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Article
Employee Performance Assessment Using Modified Decision Tree

Authors: Hassan A. Jeiad --- Zinah J. M. Ameen --- Alza A. Mahmood
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2018 Volume: 36 Issue: 7 Part (A) Engineering Pages: 806-811
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Decision tree algorithms are famous method in inductive learning and successfully applied for model classification and prediction. Performance evaluation in organization is one of the most important issues that are reliable due to the transition from industrial to knowledge age. This paper proposes the use of modified ID3 (Interactive Dichotomiser 3) decision tree algorithm combining with Taneja entropy instead of the original ID3 algorithm that depends on Shannon entropy which is widely used in the information theory. In fact, the original ID3 was suffer from complexity in the form of complex tree with large number of hops and nodes. The information gain was used as a splitting criteria of the modified ID3. The proposed modified ID3 algorithm has been tested on a dataset for a different university employees with several attributes that directly affect their annual performance assessment. The most optimized tree is constructed by taking one attribute that have the largest information gain from the dataset as a root of tree and repeating the process until the tree is completed. The results showed that the proposed modified ID3 decision tree algorithm that based on Taneja entropy gives less complexity due to small tree with three nodes and two to one hope to reach the right decision.


Article
Effect of Aging Time on Deformation Behavior of Lead-Free and Lead Base Solders Alloys

Author: Alaa H. Ali
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2018 Volume: 36 Issue: 8 Part (A) Engineering Pages: 853-866
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

The effect of aging time on the deformation behavior of lead-free and lead- based sub-mm solder alloys were investigated. Experimental results showed that the aging time (less than 4 hours) did not have any effect on the anisotropy behavior of Tin solder balls during compression processes but that is clear in other intervals time specially when the aging time increased, and the microstructure images show different grain growth in high temperature longer time and the Tin anisotropic behavior in lead-free solder alloys


Article
Classification of Images Using Decision Tree
تصنيف الصور باستخدام شجرة القرار

Authors: Emad K. Jabbar --- Mayada jabbar kelain
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2013 Volume: 31 Issue: 6 Part (B) Scientific Pages: 728-739
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

In this paper, the proposed system is based on texture features classification for multi object images by using decision tree (ID3) algorithm. The proposed system uses image segment tile base to reduce the block effect and uses (low low) Wavelet Haar to reduce image size without loss of any important information. The image texture features like (Entropy, Homogeneity, Energy, Inverse Different Moment (IDM), Contrast and Mean) are extracted from image to build database features. All the texture features extracted from the training images are coded into database features code. ID3 algorithm uses database features code for classification of images into different classes. Splitting rules for growing ID3 algorithm are Entropy, Information Gain used to build database rules, which depend on if_then format. The proposed algorithm is experimented on to test image database with 375 images for 5 classes and uses accuracy measure. In the experimental tests 88% of the images are correctly classified and the design of the proposed system in general is enough to allow other classes and extension of the set of classification classes.

في هذا البحث ،النظام المقترح مبني على اساس تصنيف الخصائص النسيجية للصور التي تحوي على كائنات متعددة باستخدام شجرة القرار بخوارزمية (ID3). في النظام المقترح استخدمنا ( Segment tile base) لتخلص من التأثير الكتلي واستخدمنا ( wavelet haar LL ) لتقليل حجم الصورة بدون فقدان اي معلومات مهمة .ان الخصائص النسيجية للصورة مثل (العشوائية ، التجانس ،القوة، لحظة اختلاف الانعكاس، التناقض، المعدل) استخلصت من الصورة لبناء قاعدة بيانات صفات الصورة .إن جميع الخصائص النسيجية التي تم استخلاصها من الصورة إثناء عملية التدريب تم تحويلها الى رموز في قاعدة بيانات لاستخدامها في بناء شجرة القرار لتصنيف الصور وذلك بالاعتماد على مجموعة قوانين التي تم بناءها باستخدام ID3 .إن الخوارزمية المقترحة تم تجربتها على مجموعة صور اختباريه تصل الى 375 صورة لخمسة أصناف وباستخدام مقاييس الدقة، كانت نتائج الاختبار 88% من صور الاختبار صنفت بشكل صحيح.

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