Design a Tool for Generating Test Cases using Swarm Intelligence

Occupational Medicine Quarterly Journal, 2017

Introduction: Uncontrolled health status of drivers, can lead to the death of healthy individuals who are living in their best periods of life in terms of performance and wellness and also it can impose huge financial costs on a country. The purpose of this study was to design an intelligent system using Multilayer perceptron (MLP) and radial basis function (RBF) neural networks in order to diagnose drivers' health status Methods: In this study, we applied the MLP and RBF networks with some changes in the number of middle layers, neurons, as well as learning algorithms such as Momentum (MOM), Conjugate Gradient (CG), and Levenberg Marquardt (LM) in order to diagnose the health status of the drivers.) Then, the best model was introduced according to the area under receiver operating characteristics (ROC) curve, sensitivity, and precision criteria. Results: In this study, 20 variables were selected as inputs and two variables that include healthy and unhealthy status were determined as output parameters. MLP and RBF neural networks with LM algorithm have the best performance with 66.7% and 29% precision; 97.2% and 100% sensitivity; 91.1% and 86 % accuracy respectively. The area under ROC curve for the nervous system MLP and RBF estimated 91.02 for MLP and 88.1 for RBF. Conclusion: According to this study, the MLP neural network model with the LM learning algorithm compared to the RBF neural network can have an important role in helping physicians in order to diagnose drivers' health status. Furthermore, such a model can be used in centers of occupational medicine to enhance the accuracy and the speed of diagnosis and reduce costs.

Journal of Economics and Administrative Sciences, 2013

المستخلص تعرف الانتروبي بأنها مقياس لعدم التأكد . قد تم استعمال تحويل الانتروبي باستخدام دالة التوزيع التراكمية ودالة المعولية للتوزيع المستمر Burr Type-XII في حالة البيانات التي تعاني من التذبذب لبناء نموذج التوزيع التوزيع الأحتمالي الجديد من تطبيق تحويل انتروبي على التوزيع الأحتمالي المستمر Burr Type-XII واختبرت الدالة الجديدة ووجدت أنها تحقق شروط الدالة الأحتمالية ، وتم اشتقاق الوسط الحسابي والدالة الأحتمالية التجميعية لكي يتم إعتمادها في توليد البيانات لغرض تنفيذ تجارب المحاكاة . تم بعد ذلك تقدير معلمات التوزيع الأحتمالي التي تم إستخراجها من صيغة التوزيع لدالة أوقات الفشل باستخدام طريقة الإمكان الأعظم وطريقة وايت وطريقة المقدر المختلط ، والمقارنة بينهما بإعتماد معيار متوسط مربعات الخطأ (MSE) للمقارنة بين النتائج باستخدام اسلوب المحاكاة في الجانب التجريبي للوصول الى افضلية المقدرات ولحجوم عينات مختلفة لمعلمتي الشكل والقياس للتوزيع . حيث بينت النتائج ان مقدرات المقدر المختلط لمعلمة الشكل هي الأفضل اما مقدرات معلمة القياس فقد اظهرت النتائج ان مقدرات المقدر وايت هي الأفضل

Maǧallaẗ Kulliyyaẗ Al-Tarbiyyaẗ Bi-Dumyāṭ, 2023

The current research aimed to prepare a proposed vision to achieve the goals of hybrid learning in integration schools using smart platforms, by identifying the nature of hybrid learning, and the theoretical literature of smart platforms. The descriptive approach was used due to its suitability to the nature of the research, leading to a set of conclusions, and presenting some suggestions and recommendations, the most important of which are enhancing interest in the professional development of teachers of integration schools, and holding training courses aimed at spreading the culture of using smart platforms, and introducing them to the importance and how to employ them in facing learning problems in integration schools and the need for attention and care to expand the circle of users of smart educational platforms to include the family, the school, civil society institutions, departments and ministries concerned with achieving the goals of hybrid learning in integration schools .

Journal of techniques, 2023

This study aims to address the problems of investment portfolio risk management based on diversification strategy sector, and mainly seeks to apply genetic algorithms (GA) to improve Markowitz model (return-risk). The portfolio optimization problem is a multi-objective problem that simultaneously aims to maximize the expected return of the portfolio and reduce the portfolio risk. The current study is a heuristic approach to the problem of portfolio optimization using genetic algorithms technique. The data of the current study is on a sample of stock prices between 01/01/2016-31/12/2020 in the Iraqi Stock Exchange, moreover, in an attempt to evaluate the effectiveness of genetic algorithms to improve the level of optimal risk.

Journal of Economics and Administrative Sciences

الـBootstrap واحدة من أهم تقنيات إعادة المعاينة التي جذبت انتباه الباحثين مؤخرا, وجود القيم الشاذة في مجموعة البيانات الأصلية هي المشكلة الأساسية في عينات Bootstrap , خصوصا عندما يتجاوز عددها نسبة القيم الشاذة في العينة الأصلية . العديد من الطرق اقترحت لحل هذه المشكلة مثل DRBLTS و WBP . هذا البحث هو محاولة لبيان دقة المعالم المقدرة بمقارنة نتائج كلا الطريقتين. bias و MSE وكذلك RMSE اعتمدت كمعايير للمقارنة بين هذه المقدرات, معيار الدقة يعتمد على RMSE , فالطريقة الأفضل هي الطريقة التي تزودنا بأقل قيمة لجذر متوسط مربعات الخطأ. لهذا الغرض الدراسة استخدمت بيانات حقيقية, النتائج بينت ان مقدرات DRBLTS أكثر دقة من مقدرات الطريقة الثانية.

الفکر المحاسبى, 2016

2009

ARID international journal for science and technology, 2022

E-learning and blended learning have become an integral part of modern academic and educational systems. It provides easy access to educational opportunities for a very wide range of individuals to pursue their educational and rehabilitation goals. These educational systems have the potential to improve the quality of the teaching and learning process and raise the level of its performance to higher levels. Advances in communication technologies have led to a new approach of connectivity, known as the Internet of Things (IoT), where every device is connected to the network, so all objects can communicate with each other. These technologies help in developing e-learning infrastructure, especially in applied disciplines where special requirements are needed, such as acquiring specific technical skills and practices through training. Embedding Internet of Things and Mixed Reality technologies is the solution for developing e-learning and blended learning systems in applied disciplines. Moreover, applying such technologies can reduce the cost of education and professional qualification at both the institutional and individual learner levels. This paper presents designs for remote laboratories using Internet of Things and Mixed Reality technologies with examples of experiments in control engineering and renewable energy engineering.

Journal of Educational & Psychological Sciences, 2018

This study aimed at clarifying the effect of using the Generative Model on the acquisition of mathematical concepts and problem solving for 7th grade students in light of their logical thinking. A sample of 71 seventh graders was selected and divided into two groups, by random selection: an experimental group of 36 students and a control group of 35 students. Instructional material for the unit of Algebra was prepared for the experimental group in accordance with the Generative Model, and its validity was verified by arbitration. An acquisition of mathematical concepts test, a mathematical problem solving test and a logical thinking test were developed and were valid and reliable. The results showed statistically significant differences in favor of the experimental group, in both the acquisition of mathematical concepts and in solving mathematical problems. The results also showed statistically significant differences in both the acquisition of mathematical concepts and solving mathematical problems due to the interaction between the teaching method and the level of the logical thinking. In light of these findings, the study recommended the need for holding workshops to introduce the model and to train teachers to use it, and urged them to employ it in teaching mathematics. Also, the study recommended researchers to study the impact of this model on other variables and at different academic levels.

Scientific Journal of the Faculty of Education - Assiut University, 2018