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Search Results: 1 - 10 of 471 matches for " Priyanka Priyanka "
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Modified Shuffled Frog Leaping Algorithm for Solving Economic Load Dispatch Problem  [PDF]
Priyanka Roy, A. Chakrabarti
Energy and Power Engineering (EPE) , 2011, DOI: 10.4236/epe.2011.34068
Abstract: In the recent restructured power system scenario and complex market strategy, operation at absolute minimum cost is no longer the only criterion for dispatching electric power. The economic load dispatch (ELD) problem which accounts for minimization of both generation cost and power loss is itself a multiple conflicting objective function problem. In this paper, a modified shuffled frog-leaping algorithm (MSFLA), which is an improved version of memetic algorithm, is proposed for solving the ELD problem. It is a relatively new evolutionary method where local search is applied during the evolutionary cycle. The idea of memetic algorithm comes from memes, which unlike genes can adapt themselves. The performance of MSFLA has been shown more efficient than traditional evolutionary algorithms for such type of ELD problem. The application and validity of the proposed algorithm are demonstrated for IEEE 30 bus test system as well as a practical power network of 203 bus 264 lines 23 machines system.
Optimum Probability Distribution for Minimum Redundancy of Source Coding  [PDF]
Om Parkash, Priyanka Kakkar
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.51011

In the present communication, we have obtained the optimum probability distribution with which the messages should be delivered so that the average redundancy of the source is minimized. Here, we have taken the case of various generalized mean codeword lengths. Moreover, the upper bound to these codeword lengths has been found for the case of Huffman encoding.

An Algorithm to Generate Probabilities with Specified Entropy  [PDF]
Om Parkash, Priyanka Kakkar
Applied Mathematics (AM) , 2015, DOI: 10.4236/am.2015.612174
Abstract: The present communication offers a method to determine an unknown discrete probability distribution with specified Tsallis entropy close to uniform distribution. The relative error of the distribution obtained has been compared with the distribution obtained with the help of mathematica software. The applications of the proposed algorithm with respect to Tsallis source coding, Huffman coding and cross entropy optimization principles have been provided.
Predicting Multiple-Borrowing Default among Microfinance Clients  [PDF]
Kanish Debnath, Priyanka Roy
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.810116
Abstract: In order to control over-indebtedness that often leads to capacity failure, the Reserve Bank of India recently issued directives for Micro Finance Institutions to restrict multiple loans to borrowers. These institutions are also required to regularly share their current borrowers’ loan records with a Credit Information Company. We argue here that ex-post loan record verification is inefficient and inadequate considering the socio-economic and informational asymmetries in micro-credit markets. Instead, we reason, household characteristics can predict multiple-borrowing behaviour. Our empirical analysis shows that this is true to some extent. We dwell on policy implications and ways to improve our model.
Optimization of conditions for in vitro seed germination and shoot multiplication of Aconitum heterophyllum Wall
Priyanka SOLANKI,Priyanka SIWACH
International Journal of Medicinal and Aromatic Plants , 2012,
Abstract: Aconitum heterophyllum is a critically endangered medicinal plant species of Indian Himalayas. Micropropagation of this plant is considered important for its ex-situ conservation as well as to generate large scale planting material for commercial supply. During the present study, seeds were taken as starting material. Seeds of A. heterophyllum are associated with a dormancy period and so optimization of conditions was needed for in vitro germination. Mechanical scarification of seeds by rubbing between hands (to crack the seed coat randomly) reduced the microbial contamination and was also found essential for germination, as seeds with no mechanical treatment could not germinate. Further, germination could be observed only on cotton moistened with distilled water; MS medium was found inhibitory for in vitro seeds germination. The soaking of seeds at low temperature (4oC) for 72 hours, before culturing, enhanced the germination frequency to 95.83%. Amongst various parts of seedling used for in vitro shoot induction, shoot organogenesis was obtained only from plumule tip and that too on MS media with 0.5ml/l BAP.
Minor modifications in obtainable Arabidopsis floral dip method enhances transformation efficiency and production of homozygous transgenic lines harboring a single copy of transgene  [PDF]
Priyanka Das, Naveen Chandra Joshi
Advances in Bioscience and Biotechnology (ABB) , 2011, DOI: 10.4236/abb.2011.22010
Abstract: Many researchers have developed various methods for in-planta or floral dip transformation of Arabidopsis thaliana, one of the simple protocol and widely used to produce transgenic Arabidopsis. As the efficiency and ease of getting a transformant is very much time consuming effort and less number of the transformants people get, we have developed a little modified transformation protocol to avoid the disparities. Four types of inoculums (inoculum1, inoculum2, inoculum3 and inoculum4) were used to check the transformation efficiency out of which Inoculum3 showed the highest rate of transformation among the four types. 0.07% Twin-20 also acts in same manner as silwet L-77 to increase the rate of transformation efficiency and glucose instead of sucrose can be used in inoculum to transform Arabidopsis. After vacuum infiltration keeping the Agrobacterium infected plants for 7-8 hrs horizontally in low light at 280C temperature condition, considered best to get an increased number of transformed seeds. Modified protocol produced ~12-14% increase in transformants. Selection pots (kanamycin supplemented soil filled pots) in place of selection plates (Kanamycin supplemented Murashige and Skoog agar plates) proved beneficial as no MS medium and no aseptic condition is required for selection of transformed plants. This increase in transformation efficiency consequently increased the percentage of homozygous and single copied stable transgenic lines.
A Novel Approach for Fault Diagnosis in Wireless Sensor Networks  [PDF]
Boul Chandra Garai, Priyanka Das
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.52019

The following article has been retracted due to special reason of the author. This paper published in Vol.5 No. 2, 2013, has been removed from this site.

Neural Networks in Data Mining
Priyanka Gaur
International Journal of Electronics and Computer Science Engineering , 2012,
Abstract: The application of neural networks in the data mining is very wide. Although neural networks may have complex structure, long training time, and uneasily understandable representation of results, neural networks have high acceptance ability for noisy data and high accuracy and are preferable in data mining. In this paper the data mining based on neural networks is researched in detail, and the key technology and ways to achieve the data mining based on neural networks are also researched.
An update on Murraya koenigii Spreng: a multifunctional Ayurvedic herb
Priyanka Gupta
Zhong Xi Yi Jie He Xue Bao , 2011,
Abstract: Murraya koenigii Spreng (Rutaceae), a medicinally important herb of Indian origin, has been used for centuries in the Ayurvedic system of medicine. Leaves, fruits, roots and bark of this plant are a rich source of carbazole alkaloids. These alkaloids have been reported for their various pharmacological activities such as antitumor, antiviral, anti-inflammatory, antidiarrhoeal, diuretic and antioxidant activities. Apart from these activities, the plant is reported to possess a wide spectrum of biological activities. Phytochemistry and pharmacology of this plant make a demand of an exhaustive review of its potential as a valuable therapeutic agent for the treatment and management of various ailments frequently affecting humans. The present review gives a detailed description of the phytochemical, pharmacological, clinical and pre-clinical works carried out on this medicinal herb and also throws light on its therapeutic potential.
Review MADHUCA LONIGFOLIA (Sapotaceae): A review of its traditional uses, Phytochemistry and pharmacology
priyanka yadav
International Journal of Biomedical Research , 2013, DOI: 10.7439/ijbr.v3i7.292
Abstract: Madhuca longifolia (Mahua) which belongs to family Sapotaceae. Madhuca commonly known as the Butter nut tree is a medium to large sized deciduous tree distributed in Nepal, India and Sri Lanka. Madhuca longifolia is a large tree, about 17m high with a large top. Mahua is a large, shady, deciduous tree doting much of the central Indian landscape, both wild and cultivated. Mahua seeds are of economic importance as they are good source of edible fats. Medicinal herbs are moving from fringe to mainstream use with a great number of people seeking remedies and health approaches free from side effects caused by synthetic chemicals. Madhuca longifolia is reported to contain sapogenins, triterpenoids, steroids, saponins, flavonoids and glycosides. It is used as spasmogenic, oxytocic, uterotonic, anti-bacterial, anti-implantation, anti-tumour, anti-progestational, antiestrogenic activity against menorrhagia and anti-cancer. This review contains the traditional uses of various parts of plant, Phytochemical constituent and different reported pharmacological activity.
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