marriage Problem is used as an example of Stable Matching. For MINs to prove Stable two existing algorithms are used:-the first algorithm generates the MINs Preferences List in O(n2 ) time and second algorithm produces a set of most Optimal Pairs of the Switching Elements (SEs) (derived from the MINs Preferences List) in O(n) time. Moreover, the paper also solves the problem of Ties that occurs between the Optimal Pairs. The results are promising as the comparison of the MINs based on their stability shows that the ASEN, ABN, CLN, GMIN, 3DCGMIN are highly stable in comparison to HZTN, QTN, DGMIN. However, on comparing the irregular and regular MINs in totality upon their stability the regular MINs comes out to be more stable than the irregular MINs.
On Stability Problems of Omega and 3-Disjoint Paths Omega Multi-stage Interconnection Networks
Ravi Rastogi,Nitin,Durg Singh Chauhan,Mahesh Chandra Govil
International Journal of Computer Science Issues , 2011,
Abstract: The research paper emphasizes that the Stable Matching problems are the same as the problems of stable configurations of Multi-stage Interconnection Networks (MIN). We have discusses the Stability Problems of Existing Regular Omega Multi-stage Interconnection Network (OMIN) and Proposed 3-Disjoint Paths Omega Multi-stage Interconnection Network (3DON) using the approaches and solutions provided by the Stable Matching Problem. Specifically, Stable Marriage Problem is used as an example of Stable Matching. On application of the concept of the Stable Marriage over the MINs states that OMIN is highly stable in comparison to 3DON.
A Benchmark to Select Data Mining Based Classification Algorithms for Business Intelligence and Decision Support Systems
Pardeep Kumar,Nitin,Vivek Kumar Sehgal,Durg Singh Chauhan
International Journal of Data Mining & Knowledge Management Process , 2012,
Abstract: In today’s business scenario, we percept major changes in how managers use computerized support inmaking decisions. As more number of decision-makers use computerized support in decision making,decision support systems (DSS) is developing from its starting as a personal support tool and is becomingthe common resource in an organization. DSS serve the management, operations, and planning levels of anorganization and help to make decisions, which may be rapidly changing and not easily specified inadvance. Data mining has a vital role to extract important information to help in decision making of adecision support system. It has been the active field of research in the last two-three decades. Integration ofdata mining and decision support systems (DSS) can lead to the improved performance and can enable thetackling of new types of problems. Artificial Intelligence methods are improving the quality of decisionsupport, and have become embedded in many applications ranges from ant locking automobile brakes tothese days interactive search engines. It provides various machine learning techniques to support datamining. The classification is one of the main and valuable tasks of data mining. Several types ofclassification algorithms have been suggested, tested and compared to determine the future trends based onunseen data. There has been no single algorithm found to be superior over all others for all data sets.Various issues such as predictive accuracy, training time to build the model, robustness and scalabilitymust be considered and can have tradeoffs, further complex the quest for an overall superior method. Theobjective of this paper is to compare various classification algorithms that have been frequently used indata mining for decision support systems. Three decision trees based algorithms, one artificial neuralnetwork, one statistical, one support vector machines with and without adaboost and one clusteringalgorithm are tested and compared on four datasets from different domains in terms of predictive accuracy,error rate, classification index, comprehensibility and training time. Experimental results demonstrate thatGenetic Algorithm (GA) and support vector machines based algorithms are better in terms of predictiveaccuracy. Former shows highest comprehensibility but is slower than later. From the decision tree basedalgorithms, QUEST produces trees with lesser breadth and depth showing more comprehensibility. Thisresearch work shows that GA based algorithm is more powerful algorithm and shall be the first choice oforganizations for their decision support
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