نتایج جستجو برای: Qualitative Detection

تعداد نتایج: 761826  

Journal: :journal of ornamental plants 2015
a. rafizadeh r. nasirifard m. nasoori gazni m. haghshanas f. jmali bivarzani

the occurrence of blindness after drinking some herbaceous distillates is created some anxieties in iran. in this study, the effectiveness of concentration of khalvash distillate was studied on the function of the new modified suggested chromotropic acid method for qualitative detection of methanol. for this purpose, three samples of khalvash distillate were purchased from vendors of rasht. acc...

Journal: :Research in Computing Science 2014
Olga Kolesnikova

This paper presents error patterns built on the basis of our comparative analysis of American English and Mexican Spanish phonemes and allophones which can be applied in designing the error detection module of a Computer Assisted Pronunciation Training (CAPT) System for teaching American English pronunciation to Mexican Spanish speakers. Error identification is important for an adequate choice ...

Journal: :Research in Computing Science 2012
Olga Kolesnikova

This paper presents an error prevention approach in the development of a Computer Assisted Pronunciation Training System (CAPT System) for teaching American English pronunciation to adult Mexican Spanish speakers developed for the case of vowels. Prior knowledge of the learner’s typical articulatory and auditory perception errors enhances the effectiveness of training. It enables to organize th...

2008
Tania Habib Lukas Ottowitz Marián Képesi

This paper proposes an enhancement and evaluates the performance of the joint position and pitch estimation (PoPi) algorithm for speaker localization. A modification in the algorithm is introduced in order to improve the performance under high reverberation levels. The performance of the proposed method is evaluated by measuring the correct estimate of position at a frame level. This evaluation...

Journal: :CoRR 2015
Heng Yang Xuhui Jia Chen Change Loy Peter Robinson

The problem of face alignment has been intensively studied in the past years. A large number of novel methods have been proposed and reported very good performance on benchmark dataset such as 300W. However, the differences in the experimental setting and evaluation metric, missing details in the description of the methods make it hard to reproduce the results reported and evaluate the relative...

2016
Nicolae MARINESCU

This paper compares greenfields and acquisitions as foreign direct investment (FDI) alternatives used by transnational corporations (TNCs). First, the determinants leading to the choice of companies between the two modes of entry into a foreign market are laid out. Then, specific features of each alternative are highlighted, by contrasting the advantages and disadvantages of both types of FDI. ...

2014
Kamal Malik

Data Mining simply refers to the extraction of very interesting patterns of the data from the massive data sets. Outlier detection is one of the important aspects of data mining which actually finds out the observations that are deviating from the common expected behavior. Outlier detection and analysis is sometimes known as outlier mining. In this paper, we have tried to provide the broad and ...

2015
Amandeep Kaur Tanupreet Singh O. O. Khalifa A. H. A Hashim M. Meuter S. Muller A. Mika

In this paper comparison is drawn between the existing and proposed techniques of lane detection. Lane detection techniques are proved to be helpful in avoiding accidents on highways. The proposed system has a goal to detect the lane marks even in the presence of high level of noise in the input image. The proposed technique has proved itself as more efficient than that of existing technique.

2013
Kofi Adu-Manu Sarpong John Kingsley Arthur

Data Cleansing is an activity involving a process of detecting and correcting the errors and inconsistencies in data warehouse. It deals with identification of corrupt and duplicate data inherent in the data sets of a data warehouse to enhance the quality of data. The research was directed at investigating some existing approaches and frameworks to data cleansing. That attempted to solve the da...

1994
Zhongfei Zhang Richard S. Weiss Allen R. Hanson

Three diierent algorithms for qualitative obstacle detection are presented in this paper. Each one is based on diierent assumptions. The rst two algorithms are aimed at yes/no obstacle detection without indicating which points are obstacles. They have the advantage of fast determination of the existence of obstacles in a scene based on the solvability of a linear system. The rst algorithm uses ...

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