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OALib Journal期刊

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Artificial Neural Network Application for Power Transfer Capability and Voltage Calculations in Multi-Area Power System
Palukuru NAGENDRA,Sunita Halder NEE DEY,Tanaya DUTTA
Leonardo Electronic Journal of Practices and Technologies , 2010,
Abstract: In this study, the use of artificial neural network (ANN) based model, multi-layer perceptron (MLP) network, to compute the transfer capabilities in a multi-area power system was explored. The input for the ANN is load status and the outputs are the transfer capability among the system areas, voltage magnitudes and voltage angles at concerned buses of the areas under consideration. The repeated power flow (RPF) method is used in this paper for calculating the power transfer capability, voltage magnitudes and voltage angles necessary for the generation of input-output patterns for training the proposed MLP neural network. Preliminary investigations on a three area 30-bus system reveal that the proposed model is computationally faster than the conventional method.
Quantum integrability of bosonic Massive Thirring model in continuum
Tanaya Bhattacharyya
Physics , 2004, DOI: 10.1063/1.1818722
Abstract: By using a variant of the quantum inverse scattering method, commutation relations between all elements of the quantum monodromy matrix of bosonic Massive Thirring (BMT) model are obtained. Using those relations, the quantum integrability of BMT model is established and the S-matrix of two-body scattering between the corresponding quasi particles has been obtained. It is observed that for some special values of the coupling constant, there exists an upper bound on the number of quasi-particles that can form a quantum-soliton state of BMT model. We also calculate the binding energy for a N-soliton state of quantum BMT model.
Massive Transfusion of 5 U Packed Redblood Cells, 3 U Fresh Frozen Plasma, and 160 cc of Platelets in a 14-Month-Old Patient
Staci Cameron,Tanaya Sparkle
- , 2016, DOI: 10.12659/AJCR.896820
Abstract:
A Framework to Identify Economic and Community Benefits of the Proposed BRT System in Southeast Michigan  [PDF]
Utpal Dutta
Current Urban Studies (CUS) , 2017, DOI: 10.4236/cus.2017.52010
Abstract: In recent years, Bus Rapid Transit (BRT) has generated great interest across the United States. There are more than 20 BRT systems in existence and more are in the planning stage (including Detroit). Within the next few years, BRT will be planned and implemented phase by phase in various parts of Southeast Michigan. The purpose of this paper is to present a framework to identify probable economic and community benefits (quantitative as well as qualitative) of BRT in Southeast Michigan. Taxable Real Estate property, employment sector, population age group, daily vehicle miles traveled, as well as congestion level data were reviewed to identify Southeast Michigan’s current and future trends. A Shift-Share analysis using data from Cleveland was performed to determine BRT-advantaged age group. The authors suggested a number of action items to attract choice riders and excite transit dependent riders to the planned BRT system. Based on the literature review and analysis, the authors identified BRT-advantaged job sectors and age-groups within the Southeast Michigan region. As BRT will be implemented in phases, it will affect the amount, type and time of investment. Considering this uncertainty in implementation, projected economic benefit as a function of type and amount of investment was presented. It is to be noted that in order to achieve the desired outcome the system must be planned/designed/implemented within the context of Southeast Michigan rather than just copying a successful system from somewhere else.
Molecular Motors—Self-Organization of Cytoskeletal Network  [PDF]
Kishore Dutta
Yangtze Medicine (YM) , 2017, DOI: 10.4236/ym.2017.14021
Abstract: Molecular motors play an important role in the organization of cytoskeletal filament networks. These nanometer-sized natural molecular machines opened up a new frontier of nano-technology. This article describes biomolecular nano-machines, their internal structures, and dynamical interactions between molecular motors and their molecular tracks which reorganize a network of long protein filaments, particularly during cell division to form cytoskeleton of daughter cells. Towards the end, the article also takes up some still-to-be resolved matters and prospects for future developments in this exciting multidisciplinary area of science.
Image Similarity Using Sparse Representation and Compression Distance
Tanaya Guha,Rabab K. Ward
Computer Science , 2012,
Abstract: A new line of research uses compression methods to measure the similarity between signals. Two signals are considered similar if one can be compressed significantly when the information of the other is known. The existing compression-based similarity methods, although successful in the discrete one dimensional domain, do not work well in the context of images. This paper proposes a sparse representation-based approach to encode the information content of an image using information from the other image, and uses the compactness (sparsity) of the representation as a measure of its compressibility (how much can the image be compressed) with respect to the other image. The more sparse the representation of an image, the better it can be compressed and the more it is similar to the other image. The efficacy of the proposed measure is demonstrated through the high accuracies achieved in image clustering, retrieval and classification.
Algorithmic Optimization of BDDs and Performance Evaluation for Multi-level Logic Circuits with Area and Power Trade-offs  [PDF]
Saurabh Chaudhury, Anirban Dutta
Circuits and Systems (CS) , 2011, DOI: 10.4236/cs.2011.23031
Abstract: Binary Decision Diagrams (BDDs) can be graphically manipulated to reduce the number of nodes and hence the area. In this context, ordering of BDDs play a major role. Most of the algorithms for input variable ordering of OBDD focus primarily on area minimization. However, suitable input variable ordering helps in minimizing the power consumption also. In this particular work, we have proposed two algorithms namely, a genetic algorithm based technique and a branch and bound algorithm to find an optimal input variable order. Of course, the node reordering is taken care of by the standard BDD package buddy-2.4. Moreover, we have evaluated the performances of the proposed algorithms by running an exhaustive search program. Experi-mental results show a substantial saving in area and power. We have also compared our techniques with other state-of-art techniques of variable ordering for OBDDs and found to give superior results.
Feasibility Study of 1 MW Standalone Hybrid Energy System: For Technical Institutes  [PDF]
Pragya Nema, Sayan Dutta
Low Carbon Economy (LCE) , 2012, DOI: 10.4236/lce.2012.33009
Abstract: Hybrid energy system (HES) is a combination of different renewable resources such as wind, solar, biomass, small/micro hydro, with fossil fuel powered diesel generator to provide electric power. This paper gives the design idea of optimized Hybrid Energy System for a certain technical college over a conventional diesel generator for a particular site in eastern India (Kolkata). For this hybrid system ,the meteorological data of Solar Insolation, hourly wind speed, are taken for Kolkata-Eastern India (Longitude 88°22’and Latitude 22°34’) and the pattern of load consumption of technical college are studied and suitably modelled for optimization of the hybrid energy system using HOMER software. This paper gives the detail hypothetical study for standalone hybrid energy system for technical institute in five stages: (a) recent electric bill of the college for the year 2011. (b) Studying the load demand for every month in a year. (c) Calculating the maximum, minimum and the average load demand. (d) Introducing the solar data in HOMER software. (e) Designing the hybrid model. This system is more cost effective and environmental friendly over the conventional diesel generator. It should reduced approximate 70% - 80% fuel cost over conventional diesel generator and also reduced the emission of CO2 and other harmful gasses in environments. The action plan is formed on the basis of cost effective modelling that is minimization of energy production cost in a long run.
Reinforcement of Polypropylene Composite system via Fillers and Compatibilizers  [PDF]
Neelam Singh, Santanu Dutta
Open Journal of Organic Polymer Materials (OJOPM) , 2013, DOI: 10.4236/ojopm.2013.31002
Abstract: The purpose of this work is to compare the mechanical properties of the different PP/ Filler composites. We considered the effect of treatment of the filler on the adhesion between the filler and the matrix. Modification of polypropylene (PP) with different coated and uncoated fillers is investigated in this paper. Six types of different fillers are used for preparation of filled PP composites. The composite samples were homogenized in a twin screw extruder. The compatibility of PP and fillers focused in this study and modified by using coupling agent. The obtained values of composites were cor- related with mechanical properties.
Apply AHP for Resource Allocation Problem in Cloud  [PDF]
Avtar Singh, Kamlesh Dutta
Journal of Computer and Communications (JCC) , 2015, DOI: 10.4236/jcc.2015.310002
Abstract: Cloud computing is an emerging paradigm with many applications that are integrated with IT organization having the freedom to migrate services between different physical servers. Analytic Hierarchy Process (AHP) with a pairwise comparison matrix technique for applications has been used for serving resources. AHP is a mathematical technique for multi-criteria decision-making used in cloud computing. The growth in cloud computing for resource allocation is sudden and raises complex issues with quality of services for selecting applications. Finally, based on the selected criteria, applications are ranked using the pairwise comparison matrix of AHP to determine the most effective scheme. The presented AHP technique represents a well-balanced multi criteria priorities synthesis of various applications effect factors that must be taken into consideration when making complex decisions of this nature. Keeping in view wide range of applications of cloud computing an attempt has been made to develop multiple criteria decision making model.
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