University of Jordan

About: University of Jordan is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Health care. The organization has 7796 authors who have published 13764 publications receiving 213526 citations.

Learning in the Model Space for Cognitive Fault Diagnosis

Abstract: The emergence of large sensor networks has facilitated the collection of large amounts of real-time data to monitor and control complex engineering systems. However, in many cases the collected data may be incomplete or inconsistent, while the underlying environment may be time-varying or unformulated. In this paper, we develop an innovative cognitive fault diagnosis framework that tackles the above challenges. This framework investigates fault diagnosis in the model space instead of the signal space. Learning in the model space is implemented by fitting a series of models using a series of signal segments selected with a sliding window. By investigating the learning techniques in the fitted model space, faulty models can be discriminated from healthy models using a one-class learning algorithm. The framework enables us to construct a fault library when unknown faults occur, which can be regarded as cognitive fault isolation. This paper also theoretically investigates how to measure the pairwise distance between two models in the model space and incorporates the model distance into the learning algorithm in the model space. The results on three benchmark applications and one simulated model for the Barcelona water distribution network confirm the effectiveness of the proposed framework.

Road traffic sign detection in color images

Abstract: This work is a part of a smart system that can be used in autonomous vehicles or can assist drivers in locating road signs. The detection technique includes histogram equalization, light control and color segmentation. In this technique, both the HSV and the YUV color spaces are incorporated to achieve better segmentation results than that of one color space techniques.

MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems

Abstract: In this article, an effective metaheuristic algorithm named multi-trial vector-based differential evolution (MTDE) is proposed. The MTDE is distinguished by introducing an adaptive movement step designed based on a new multi-trial vector approach named MTV, which combines different search strategies in the form of trial vector producers (TVPs). In the developed MTV approach, the TVPs are applied on their dedicated subpopulation, which are distributed by a winner-based distribution policy, and share their experiences efficiently by using a life-time archive. The MTV can be deployed by different types of TVPs, particularly, we use the MTV approach in the MTDE algorithm by three TVPs: representative based trial vector producer, local random based trial vector producer, and global best history based trial vector producer. Therefore, this study introduces the MTV approach to boost the performance of the MTDE and demonstrates its advantages in dealing with problems of different levels of complexity. The performance of the proposed MTDE algorithm is evaluated on CEC 2018 benchmark suite which include unimodal, multimodal, hybrid, and composition functions and four complex engineering design problems. The experimental and statistical results are compared with state-of-the-art metaheuristic algorithms: GWO, WOA, SSA, HHO, CoDE, EPSDE, QUATRE, and MKE. The results demonstrate that the MTDE algorithm shows improved performance and benefits from high accuracy of optimal solutions obtained.

The syndrome of chronic recurrent multifocal osteomyelitis and congenital dyserythropoietic anaemia. Report of a new family and a review.

Abstract: A new autosomal recessive syndrome of chronic recurrent multifocal osteomyelitis (CRMO) and congenital dyserythropoietic anaemia (CDA) with microcytosis has recently been described in four children (two sibships) of one consangineous Arab family. In this report, we describe the clinical features and course of the syndrome of CRMO and CDA in two additional patients (one sibship) from another consanguineous Arab family and review the literature. The two patients (brother and sister), the products of a consanguineous marriage, developed the syndrome at an early age of 3 weeks and 2 months respectively. The diagnosis of CRMO was confirmed by radiological and technetium isotope bone scans. Bone marrow studies confirmed the diagnosis of CDA. Peripheral blood films showed hypochromia and microcytosis. The sites involved by CRMO were periarticular, mainly around the elbow, knee, wrist and small joints of the hand. The brother is now 21 years old and the sister 3.5 years old and CRMO is still active with frequent relapses. The brother developed flexion deformities at the age of 13 years. Both patients failed to thrive; weight and height were below the 5th percentile. Conclusion: this is the second report of the syndrome of chronic recurrent multifocal osteomyelitis and microcytic congenital dyserythropoietic anaemia, confirming it as a clinical entity, inherited as an autosomal recessive trait. The disease is characterised by an early onset, long clinical course of remissions and relapses, and seems to be different from the sporadic form of chronic recurrent multifocal osteomyelitis.