986 research outputs found
Kannada Character Recognition System A Review
Intensive research has been done on optical character recognition ocr and a
large number of articles have been published on this topic during the last few
decades. Many commercial OCR systems are now available in the market, but most
of these systems work for Roman, Chinese, Japanese and Arabic characters. There
are no sufficient number of works on Indian language character recognition
especially Kannada script among 12 major scripts in India. This paper presents
a review of existing work on printed Kannada script and their results. The
characteristics of Kannada script and Kannada Character Recognition System kcr
are discussed in detail. Finally fusion at the classifier level is proposed to
increase the recognition accuracy.Comment: 12 pages, 8 figure
UNREQUITED LOVE IN THOMAS HARDY’S FAR FROM THE MADDING CROWD.
Mulk Raj Anand, a socially dedicated author, has delivered a decent arrangement of writing. He has composed in excess of twelve books and around seventy short stories and a large group of expositions and articles on various subjects. His books fall into two classes in particular social and personal books. He concentrated on the sufferings, hopelessness and awfulness of the poor because of the abuse of the discouraged class of the Indian culture. Strict false reverence, medieval framework, East-West experience, the spot of lady in the general public, notions, destitution, yearning and abuse are his regular subjects. Watchwords: Mulk Raj Anand, Mulk Raj, books, humankind
EAST WEST ENCOUNTER IN MULKRAJ AANAND’S COOLIE.
Mulk Raj Anand, a socially dedicated author, has delivered a decent arrangement of writing. He has composed in excess of twelve books and around seventy short stories and a large group of expositions and articles on various subjects. His books fall into two classes in particular social and personal books. He concentrated on the sufferings, hopelessness and awfulness of the poor because of the abuse of the discouraged class of the Indian culture. Strict false reverence, medieval framework, East-West experience, the spot of lady in the general public, notions, destitution, yearning and abuse are his regular subjects. Watchwords: Mulk Raj Anand, Mulk Raj, books, humankind
MARGARET ATWOOD’S THE HANDMAID TALE: A FEMINISTIC PERSPECTIVE.
The Handmaid's Tale is where ladies' privileges have been repudiated, and in this way ladies are back in sexual orientation jobs taken to the outrageous, without any rights, no suppositions, and no beautifiers or magnificence results of any sort. A once free lady is transformed into an article, a 'vessel' whose sole design is to bear kids to save the populace. It is a tragic bad dream which oppresses and quells ladies to the point of sexual subjugation, language impacts and inculcates them in a psychologicallydamaging way, and denies them the fundamental opportunities which most ladies in Western development underestimate (Porfert 1). The point of this paper is to contending the portrayal of women's activist oppressed world and the issues identified with female dilemma, their accommodation to men in the books. It will draw a last image of ladies' battle for opportunity. It has been declared that lady's character is pushed aside and even eradicated in the male centric social structure of religious states
Constrained Optimal Hybrid Control of a Flow Shop System
Cataloged from PDF version of article.We consider an optimal control problem for the
hybrid model of a deterministic flow shop system, in which the
jobs are processed in the order they arrive at the system. The
problem is decomposed into a higher-level discrete-event system
control problem of determining the optimal service times, and a
set of lower-level classical control problems of determining the
optimal control inputs for given service times. We focus on the
higher-level problem which is nonconvex and nondifferentiable.
The arrival times are known and the decision variables are the service
times that are controllable within constraints. We present an
equivalent convex optimization problem with linear constraints.
Under some cost assumptions, we show that no waiting is observed
on the optimal sample path. This property allows us to simplify
the convex optimization problem by eliminating variables and
constraints. We also prove, under an additional strict convexity
assumption, the uniqueness of the optimal solution and propose
two algorithms to decompose the simplified convex optimization
problem into a set of smaller convex optimization problems. The
effects of the simplification and the decomposition on the solution
times are shown on an example problem
A search method for optimal control of a flow shop system of traditional machines
Cataloged from PDF version of article.We consider a convex and nondifferentiable optimization problem for deterministic flow shop systems in
which the arrival times of the jobs are known and jobs are processed in the order they arrive. The decision
variables are the service times that are to be set only once before processing the first job, and cannot be
altered between processes. The cost objective is the sum of regular costs on job completion times and
service costs inversely proportional to the controllable service times. A finite set of subproblems, which
can be solved by trust-region methods, are defined and their solutions are related to the optimal solution
of the optimization problem under consideration. Exploiting these relationships, we introduce a twophase
search method which converges in a finite number of iterations. A numerical study is held to demonstrate
the solution performance of the search method compared to a subgradient method proposed in
earlier work.
2010 Elsevier B.V. All rights reserved
Predicting Fraud Apps Using Hybrid Learning Approach: A Survey
Each individual in the planet are mobile phone users in fact smart-phone users with android applications. So, due to this attractiveness and well-known concept there will be a hasty growth in mobile technology. And in addition in information mining, mining the required information from a fastidious application is exceptionally troublesome. Consolidating these two ideas of ranking frauds in android market and taking out required information is gone exceptionally tough.The mobile phone Apps has developed at massive speed in some years; as for march 2017, there are nearby 2.8 million Apps at google play and 2.2 Apps at Google Apps store. In addition, there are over 400,000 self-governing app developers all fighting for the attention of the same potential clients. The Google App Store saw 128,000 new business apps alone in 2014 and the mobile gaming category alone has contest to the tune of almost 300,000 apps. Here the major need to make fraud search in Apps is by searching the high ranked applications up to 30-40 which may be ranked high in some time or the applications which are in those high ranked lists should be confirmed but this is not applied for thousands of applications added per day. So, go for wide examination by applying some procedure to every application to judge its ranking. Discovery of ranking fraud for mobile phone applications, require a flawless, fraud less and result that show correct application accordingly provide ranking; where really make it occur by searching fraud of applications. They create fraud of App by ranked high the App by methods using such human water armies and bot farms; where they create fraud by downloading application through different devices and provide fake ratings and reviews. So, extract critical data connecting particular application such as review which was called comments and lots of other information, to mine and place algorithm to identify fakeness in application rank
Crowd Recognition System Based on Optical Flow Along with SVM classifier
The manuscript discusses about abnormalities in a crowded scenario. To prevent the mishap at a public place, there is no much mechanism which could prevent or alert the concerned authority about suspects in a crowd. Usually in a crowded scene, there are chances of some mishap like a terrorist attack or a crime. Our target is finding techniques to identify such activities and to possibly prevent them. If the crowd members exhibit abnormal behavior, we could identify and say that this particular person is a suspect and then the concerned authority would look into the matter. There are various methods to identify the abnormal behavior. The proposed approach is based on optical flow model. It has an ability to detect the sudden changes in motion of an individual among the crowd. First, the main region of motion is extracted by the help of motion heat map. Harris corner detector is used for extracting point of interest of extracted motion area. Based on the point of interest an optical flow is estimated here. After analyzing this optical flow model, a threshold value is fixed. Basically optical flow is an energy level of individual frame. The threshold value is forwarded to SVM classifier, which produces a better result with 99.71% accuracy. This approach is very useful in real time video surveillance system where a machine can monitor unwanted crowd activity.
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