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- 저자 : Houcine Hassan (검색결과 5 건)
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Orbital Metastatic Angiosarcoma
Souhail Hassane,Elasri Fouad,Iferkhass Said,Reda Karim,Naoumi Asmae,Chana Houcine,Oubaaz Abdelbar 대한안과학회 2010 Korean Journal of Ophthalmology Vol.24 No.6
We report a case of a 48-year-old man who developed metastatic angiosarcoma in her left orbit. A 48-year-old man was first sent to us for a check up of proptosis of the left eye. A left orbital tumor was recognized on orbital computed tomography scans. The open biopsy showed angiosarcoma. Chest X-ray films and thoracic computed tomography showed an abnormal mass in the left inferior lung field. Angiosarcoma was confirmed by transbronchial lung biopsy. In summary, we believed that the orbital tumour was an initial symptom of the metastasis ensuing from the lung angiosarcoma.
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Real-time Embedded Architecture for improving Pervasive Robot Services
Carlos Dominguez,Houcine Hassan,Alfons Crespo 보안공학연구지원센터 2008 International Journal of Software Engineering and Vol.2 No.1
The integration of embedded real-time control systems with the physical world via sensors and actuators (pervasive computing systems) is creating a nascent infrastructure for a technical, economic and social revolution. Service robots have to execute tasks that have different criticality, flexible timing constraints and variable execution time, because they perform their activities in dynamic and unpredictable environments, they share resources and have to cooperate to fulfill the objectives. The environmental conditions have influence in the variability of the system load. For instance, the computational requirements of recognition tasks are variable and dependent on the number of objects perceived in scenes. To tackle the computational variability of pervasive robots a real-time architecture is proposed in this paper.
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Flexible Real-time Embedded Architecture for Advanced Service Robots
David Ramada,Carlos Dominguez,Houcine Hassan,Alfons Crespo 보안공학연구지원센터 2008 International Journal of Smart Home Vol.2 No.4
In most advanced real-time control applications such as service robots, the tasks have different criticality, flexible timing constraints and variable execution time. For instance, autonomous service robots perform their activities in dynamic environments, share resources and have to cooperate to fulfill their objectives. These changing environmental conditions produce a variability of the system load. Firstly, the computational requirements of recognition tasks are variable and dependent on the number of objects perceived in scenes. Secondly, the application processes are executed at different frequencies with varying periods and deadlines that are dependent on robot speeds. To tackle these aspects a flexible real-time architecture is implemented in rt-linux in this paper. Moreover, the architecture permits to extract the slack time, enabled in the system due to load variability, and to invest it in improving the communication performances of the robots. Experimental evaluations of the architecture have been carried out with real autonomous robots.
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Kim, Dae-Young,Kim, Seokhoon,Hassan, Houcine,Park, Jong Hyuk Springer-Verlag 2017 CLUSTER COMPUTING Vol.20 No.2
<P>Recent advances in ICT technologies lead to intelligent services based on monitoring data. A system for the intelligent services is called as a cyber physical system (CPS). The CPS is an IoT-Cloud system which is an integrated system between computing world and a physical sensor field. It makes feasible applications by connecting the monitoring data in the physical world to decision making in the computing world. That is, between the physical world and the computing world, the CPS supports various interactions to objects as IoT-Cloud system. In the physical sensor field of the CPS, a sensor network, which consists of sensors and actuators is constructed. ZigBee is considered as the representative wireless communication technology for the sensor network. However, it has short transmission range and uses shared frequency band with high competition. Therefore, it is not suitable for the CPS applications with long service range such as smart factory or smart environment monitoring. For these CPS applications, it is required to apply low power wide area network (LPWAN) to the sensor network. In this paper, LPWAN requirements for the CPS (i.e., the IoT-Cloud system) applications are analyzed and a radio management method for data transmission of LPWAN in the IoT-Cloud system is designed. For the validation of the efficiency of the data transmission, computer simulations are carried out. Results show that the proposed method outperforms state of the art methods. In this way, the proposal improves the transmission delay over TDMA in between 33 and 51% depending on the number of sensors considered and presents a superior performance in the transmission of data packets.</P>
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Adaptive data rate control in low power wide area networks for long range IoT services
Kim, Dae-Young,Kim, Seokhoon,Hassan, Houcine,Park, Jong Hyuk Elsevier 2017 Journal of computational science Vol.22 No.-
<P><B>Abstract</B></P> <P>Internet of Things (IoT) technologies can provide various intelligent services by collecting information from objects. To collect information, Wireless Sensor Networks (WSNs) are exploited. The Low Power Wide Area Network (LPWAN), one type of WSN, has been designed for long-range IoT services. It consumes low power and uses a low data rate for data transmission. The LPWAN includes several communication standards, and Long Range Wide Area Network (LoRaWAN) is the representative standard of the LPWAN. LoRaWAN provides several data rates for transmission and enables adaptive data rate control in order to maintain network connectivity. In the LoRaWAN, the wireless condition is considered by the reception status of the acknowledgement (ACK) message, and adaptive data rate control is performed according to the wireless condition. Because the judgment of the wireless condition by the reception status of ACK messages does not reflect congestion, adaptive data rate control can lead to inefficiency in data transmission. For efficient data transmission in long-range IoT services, this paper proposes a congestion classifier using logistic regression and modified adaptive data rate control. The proposed scheme controls the data rate according to the congestion estimation. Through extensive analysis, we show the proposed scheme’s efficiency in data transmission.</P> <P><B>Highlights</B></P> <P> <UL> <LI> In this paper, the necessity of congestion estimation in long range IoT applications is described. Congestion Classifier using Logistic Regression and the modified adaptive data rate control scheme is designed. </LI> <LI> For the validation of the efficiency of the data transmission, analysis on the transmission delay is carried out. Results show that the proposed method outperforms state of the art methods. </LI> <LI> In this way, the proposal improves transmission efficiency in aspect of the transmission delay in wireless environment where congestion occurs. </LI> <LI> Our proposed method predicts congestion status by learning and determines whether a node drops data rate or not. Thus, it leads to avoiding unnecessary change of data rate. </LI> <LI> Through analysis on transmission delay, the proposed scheme has shown that it is the proper data rate control method for IoT networking in congestion environment. </LI> </UL> </P>
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