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Article
Design and Develop an Information system for Court Data in the Republic of Iraq by using SSRS Reports with SSAS Cubes

Author: Ayad Mohammed Jabbar
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2015 Volume: 11 Issue: 1 Pages: 105-109
Publisher: Basrah University جامعة البصرة

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Abstract

Multidimensional Online analytical processing (MOLAP) technology is considered a good tool to producemeaningful and quality results by using a multidimensional cube. The term “multidimensional cube” is used to referto the multiple layers of data that are used to show the result. This result is identified by high-level management toincrease the Iraqi court work and to improve its quality. The Iraqi court needs an analytical report to make astrategic decision on case date, case type, case state, judge, criminal age, and criminal gender. Currently, MOLAP isknown as the best and strongest technique because it provides rapid, dynamic, and multiple analyses of data;presents knowledge from different perspectives; comes up with data in time series intervals; and drills down intomultiple levels of data layers to present different types of details. The SQL Server Reporting Service (SSRS) presentsanalysis reports based on the MOLAP cube. This paper focuses on designing and developing the analysis reports ofthe court data system of the Republic of Iraq by using SSRS with SQL Server Analysis Service to create the MOLAPcubes.

Keywords

Court Data --- SSRS Reports --- SSAS Cubes --- SSIS --- MOLAP --- ETL --- DW --- HTTP


Article
Autonomous Navigation of Mobile Robot Based on Flood Fill Algorithm

Author: Ayad Mohammed Jabbar
Journal: Iraqi Journal for Electrical And Electronic Engineering المجلة العراقية للهندسة الكهربائية والالكترونية ISSN: 18145892 Year: 2016 Volume: 12 Issue: 1 Pages: 79-84
Publisher: Basrah University جامعة البصرة

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Abstract

The autonomous navigation of robots is an important area of research. It can intelligently navigate itselffrom source to target within an environment without human interaction. Recently, algorithms and techniqueshave been made and developed to improve the performance of robots. It’s more effective and has high precisiontasks than before. This work proposed to solve a maze using a Flood fill algorithm based on real time cameramonitoring the movement on its environment. Live video streaming sends an obtained data to be processed by theserver. The server sends back the information to the robot via wireless radio. The robot works as a client devicemoves from point to point depends on server information. Using camera in this work allows voiding great timethat needs it to indicate the route by the robot

Keywords

Mobile robot --- Wi-Fi --- OpenCV --- EV3 --- LEGO Mindstorm


Article
Controlling the Balance of Exploration and Exploitation in ACO Algorithm

Author: Ayad Mohammed Jabbar
Journal: Journal of University of Babylon مجلة جامعة بابل ISSN: 19920652 23128135 Year: 2018 Volume: 26 Issue: 4 Pages: 10-17
Publisher: Babylon University جامعة بابل

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Abstract

Ant colony optimization is a meta-heuristic algorithm inspired by the foraging behavior of real ant colony. The algorithm is a population-based solution employed in different optimization problems such as classification, image processing, clustering, and so on. This paper sheds the light on the side of improving the results of traveling salesman problem produced by the algorithm. The key success that produces the valuable results is due to the two important components of exploration and exploitation. Balancing both components is the foundation of controlling search within the ACO. This paper proposes to modify the main probabilistic method to overcome the drawbacks of the exploration problem and produces global optimal results in high dimensional space. Experiments on six variant of ant colony optimization indicate that the proposed work produces high-quality results in terms of shortest route.

خوارزمية النمل هي واحده من خوارزميات البحث عن الحلول المثلى ضمن فضاء واسع من الاحتمالات على نحو شبيه بطريقة النمل في البحث والتقفي لإيجاد الحلول لبعض المشاكل المعقدة التي يصعب حلها باستخدام خوارزميات الذكاء الاصطناعي التقليدية. تستخدم هذه الخوارزمية عمليه البحث في فضاء الحالات للاستنتاج حلول مختلفة اثناء عمليه البحث معتمدة على التوازن بين استكشاف حلول جديدة لتوسيع رقعة البحث وبين استغلال الحلول الجيدة لتحسين الحلول المستخرجة مسبقا. ان عمليه خلق توازن بين هاتين العمليتان يؤدي لتحسين النتائج والخروج بحلول أكثر امثليه. هدف هذا البحث هو ايجاد قانون احتمالي أكثر ملاءمة وقادر على خلق توازن أفضل بين عمليتي الاستكشاف والاستغلال. بعد اجراء ستة تجارب مختلفة من حيث أشكال البينات تم اثبات ان التحسين في هذه الخوارزمية يؤدي الى انتاج حلول عالية الجودة من ناحية قصر طول المسار المكتشف.

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