In data transmission a change in single bit in the received data may lead to miss understanding or a disaster. Each bit in the sent information has high priority especially with information such as the address of the receiver. The importance of error detection with each single change is a key issue in data transmission field.
The ordinary single parity detection method can detect odd number of errors efficiently, but fails with even number of errors. Other detection methods such as two-dimensional and checksum showed better results and failed to cope with the increasing number of errors.
Two novel methods were suggested to detect the binary bit change errors when transmitting data in a noisy media.Those methods were: 2D-Checksum me

A new and hybrid deep learning-based approach for diagnosing faults in electric vehicle (EV) drive motors is proposed in this article. This article presents a new and hybrid deep learning-based method of diagnosing faults in the drive motors of electric vehicles (EV). In contrast to standard CNNLSTM approaches that depend on SoftMax classification, the introduced framework combines a Random Forest (RF) classifier to enhance the generalization, interpretability, and robustness of fault prediction. Furthermore meant for use on edge computing equipment with IoT integration, the design allows for real-time monitoring in resource-limited settings. The introduced algorithm utilizes a Random Forest (RF) classifier for accurate fault classification

 Abstract

In this paper, fatigue damage accumulation were studied using many methods i.e.Corton-Dalon (CD),Corton-Dalon-Marsh(CDM), new non-linear model and experimental method. The prediction of fatigue lifetimes based on the two classical methods, Corton-Dalon (CD)andCorton-Dalon-Marsh (CDM), are uneconomic and non-conservative respectively. However satisfactory predictions were obtained by applying the proposed non-linear model (present model) for medium carbon steel compared with experimental work. Many shortcomings of the two classical methods are related to their inability to take into account the surface treatment effect as shot peening. It is clear that the new model shows that a much better and cons

The flexible joint robot manipulators provide various benefits, but also present many control challenges such as nonlinearities, strong coupling, vibration, etc. This paper proposes optimal second order integral sliding mode control (OSOISMC) for a single link flexible joint manipulator to achieve robust and smooth performance. Firstly, the integral sliding mode control is designed, which consists of a linear quadratic regulator (LQR) as a nominal control, and switching control. This control guarantees the system robustness for the entire process. Then, a nonsingularterminal sliding surface is added to give a second order integral sliding mode control (SOISMC), which reduces chartering effect and gives the finite time convergence as well. S

يستهدف البحث الحالي التعرف إلى 1 .بناء مقياس سمات الشخصية المفضلة لدى معلمي ومعلمات التربية الخاصة في العراق من وجهة نظر ذوي اإلختصاص والعاملين في هذا المجال. 2 .مستوى توافر سمات الشخصية المفضلة لدى معلمي ومعلمات التربية الخاصة في العراق من وجهة نظر ذوي اإلختصاص والعاملين في هذا المجال. 3 .داللة الفروق اإلحصائية في سمات الشخصية المفضلة لدى معلمي ومعلمات التربية الخاصة ً في الع ارق من وجهة نظر ذوي اإلختصاص والعا

يعد الربط بين جدلية ما هو كائن وما يجب أن يكون فيما يتعلق بمكانة القوة في المدرك الاستراتيجي الأمريكي وإشكالية توظيفها، من المتلازمات الذهنية الراسخة في التفكير الاستراتيجي الأمريكي، لاسيما بعد أحداث 11 أيلول 2001 وحربي أفغانستان والعراق، والتي كانت من المحفزات الأساسية للبحث عن توظيف بدائل أو وسائل فاعلة تعزز مخرجات الأداء الاستراتيجي الأمريكي بما يصب في المحصلة النهائية في جانب تكتيل القدرات الاستراتيجية