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52 articles for “Discrimination”
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Research ArticleOpen accessIn the abstractFrom &#34Foreign&#34 Language Education to Plurilingualism: Challenges for Language Education Policy in a Multilingual JapanTeja OstheiderProblem statement: With a 41% increase in foreign residents over the last 10 years, the long-neglected issue of domestic multiculturalism and multilingualism cannot be ignored anymore in Japan. Nevertheless, there is still a deep gap between common images created by mass media and education regarding “internationalization” or “globalization” and the actual condition of Japan as a migrant country. By discussing … …Journal of Social Sciences, Vol. 8, Issue 1 · 18 Feb 2012 · 8,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction and Classification of Blood Cells Using Artificial Neural NetworkMagudeeswaran Veluchamy, Karthikeyan Perumal, Thirumurugan PonuchamyProblem statement: One method of evaluating the clinical status is counting of cell types based on features that it contains. There is a need for a rapid, reproducible method, superior to human inspection and for the classification of cells. For solving these problems, quantitative digital-image analysis is applied and a novel method for classifications of affected blood cells from normal … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 18 Feb 2012 · 8,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractLogo Recognition System Using Angular Radial Transform DescriptorsOmar Mohammed Wahdan, Khairuddin Omar, Mohammad Faidzul NasrudinProblem statement: The shape-based logo recognition systems have been developed to automate the logo registration process. The logo recognition operation faces many challenges such as having to recognize logos that might be scaled, rotated, translated and added with noises. Different types of logo’s shapes further add to the complex nature of this problem. Approach: We developed a logo recognition system … …Journal of Computer Science, Vol. 7, Issue 9 · 26 Jul 2011 · 7,197 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network Change Detection Model for Satellite Images Using Textural and Spectral CharacteristicsA. K. Helmy, Gh. S. El-TaweelProblem statement: Change detection is the process of identifying difference of the state of an object or phenomena by observing it at different time. Essentially, it involves the ability to quantify temporal effects using multi-temporal data sets. Information about change is necessary for evaluating land cover and the management of natural resources. Approach: A neural network model based on both … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractMathematical Modeling and Characterization of Thin Film, Narrow Gap Sensor Array Units (SAU)Mahmoud Z. IskandaraniDesign, modeling, testing and analysis multi-gap PbPc sensor array units for the purpose of gas detection are carried out. The tested devices showed reduction in conductance as a function of increasing gap width and reducing film thickness and an increase as a function of temperature up to 160°C. An observed morphological change in the sublimed film is realized at 190°C … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 6,856 accessesView PDFCite
Research ArticleOpen accessIn the abstractUse of Quantitative Polymerase Chain Reaction for Determining Copy Numbers of Transgenes in Lesquerella fendleriGrace Qianhong Chen, Jiann-Tsyh LinProblem statement: In transgenic plants, the number of transgene copies could greatly influence the level of expression and genetic stability of the target gene, thus it is important to develop an efficient method for accurate estimation of transgene copies. The quantitative Polymerase Chain Reaction (qPCR) technique is becoming more efficient nowadays to determine copy numbers of transgenes in transgenic plants, … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 8,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractLand Cover Change Detection Using Texture AnalysisXiaofeng Wu, Fen Yang, Roly LishmanProblem statement: It is an important task to detect land cover changes from remotely sensed data for environmental monitoring. Although there are some applications of visual textures to the land use, they are limited to a few land cover categories with the application of one texture measure. Since land cover types are complex and often the integration of various objects, … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,198 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Recognition Based on Nonlinear Feature ApproachEimad E.A. Abusham, Andrew T.B. Jin, Wong E. Kiong, G. DebashisFeature extraction techniques are widely used to reduce the complexity high dimensional data. Nonlinear feature extraction via Locally Linear Embedding (LLE) has attracted much attention due to their high performance. In this paper, we proposed a novel approach for face recognition to address the challenging task of recognition using integration of nonlinear dimensional reduction Locally Linear Embedding integrated with Local … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockade for Career Advancement in Japanese Organization Abroad: The Case of Malaysian SubsidiariesRaduan Che Rose, Naresh KumarThis study empirically examines the significance of demographic factors and organizational characteristics in influencing the perceived barriers to career advancement of local managers in Japanese subsidiaries. Moreover, significant relationship between stereotype and discrimination and the number of local managers in higher management positions also been analyzed. The perceived barriers were examined through an analysis of 317 local managers working in … …American Journal of Applied Sciences, Vol. 4, Issue 1 · 30 Apr 2007 · 6,971 accessesView PDFCite
Research ArticleOpen accessIn the abstractObject Detection using Geometric Invariant MomentMohamed Rizon, Haniza Yazid, Puteh Saad et al.Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to identify the object from the captured image using the first invariant (Ø1). The recognition rate … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Oct 2006 · 6,663 accessesView PDFCite