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Article
Image Based Vehicle Traffic Measurement
اعتماد التصوير في قياس الكثافة المرورية

Author: Hamid M. Hasan
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2014 Volume: 32 Issue: 11 Part (A) Engineering Pages: 2722-2733
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

This research deals with measurement of the density of vehicles traffic. The traffic density is estimated from an image captured using the ordinary optical camera. An image processing methods is used and the edge of the objects is extracted. A two dimensional wavelet transform is used as a feature extraction. The extracted features were reduced by Multiple Region Centroid Estimation. A neural network is trained using many sets of images with different Traffic densities then it is used for traffic measurement. A classification rate of 98% can be achieved.

يتناول هذا البحث عرض طريقة لقياس الكثافة المرورية للمركبات في الطرق. تتضمن الطريقة تخمين الكثافة المرورية من خلال اخذ صورة بواسطة الكامرا العادية ( الضوئية) . وبواسطة طرق معالجة الصور يتم تحويل الصورة الى شكل اخر يتضمن الحافات لمكونات الصورة فقط. ثم بواسطة خوارزمية (2D-Wavelet) يتم تحديد الخواص المهمة والتي يتم تقليص حجمها بواسطة الطريقة المقترحة ( Multiple Region Centroid Estimation MRCE). ان قياس الكثافة المرورية تم باستخدام شبكة عصبية تم تدريبها على خواص منتزعة من صور لكثافات مرورية مختلفة تم تصنيفها يدويا . ان الشبكة العصبية تقوم بتصنيف الكثافة المرورية بمعدل تصنيف 98%.


Article
A Comparative Analysis for Congestion Mechanism in COAP and COCOA

Authors: Hamid M. Hasan --- Ahmed I. Ahmed
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2018 Volume: 36 Issue: 8 Part (A) Engineering Pages: 867-877
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Internet of things (IoT) is the paradigm for internetworking devices for data exchange and control. One of the important problems facing the IoT networks is the congestion; many researchers have discussed this problem. In this research, a comparison between two congestion control mechanisms used for internet of things the (CoAP and CoCoA) is presented. The cooja simulator was used for simulating different topologies and scenarios and the packets transmitted was captured using wireshak utility program. The captured packets were analyzed using MATLAB tools. The analysis showed that the CoCoA outperform CoAP in terms of goodput, number of dropped packets and bandwidth utilization.

Keywords

CoAP --- CoCoA --- congestion control --- Cooja --- IoT --- Wireshark.


Article
Development of Model Predictive Controller for Congestion Control Problem †

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Abstract

Abstract— Nowadays congestion in computer networks is pointed out as animportant and a challenging problem. TCP (Transmission Control Protocol) has themechanism to avoid congestion in computer networks. TCP detects congestion bychecking acknowledgements or time-out processing and adjusts TCP window sizes ofsenders. However, this control method shows low efficiency in communicationsbecause it is based on a mechanism that avoid congestion after congestion once appearsin computer networks. TCP random early detection RED is another popular congestioncontrol scheme. The fundamental idea behind this control algorithm randomly drops theincoming packets proportional to the average queuing length and to keep the queuinglength to a minimum. To achieve high efficiency and high reliability of communicationsin computer networks, many control strategies based on advanced control theories havebeen introduced to tackle the congestion problem. Model Predictive Control (MPC) isthe only practical control method that takes account of system constraints explicitly, andthe only ‘advanced control’ method to have been adopted widely in industry. MPC is amodel-based method which uses online optimization in real time to determine controlsignals. The solution to optimization problem is usually formulated with the help of aprocess model and measurements. At each control interval, an optimization algorithmattempts to determine the plant dynamics by computing a sequence of control inputvalues satisfying the control specifications. In this work, a planning strategy based onMPC will be developed for congestion control problem. A "preset controllers" approachwill be introduced for such application. The effectiveness of considered controller willassessed in terms of how well it could show good tracking performance, maximizing theutilization of the available bandwidth and to what extent it could cope with systemuncertainties.

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