1,722,124 research outputs found
Interview with Muhammad Hassan Al-Zayat
No full textمقابلة مع الدبلوماسي المصري، ووزير الدولة للإعلام ثم وزير الخارجية الأسبق، محمد حسن الزيات، يناقش فيها تقييمة وتوقعاتة السلبية لما آل إليه موقف الحرب المتفجرة بمنطقة الخليج بسبب غزو العراق للكويت، فمن بعد إستمرار الرئيس صدام حسين لوضع الحرب داخل الكويت من بعد حربه مع إيران. قام بالمقابلة إبراهيم عابدين.An interview with Egyptian diplomat, Minister of State for Information and then the former Minister of Foreign Affairs, Muhammad Hassan Al-Zayat, in which he discusses the war situation in the Gulf region due to Iraq’s invasion of Kuwait, after President Saddam Hussein continued to put the war inside Kuwait after his war with Iran. The interview was conducted by Ibrahim Abdeen
An ICN-Based Authentication Protocol for a Simplified LTE Architecture
Full text linkNowadays, theCompagno, Alberto mostConti, Mauro diffusedKhan, Muhammad Hassan approach for supporting device mobility is to implement specific mechanisms at link-layer (e.g., tunneling) supported by a dedicated architecture (e.g., LTE architecture). While this approach can handle mobility well within a singular network, it fails to provide a seamless Internet connectivity when mobility occurs among different networks. To achieve inter-networks mobility, researchers proposed to implement mobility management protocols at the network layer. However, the current IP network layer has not been designed for handling mobility, with the result that none of the proposed IP-based methodologies is able to provide a satisfactory solution. Information Centric Networking (ICN) is an emerging networking paradigm that provides a better support for mobility than IP, enabling full mobility management at network layer. In this paper, we take a fresh look on mobility management and propose a simplified LTE infrastructure that exploits the mobility support provided at the ICN network layer. We revise the current device authentication protocol for LTE, and we present a novel handover protocol that exploits the ICN communication style. Compared to the protocol adopted in the current LTE, our proposals are able to reduce the number of messages required to authenticate or re-authenticate a device during mobility
Securing Information Centric Networking
No full textIn recent years, the usage model of the current Internet has experienced an unexpected paradigm shift due to overwhelming requirements in distributed content distribution, device mobility, network scalability, information retrieval, network-based services to name a few. To address these pressing requirements, along with inherent security (which was completely ignored by the early adopters of the Internet), researchers have proposed the Information Centric Networking (ICN) paradigm as a possible replacement of the current host-centric communication model.
In ICN, named content turns out to be a ``first-class entity", thus focusing on efficient content distribution, which is debatably not well served by the current Internet. Several projects have embraced the ICN philosophy and aim at proposing a viable future Internet architecture. However, to successfully accomplish the objective, ICN and its implementing projects should include a leading obligation in their design, i.e., support security from the outset. To evade the prolonged and endured past of incremental security-patching and retrofitting that characterizes the current Internet architecture.
This dissertation goes into such direction and focuses on securing ICN paradigm and its implementing architectures. In particular, this dissertation contributes by: (i) addressing vulnerabilities in the interaction of ICN's implicit features and widely used existing technology, such as multimedia streaming; (ii) exploiting ICN intrinsic mobility support to provide security services to the upper layer, such as authentication; (iii) securing the ICN mobility features; (iv) addressing the architectural security issues that are intrinsic to the ICN design; and (v) addressing the feasibility and effectiveness of ICN with respect to real-world deployment configurations
An Inverse Perspective Mapping Approach using Monocular Camera of Pepper Humanoid Robot to Determine the Position of Other Moving Robot in Plane
No full textThis article presents a method to know the position of object or moving robot in the plane while the camera is moving dynamically. An Inverse Perspective mapping (IPM) approach has been embedded in a monocular camera on Head of Pepper Humanoid Robot (Softbank Robotics) for real time position determination of other object or robot in plane. While the Pepper head is moving, it is difficult to determine position or distance to objects in front of the robot with any different degree of certainity. By applying IPM, a linear relationship between the IPM frame and world frame becomes the key element to know the position of object while the head is static but when the head orientation changes the IPM is modified to adapt the linear relationship between both frames. So, the proposed method is based on the extraction of accurate bird’s-eye view. The method includes the Image Acquistion, IPM Filtering, Detection Phase, Region of Interest Selection and Pixel remapping
An Approach for Multi-Robot Opportunistic Coexistence in Shared Space
No full textThis thesis considers a situation in which multiple robots operate in the
same environment towards the achievement of different tasks. In this situation,
please consider that not only the tasks, but also the robots themselves
are likely be heterogeneous, i.e., different from each other in their
morphology, dynamics, sensors, capabilities, etc. As an example, think
about a "smart hotel": small wheeled robots are likely to be devoted to
cleaning floors, whereas a humanoid robot may be devoted to social interaction,
e.g., welcoming guests and providing relevant information to
them upon request.
Under these conditions, robots are required not only to co-exist, but also
to coordinate their activity if we want them to exhibit a coherent and
effective behavior: this may range from mutual avoidance to avoid collisions,
to a more explicit coordinated behavior, e.g., task assignment or
cooperative localization.
The issues above have been deeply investigated in the Literature. Among
the topics that may play a crucial role to design a successful system, this
thesis focuses on the following ones:
(i) An integrated approach for path following and obstacle avoidance is
applied to unicycle type robots, by extending an existing algorithm [1]
initially developed for the single robot case to the multi-robot domain.
The approach is based on the definition of the path to be followed as a
curve f (x;y) in space, while obstacles are modeled as Gaussian functions
that modify the original function, generating a resulting safe path. The
attractiveness of this methodology which makes it look very simple, is
that it neither requires the computation of a projection of the robot position
on the path, nor does it need to consider a moving virtual target
to be tracked. The performance of the proposed approach is analyzed
by means of a series of experiments performed in dynamic environments
with unicycle-type robots by integrating and determining the position of
robot using odometry and in Motion capturing environment.
(ii) We investigate the problem of multi-robot cooperative localization
in dynamic environments. Specifically, we propose an approach where
wheeled robots are localized using the monocular camera embedded in
the head of a Pepper humanoid robot, to the end of minimizing deviations
from their paths and avoiding each other during navigation tasks.
Indeed, position estimation requires obtaining a linear relationship between
points in the image and points in the world frame: to this end, an
Inverse Perspective mapping (IPM) approach has been adopted to transform
the acquired image into a bird eye view of the environment. The
scenario is made more complex by the fact that Pepper’s head is moving
dynamically while tracking the wheeled robots, which requires to consider
a different IPM transformation matrix whenever the attitude (Pitch
and Yaw) of the camera changes. Finally, the IPM position estimate returned
by Pepper is merged with the estimate returned by the odometry
of the wheeled robots through an Extened Kalman Filter. Experiments
are shown with multiple robots moving along different paths in a shared
space, by avoiding each other without onboard sensors, i.e., by relying
only on mutual positioning information.
Software for implementing the theoretical models described above have
been developed in ROS, and validated by performing real experiments
with two types of robots, namely: (i) a unicycle wheeled Roomba robot(commercially available all over the world), (ii) Pepper Humanoid robot
(commercially available in Japan and B2B model in Europe)
Optimization of MEMS piezo-electric sensor for smart textile application / Muhammad Hassan Rehman
Full text linkMEMS piezoelectric cantilever based sensor for smart textile application are useful to monitoring a various physiological parameter. Especially blood pressure necessary to measure which treat critical conditions like hypotension and hypertension and it can cause heart failures and attacks, strokes, dizziness and shock. Blood pressure is measured in millimeter of mercury(mmHg) units. During each heart beat blood pressure varies between systolic (maximum) and diastolic (minimum). Hence direct measure of heart beat can be considered as the determination of the blood pressure. Normal human systolic pressure is 120mmHg and diastolic pressure is 80mmHg. For blood pressure monitoring application, health care industry combines smart shirt with compatible sensors which are required to operate in the range of 50mmHg-180mmHg. MEMS piezoelectric cantilever based sensors are widely in blood pressure measurement because it provides higher sensitivity to pressure, tunable sensitivity, simple structure and micro in size. In this research project, a U-shaped MEMS piezoelectric cantilever based sensor is designed and demonstrated using COMSOL Multiphysics software. Result obtained from the simulation is the deflection of the U-shaped cantilever when normal diastolic pressure 80mmHg is applied. Among other piezoelectric material Lead Zirconate Titanate (PZT-5H) as a sensing layer of U-shaped cantilever gives better sensitivity at diastolic condition (80mmHg) showing displacement and electric potential of 11.456μm and 2.0523V which is 41.40 higher than rectangle shaped cantilever. For the conclusion, a piezoelectric MEMS cantilever based sensor is successfully designed, simulated and optimized. Optimization parameter had also been performed at different length of cantilever which shows that longer gives greater deflection at diastolic condition and improves the sensitivity of sensor due to the uniform distribution of stress throughout the surface of cantilever. While by using U-shaped of cantilever the size of the cantilever reduces and gives better performance as compare to rectangle shaped cantilever
Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
No full textRailway system consists of complicated, most often than not, confusing routes. As train networks expand, routes complexity increases thus indirectly affecting accustomed user. Users are left to their own devices in order to figure out the best route based on their requirements. In this paper, users requirement are determined based on the time taken to reach the destination station. The time taken to reach the destination station was influenced by how many stations that users need to pass through. The research methodology for this project consists of five phases which are, preliminary study, data collection, system design and implementation and result analysis. Project finding are based on the Railway Shortest Path Planner (RSPP) application framework that consists of input module, output module and process module. Users need to input source and destination station and the output will be the proposed shortest path and other train information’s such as train types, train lines and stations involves. For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. Using ACO, a Railway Shortest Path Planner (RSPP) application will be developed to help user determine their shortest path from one station to another. The shortest path is determine based on the length of route. This application will be tested using a case study of Malaysia Kuala Lumpur Railway System that integrates three types of different trains known as Light Rail Transit (LRT), Monorail line (KL Monorail) and Commuter Rail System (KTM). Result shows that ACO are suitable to be used in this project as the RSPP’s result shows its accuracy against the manual calculated result
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Fair-RTT-DAS: A robust and efficient dynamic adaptive streaming over ICN
Full text linkTo sustain the adequate bandwidth demands over rapidly growing multimedia traffic and considering the effectiveness of Information-Centric Networking (ICN), recently, HTTP based Dynamic Adaptive Streaming (DASH) has been introduced over ICN, which significantly increases the network bandwidth utilisation. However, we identified that the inherent features of ICN also causes new vulnerabilities in the network. In this paper, we first propose a novel attack called as Bitrate Oscillation Attack (BOA), which exploits fundamental ICN characteristics: in-network caching and interest aggregation, to disrupt DASH functionality. In particular, the proposed attack forces the bitrate and resolution of video received by the attacked client to oscillate with high frequency and high amplitude during the streaming process. To detect and mitigate BOA, we design and implement a reactive countermeasure called Fair-RTT-DAS. Our solution ensures efficient bandwidth utilisation and improves the user perceived Quality of Experience (QoE) in the presence of varying content source locations. For this purpose, Fair-RTT-DAS consider DASH’s two significant features: round-trip-time (RTT) and throughput fairness. In the presence of BOA in a network, our simulation results show an increase in the annoyance factor in user’s spatial dimension, i.e., increase in oscillation frequency and amplitude. The results also show that our countermeasure significantly alleviates these adverse effects and makes dynamic adaptive streaming friendly to ICN’s implicit features
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