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normalization
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Iterated Integrals and Periods of Algebraic Fundamental Groups
, M.Sc. Thesis Sharif University of Technology ; Jafari, Amir (Supervisor)
Abstract
In This thesis, we study first the analytic properties of Iterated integrals on complex line and discuss their shuffle relations and also regularization for divergent integrals, Next we turn in to Mixed Hodge theory and define a Hopf algebra of framed Mixed Hodge -Tate Structures. Associated to any iterated integral ∫ an+1 a0 dt ta1 dt ta2 ::: dttan
we define an n-framed Mixed Hodge-Tate structure denoted by IH(a0; a1; :::; an; an+1) . These structure come from the fundamental group of Cfa1; :::; ang and for this we recall the theory of Chen and Hain for these groups. At the end calculate a coproduct formula for these elements
we define an n-framed Mixed Hodge-Tate structure denoted by IH(a0; a1; :::; an; an+1) . These structure come from the fundamental group of Cfa1; :::; ang and for this we recall the theory of Chen and Hain for these groups. At the end calculate a coproduct formula for these elements
Enhancing and Normalizing DNA Microarray Data Using RNA-seq Dataset
,
M.Sc. Thesis
Sharif University of Technology
;
Motahari, Abolfazl
(Supervisor)
;
Beigy, Hamid
($item.subfieldsMap.e)
Abstract
Nowadays, many progresses in biology and medicine such as diagnosis of diseases and drug discoveries depend heavily on analyzing biological datasets collected from advanced machines. DNA Microarrays are amongst such machines applicable in measuring the expressions levels of thousand of genes and genotyping of a set of single nucleotide polymorphic sites to name a few. Compared to the more advanced Next Generation Sequencing (NGS) technology, the microarray platform produces lower quality of datasets. However, there has been tones of efforts to produce, process, and curate datasets from microarrays based on well designed protocols for sample preparation, hybridization, image processing, and...
A Hybrid Approach for Normalization of Non-Standard Persian Texts
, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor) ; Ghasem-Sani, Gholamreza (Co-Advisor)
Abstract
With the increase of internet usage and the volume of available data, the need for data mining and text processing is felt. One of the common obstacles for using these methods is usage of colloquial and non-standard language in writings. Due to this fact, combined with the fact that NLP tasks in Persian language had always faced data shortage issues, in this thesis, we first collect and construct a parallel data set, consisting of colloquial texts used in social media. Then after examining various methods used in other languages for text normalization, we propose a combination of new hybrid methods, involving Statistical Machine Translation methodology with some modification, to normalize...
Analysis & Improvement of Handover Process in Wireless Heterogeneous Networks
, M.Sc. Thesis Sharif University of Technology ; Pakravan, Mohammad Reza (Supervisor)
Abstract
Wireless technology is growing rapidly. We have seen the evolution of these networks from first to fourth generation. Along with this growth, number of users needing wireless data services supporting real-time multimedia applications with high quality of service is growing annually. The challenge is to have the best connection anytime anywhere. Radio access technologies (RATs) consist of different types. Each RAT has its own technological characteristics. Operators constantly are seeking to increase their subscribers by providing high quality services so they can earn more profit. On the other hand users try to have a better experience from provided data services according to their...
Rule-Based Conversion of Colloquial Texts into Official Texts in Persian
, M.Sc. Thesis Sharif University of Technology ; Bahrani, Mohammad (Supervisor)
Abstract
In this study, first a set of data was colleted which consisted of colloquial sentences in Persian. Each of these sentences was rendered into standard Persian by native speakers. As a result, a corpus of parallel data including 1698 pairs of sentences was created. Then each colloquial sentence and its formal equivalent were converted into term-frequency vectors and the cosine distance similarity between the two vectors was calculated. Besides the mean and the standard deviation of all cosine distances were obtained. Afterwards the whole set of data was divided into two halves through Stratified randomization so that the two halves resembled each other in terms of cosine distance similarity....