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Search Results: 1 - 10 of 284 matches for " Richa Thapliyal "
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Generalized Entropy of Order Statistics  [PDF]
Richa Thapliyal, H. C. Taneja
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.312272
Abstract: In this communication, we consider and study a generalized two parameters entropy of order statistics and derive bounds for it. The generalized residual entropy using order statistics has also been discussed.
A note on characterization based on past entropy
Richa Thapliyal,H. C. Taneja
Statistics , 2012,
Abstract: Ebrahimi (1996) has shown that the measure of residual entropy characterizes the distribution function uniquely. In this communication we study an analogous result for past entropy.
Investigation on Temperature Sensing of Nanostructured Zinc Oxide Synthesized via Oxalate Route  [PDF]
Richa Srivastava
Journal of Sensor Technology (JST) , 2012, DOI: 10.4236/jst.2012.21002
Abstract: A detailed study is reported of the synthesis and characterization of n- type ZnO nanomaterial and its application as temperature sensor. The ZnO nanomaterial has been synthesized through pyrolysis of the oxalate produced by a conventional precipitation method. It is synthesized by flash heating the oxalate at 450°C for 15 min. Pellet of this material was prepared and used as a sensing element. The variations in resistance of sensing pellet at different temperatures were recorded. The relative resistance was decreased linearly with increasing temperatures over the range, 120°C - 260°C. The activation energy of ZnO calculated from Arrhenius plot was found 1.12 eV. Temperature response in terms of the relative variation, ΔR, of sensor resistance to a given temperature was measured. Scanning electron micrograph of the sensing element has been studied. Pellet of the ZnO is comprised of nanorods of varying diameters and different lengths. Diameter of ZnO nanorods varies from 75 to 300 nm. X-ray diffraction pattern of the sensing element reveal their nano-crystalline nature. Optical characterization of the sensing material was carried out by UV-visible spectrophotometer. By UV-Vis spectra, the estimated value of band gap of ZnO was found 4.7 eV.
Risk Assessment of Land Subsidence in Kathmandu Valley, Nepal, Using Remote Sensing and GIS  [PDF]
Richa Bhattarai, Akihiko Kondoh
Advances in Remote Sensing (ARS) , 2017, DOI: 10.4236/ars.2017.62010
Abstract: Land subsidence is identified as a global problem and intensive studies are being conducted worldwide to detect and monitor risk of this problem. Risk assessment of land subsidence is simply an evaluation of the probability and frequency of occurrence of land subsidence, exposure of people and property to the subsidence and consequence of that exposure. Remote sensing technology was used to extract information of land subsidence in Kathmandu Valley, Nepal. Also, Disaster Risk Index method and Analytic Hierarchy Process (AHP) along with Geographic Information System (GIS) tools were used to assess risk of land subsidence in Kathmandu Valley, Nepal. Subsidence volume for locations Central Kathmandu, Chauni, Lalitpur, Imadol, Thimi, Madhyaour Thimi, New Baneshwor, Koteshwor and Gothatar was calculated using a simple mathematical formula. The subsidence depth for these locations was found to be in a range of 1 cm to 17 cm and the maximum subsidence velocity was found to be 4.8 cm/yr. This study revealed that the location where maximum subsidence was observed (i.e. Central Kathmandu and Lalitpur) was found to be at high risk of experiencing land subsidence induced damage. Other location where subsidence was observed was found to be at medium risk and the rest of the Kathmandu valley was found to be at low risk with current data situation. This study can be considered as the first step towards other comprehensive study relating to land subsidence risk assessment. The outcome of this research provides a basic understanding of the current situation that can further assist in developing prevention and risk management techniques.
On Multipartite Pure-State Entanglement
Ashish V. Thapliyal
Physics , 1998, DOI: 10.1103/PhysRevA.59.3336
Abstract: We show that pure states of multipartite quantum systems are multiseparable (i.e. give separable density matrices on tracing any party) if and only if they have a generalized Schmidt decomposition. Implications of this result for the quantification of multipartite pure-state entanglement are discussed. Further, as an application of the techniques used here, we show that any purification of a bipartite PPT bound entangled state is tri-inseparable, i.e. has none of its three bipartite partial traces separable.
Reversible Logic to Cryptographic Hardware: A New Paradigm
Himanshu Thapliyal,Mark Zwolinski
Computer Science , 2006,
Abstract: Differential Power Analysis (DPA) presents a major challenge to mathematically-secure cryptographic protocols. Attackers can break the encryption by measuring the energy consumed in the working digital circuit. To prevent this type of attack, this paper proposes the use of reversible logic for designing the ALU of a cryptosystem. Ideally, reversible circuits dissipate zero energy. Thus, it would be of great significance to apply reversible logic to designing secure cryptosystems. As far as is known, this is the first attempt to apply reversible logic to developing secure cryptosystems. In a prototype of a reversible ALU for a crypto-processor, reversible designs of adders and Montgomery multipliers are presented. The reversible designs of a carry propagate adder, four-to-two and five-to-two carry save adders are presented using a reversible TSG gate. One of the important properties of the TSG gate is that it can work singly as a reversible full adder. In order to design the reversible Montgomery multiplier, novel reversible sequential circuits are also proposed which are integrated with the proposed adders to design a reversible modulo multiplier. It is intended that this paper will provide a starting point for developing cryptosystems secure against DPA attacks.
Reversible Logic Based Concurrent Error Detection Methodology For Emerging Nanocircuits
Himanshu Thapliyal,Nagarajan Ranganathan
Computer Science , 2011,
Abstract: Reversible logic has promising applications in emerging nanotechnologies, such as quantum computing, quantum dot cellular automata and optical computing, etc. Faults in reversible logic circuits that result in multi-bit error at the outputs are very tough to detect, and thus in literature, researchers have only addressed the problem of online testing of faults that result single-bit error at the outputs based on parity preserving logic. In this work, we propose a methodology for the concurrent error detection in reversible logic circuits to detect faults that can result in multi-bit error at the outputs. The methodology is based on the inverse property of reversible logic and is termed as 'inverse and compare' method. By using the inverse property of reversible logic, all the inputs can be regenerated at the outputs. Thus, by comparing the original inputs with the regenerated inputs, the faults in reversible circuits can be detected. Minimizing the garbage outputs is one of the main goals in reversible logic design and synthesis. We show that the proposed methodology results in 'garbageless' reversible circuits. A design of reversible full adder that can be concurrently tested for multi-bit error at the outputs is illustrated as the application of the proposed scheme. Finally, we showed the application of the proposed scheme of concurrent error detection towards fault detection in quantum dot cellular automata (QCA) emerging nanotechnology.
Implementation and Performance Analysis of Particle Swarm Optimization Algorithm Using MATLAB
Richa Agrawal
International Journal of Artificial Intelligence & Knowledge Discovery , 2012,
Abstract: PSO utilises the population of partiocles that fly through hyperspace with given velocities.. As described by Eberhart and Dr. James Kennedy, the PSO algorithm is an adaptive algorithm based on social psychological metaphor; a population of individual (referred to as particles) adapts by returning stochastically towards previously successful regions. PSO is a computational intelligence based technique that is not largely affected by the size and non linearity of the problem and can converge to the optimal solution in many problems where most analytical methods fail to converge. PSO learned from the scenario of bird flocking and used it to solve the optimization problems. In PSO, each single solution is a "bird" in the search space. We call it "particle". All of particles have fitness values which are evaluated by the fitness function to be optimized, and have velocities which direct the flying of the particles. The particles fly through the problem space by following the current optimum particles. In this paper we are describing a basic PSO algorithm and the algorithm is simulated with mat lab .The simulations are performed with different parameters. Results and Graphs clearly show that the PSO Algorithms are effective for optimization problems. Algorithm has Simple implementation, easily parallelized for concurrent processing, Derivative free with few algorithm parameters, Very efficient global search algorithm, higher accuracy (mesh densities) and higher throughput.
Development Platforms for Mobile Applications: Status and Trends
Richa Sharma
International Journal of Computers & Technology , 2012,
Abstract: : In the last decade, Mobile devices have seen tremendous growth in hardware and gained vast acceptance as target devices for developing highly-interactive multimedia-rich applications. Various software firms have started promoting their programming platforms and tools specifically modified to satisfy the requirements of users, developers and heterogeneous mobile devices. This paper reviews the main features as well as the relative qualities and limitation of the most popular mobile platform development options currently available for mobile devices application development. This paper aims to serve as a reference material and guide for developers and users in choosing a specific mobile platform for development. This paper also provides a focused overview of widespread mobile platforms covering Java ME, .NET Compact Framework, Flash Lite and Android and then it evaluates and compares those upon various criteria.
Explorations into the Essence of English—Chinese and Chinese—English Translation Based on Relevance Theory
Richa Hu
English Language Teaching , 2009, DOI: 10.5539/elt.v2n2p12
Abstract: The relevance theory is a cognitive pragmatic theory considerably influential in the West in recent years, though its impacts have gone far beyond the limits of pragmatics. Translation ranks among the disciplines most influenced by relevance theory, which has drawn attention of Chinese scholars in the past decades. However, the impacts of relevance theory on translation in China are far from being strong with inadequate relevant documents. Relevance theory has not only revealed the essence of translation and the subjects of translation study, but also falsified the untranslatability and the principle of equivalence; relevance theory can also help translators to accurately understand and convey the intentions of the source communicators and cater for the cognitive context of the recipients of translation.
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