Kurdish language multifunctional morphemes indicate the different functional morphological, syntactical, and semantic tasks of the morphemes. The present study discusses the multifunctional task of the Morpheme Le in Kurdish Language. The Morpheme Le has marginally been included in other studies, yet up to the present times, there has not been a research inclusively dedicated to thoroughly discuss and clarify its multifunctional aspects. The present study is divided into two chapters: Chapter one discusses the theoretical aspect of chapter two that is entirely concerned with the practical aspect of the morpheme Le. The first part of chapter one sheds light on the morphological aspect of the morpheme while part two discusses the concept of multifunction in Kurdish language including its concepts, types and characteristics. Chapter two is concerned with the practical aspect of the morpheme. Part one of chapter two describes the morphemes’ morphological aspect and part two explains its syntactical aspects. The conclusion sums up the study most important findings and the number of the academic references referred. پوختەی توێژینەوەکە: توێژینەوەکە لەژێر ناونیشانی (فرەئەرکی مۆرفیمەکان لە زمانی کوردیدا، مۆرفیمی (لە) بەنموونە)یە. ئەو ئەرکانە دەخاتەڕوو کە مۆرفیمی (لە) دەیگێڕێت. ئەم کارە بۆ چەمکی فرەئەرکی لە زمانی کوردیدا تەرخانکراوە، یەکێک لە مۆرفیمە پڕئەرکەکان دەخاتەبەرباس، کە ئەویش مۆرفیمەکانی (لە)یە. مۆرفیمی (لە) لە سەرچاوەی جیاوازدا کەم و زۆر باسکراوە، بەڵام توێژینەوەیەکی تایبەتی سەربەخۆی لەسەر نەنووسراوە، نووسرابێتیش بە قووڵی نەچوونەتە بنج و بناوانی و بە تێروتەسەلی لێیان نەکۆڵیوەتەوە. لە هەندێ کاری زانستیدا باسکراوه، بەڵام کارەکە تەنها بۆ ئەو مۆرفیمە تەرخاننەکراوە، بەڵکو لە میانەی ئەو کارەدا، مۆرفیمی (لە)ش هاتۆتە بەرباسکردن. لەم توێژینەوەیەدا هەوڵدراوە، تا بکرێت باس لە هەموو لایەنەکانی مۆرفیمی (لە) بکرێت لە ڕووی وشەسازی و ڕستەسازی و تەنانەت لەڕووی واتاشەوە و ئەرکە جیاجیاکانی دیاریبکرێت. مۆرفیمی (لە) یەکێکە لە مۆرفیمە چالاکەکانی زمانی کوردی و لە زۆربەی ئاستەکانی زماندا ئەرکی پێسپێردراوە. گرنگیی ئەم توێژینەوە لەوەدایە، بە پوختی و تێروتەسەلی تیشک دەخاتەسەر ئەرکە جیاجیاکانی مۆرفیمی (لە) لەڕووی وشەسازی و ڕستەسازی ...ەوە،هتد. سنووری توێژینەوەکەش لە هەردوو ئاستی وشەسازی و ڕستەسازیدا ئەنجامدراوە، جارجاریش پەنجە بۆ لایەنی واتاییش بردراوە. لەم توێژینەوەیەدا ڕێبازی وەسفی شیکاری-ڕەخنەیی بەکارهاتووە و نموونەکان وەرگیراون و شیکردنەوەیان بۆ کراوە و لەهەر شوێنێکیش هەڵە و کەموکووڕی بەدیکرابێ، سەرنج و ڕەخنە لە بارەیانەوە تۆمارکراوە. توێژینەوەکە بۆ دوو بەش، دابەشکراوه:
Both the double-differenced and zero-differenced GNSS positioning strategies have been widely used by the geodesists for different geodetic applications which are demanded for reliable and precise positions. A closer inspection of the requirements of these two GNSS positioning techniques, the zero-differenced positioning, which is known as Precise Point Positioning (PPP), has gained a special importance due to three main reasons. Firstly, the effective applications of PPP for geodetic purposes and precise applications depend entirely on the availability of the precise satellite products which consist of precise satellite orbital elements, precise satellite clock corrections, and Earth orientation parameters. Secondly, th
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In the latest years there has been a profound evolution in computer science and technology, which incorporated several fields. Under this evolution, Content Base Image Retrieval (CBIR) is among the image processing field. There are several image retrieval methods that can easily extract feature as a result of the image retrieval methods’ progresses. To the researchers, finding resourceful image retrieval devices has therefore become an extensive area of concern. Image retrieval technique refers to a system used to search and retrieve images from digital images’ huge database. In this paper, the author focuses on recommendation of a fresh method for retrieving image. For multi presentation of image in Convolutional Neural Network (CNN),
... Show MoreIn regression testing, Test case prioritization (TCP) is a technique to arrange all the available test cases. TCP techniques can improve fault detection performance which is measured by the average percentage of fault detection (APFD). History-based TCP is one of the TCP techniques that consider the history of past data to prioritize test cases. The issue of equal priority allocation to test cases is a common problem for most TCP techniques. However, this problem has not been explored in history-based TCP techniques. To solve this problem in regression testing, most of the researchers resort to random sorting of test cases. This study aims to investigate equal priority in history-based TCP techniques. The first objective is to implement
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