The critical need for robust defense against cyber-attacks has driven thedevelopment of Cyber Int... more The critical need for robust defense against cyber-attacks has driven thedevelopment of Cyber Intrusion Detection Systems (CIDSs). AlthoughCIDSs have proven good capabilities of swiftly and accurately iden-tifying malicious activities, there are still some challenges have to betackled. The exponential growth of the search space is one of thesechallenges making finding an optimal solution computationally infeasi-ble for large datasets. Furthermore, the weight space while searchingfor optimal weight is highly nonlinear. Motivated by the observedcharacteristics, complexities, and challenges in the field, this paperpresents an innovative (CIDS) named ANWO-MLP (Adaptive NonlinearWhale Optimization Multi-layer Perceptron). A novel feature selectionmethod called ANWO-FS (Adaptive Nonlinear Whale Optimization -Feature Selection) is employed in the proposed CIDS to identify themost predictive features enabling robust MLP training even in thehighly nonlinear weight spaces. The insider threat ...
In data mining, outlier detection is a major challenge as it has an important role in many applic... more In data mining, outlier detection is a major challenge as it has an important role in many applications such as medical data, image processing, fraud detection, intrusion detection, and so forth. An extensive variety of clustering based approaches have been developed to detect outliers. However they are by nature time consuming which restrict their utilization with real-time applications. Furthermore, outlier detection requests are handled one at a time, which means that each request is initiated individually with a particular set of parameters. In this paper, the first clustering based outlier detection framework, (On the Fly Clustering Based Outlier Detection (OFCOD)) is presented. OFCOD enables analysts to effectively find out outliers on time with request even within huge datasets. The proposed framework has been tested and evaluated using two real world datasets with different features and applications; one with 699 records, and another with five millions records. The experimen...
International Journal of Advanced Computer Science and Applications
With the continuous evolve of E-commerce systems, online reviews are mainly considered as a cruci... more With the continuous evolve of E-commerce systems, online reviews are mainly considered as a crucial factor for building and maintaining a good reputation. Moreover, they have an effective role in the decision making process for end users. Usually, a positive review for a target object attracts more customers and lead to high increase in sales. Nowadays, deceptive or fake reviews are deliberately written to build virtual reputation and attracting potential customers. Thus, identifying fake reviews is a vivid and ongoing research area. Identifying fake reviews depends not only on the key features of the reviews but also on the behaviors of the reviewers. This paper proposes a machine learning approach to identify fake reviews. In addition to the features extraction process of the reviews, this paper applies several features engineering to extract various behaviors of the reviewers. The paper compares the performance of several experiments done on a real Yelp dataset of restaurants reviews with and without features extracted from users behaviors. In both cases, we compare the performance of several classifiers; KNN, Naive Bayes (NB), SVM, Logistic Regression and Random forest. Also, different language models of n-gram in particular bi-gram and tri-gram are taken into considerations during the evaluations. The results reveal that KNN(K=7) outperforms the rest of classifiers in terms of f-score achieving best f-score 82.40%. The results show that the f-score has increased by 3.80% when taking the extracted reviewers behavioral features into consideration.
A Fuzzy Logic Architecture for Rehabilitation Robotic Systems
International Journal of Computers Communications & Control
Robots are highly incorporated in rehabilitation in the last decade to compensate lost functions ... more Robots are highly incorporated in rehabilitation in the last decade to compensate lost functions in disabled individuals. By controlling the rehabilitation robots from far, many benefits are achieved. These benefits include but not restricted to minimum hospital stays, decreasing cost, and increasing the level of care. The main goal of this work is to have an effective solution to take care of patients from far. Tackling the problem of the remote control of rehabilitation robots is undergoing and highly challenging. In this paper, a remote wrist rehabilitation system is presented. The developed system is a sophisticated robot ensuring the two wrist movements (Flexion /extension and abduction/adduction). Additionally, the proposed system provides a software interface enabling the physiotherapists to control the rehabilitation process remotely. The patient’s safety during the therapy is achieved through the integration of a fuzzy controller in the system control architecture. The fuzz...
Design and control of an exoskeleton robot with EMG-driven electrical stimulation for upper limb rehabilitation
Industrial Robot: the international journal of robotics research and application
Purpose The purpose of this paper is to design and develop a new robotic device for the rehabilit... more Purpose The purpose of this paper is to design and develop a new robotic device for the rehabilitation of the upper limbs. The authors are focusing on a new symmetrical robot which can be used to rehabilitate the right upper limb and the left upper limb. The robotic arm can be automatically extended or reduced depending on the measurements of the patient's arm. The main idea is to integrate electrical stimulation into motor rehabilitation by robot. The goal is to provide automatic electrical stimulation based on muscle status during the rehabilitation process. Design/methodology/approach The developed robotic arm can be automatically extended or reduced depending on the measurements of the patient's arm. The system merges two rehabilitation strategies: motor rehabilitation and electrical stimulation. The goal is to take the advantages of both approaches. Electrical stimulation is often used for building muscle through endurance, resistance and strength exercises. However, in...
The problem of inverse kinematics is essential to consider while dealing with the robot’s mechani... more The problem of inverse kinematics is essential to consider while dealing with the robot’s mechanical structure in almost all applications. Since the solution of the inverse kinematics problem is very complex, many research efforts have been working towards getting the approximate solution of this problem. However, for some applications, working with the approximate robot’s model is neither sufficient nor efficient. In this paper, an adaptive inverse kinematics methodology is developed to solve the inverse kinematics problem in such a way that compensate for unknown uncertainty in the Jacobian matrix of the serial kinematic chain robot manipulators. The proposed methodology is based on continuous second order sliding mode strategy (CSOSM-AIK). The salient advantage of the CSOSM-AIK approach is that it does not require the availability of the kinematics model or Jacobian matrix of the robot manipulators from joint space variables to Cartesian space variables. The global stability of t...
In this paper, we develop an efficient parallel semi-systolic array structure to concurrently com... more In this paper, we develop an efficient parallel semi-systolic array structure to concurrently compute multiplication and squaring operations in the binary extension field, GF(2 m), for efficient modular exponentiations. The proposed array is well suited to VLSI implementation that it has a regular structure as well as local communications between its processing elements. The obtained results show that the proposed array structure achieves a significant reduction in area-time (AT) complexity by at least 95.9% over the corresponding existing structures.
Market-based dynamic task allocation in mobile surveillance systems
2009 IEEE International Workshop on Safety, Security & Rescue Robotics (SSRR 2009), 2009
Abstract Mobile surveillance systems include a vast array of mobile sensing nodes with varying se... more Abstract Mobile surveillance systems include a vast array of mobile sensing nodes with varying sensing modalities that can sense continuously the volume of interest. These distributed nodes are capable of sensing, processing, mobilization and communication with other nodes. One of the fundamental problems of mobile surveillance systems is how to assign a set of tasks to a set of mobile sensors and how to coordinate the behavior of these mobile sensing nodes in order to perform cooperative tasks efficiently. This problem is ...
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Papers by Ahmed Elmogy