FORMAT IDEAL OTONOMI DESA

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Stop Classification Using Desa - 1 High - Resolution Formant

Recent work has veriied that the second-formant frequency (F2) and its change in the vowel immediately preceding a stop consonant are usually suucient to discriminate between labial, palatal, and alveolar stops, even in the absence of the stop burst information. Informal listening tests using truncated samples indicate that humans can discriminate the three stops on the basis of the preceding v...

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To reduce complexity in software systems it is essential to minimize the functional dependencies in them. Functional dependency can be caused by the internal logic (model) of the system as well as the user interface. It is then vital to locate the source of the dependency, so that it can be removed. Our method “Design Equations for Systems Analysis”, or DESA, offers an opportunity to accomplish...

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Stop Classification Using Desa High Resolution Formant Tracking

Recent work has veri ed that the second formant frequency F and its change in the vowel immediately preceding a stop consonant are usually su cient to discriminate be tween labial palatal and alveolar stops even in the absence of the stop burst information Informal listening tests using truncated samples indicate that humans can discriminate the three stops on the basis of the preceding vowel a...

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Relation Between Imprecise DESA and MOLP Methods

It is generally accepted that Data Envelopment Analysis (DEA) is a method for indicating efficiency. The DEA method has many applications in the field of calculating the relative efficiency of Decision Making Units (DMU) in explicit input-output environments. Regarding imprecise data, several definitions of efficiency can be found. The aim of our work is showing an equivalence relation between ...

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ژورنال

عنوان ژورنال: MIMBAR : Jurnal Penelitian Sosial Dan Politik

سال: 2018

ISSN: 2620-6056,2252-5270

DOI: 10.32663/jpsp.v7i2.675