The Department of Electrical Engineering at the University of Technology in cooperation with the University Follow-up Department held an awareness lecture on the reality of cybercrime and combating electronic extortion on Monday 18/2/2019 at the Tigris Hall.

The lecture was delivered by a cadre from the Ministry of Interior, including Major General Dr. Saad Maan, Director of Relations and Information of the Ministry of Interior and a number of officers specialized in the field of cybercrime.

The lecture focused on ways to immunize students and youth against cases of extortion through social media, smart phones and how to combat extortion.

In the lecture, he discussed the definition of cybercrime, types of crimes, cybercrime and hitting official websites that belong to government institutions and departments.

The lecture was attended by Prof. Dr. Dari Yousif Mahmoud, head of the department and assistants and heads of scientific branches and a large collection of professors and staff members of the department.

Hossam Emad Abdul Razzaq received his master's degree from the Department of Computer Science at the University of Technology for his thesis entitled:

 (An interdisciplinary mandate based on multiple biometric techniques)

Robust Authorization Based on Multi Biometric Techniques

In this thesis he proposed a multi-finger biometric identification system, which integrates the face and the shoulder veins at the level of characteristics. Both of the two fingers used are non-palms.

 The proposed system consists of two phases: the first is the processing phase, which contains a proposed algorithm for the discovery of the important palm region, and the second stage is a proposed symbiotic neural network structure consisting of two identical sub-networks with a common set of weights. The task is to compress the data and extract the properties, The two sub-networks are then merged to merge the properties. A new matching function has also been proposed.

Two fingerprint biometric systems were applied to one side and the other to the palm veins to compare and indicate the superiority of the proposed multi-finger biometric system.

The experimental results demonstrate the superiority of the proposed multi-fingerprint system, overcoming the disadvantages of both non-contact fingerprints and integration at the property level. It has also proven to be powerful against attack and more convenient for users. The system achieves a 99.10% high personal recognition rate and an error rate of 0.9009%. The system is very fast in matching, since the time required for each character identification process is 0.16 seconds. Thus, the proposed multi-fingerprint biometric identification system can be a powerful method of authorization.

The discussion committee consisted of: Ahmed Tarek and Dr. Abdul Amir Abdullah from the University of Technology / Computer Science Department and Prof. Bilal Ismail Khalil from Anbar University / Department of Computer Science and Student Supervisor Call of Fleih Hassan.

 Ali Jalil Taher received his PhD from the Department of Electrical Engineering at the University of Technology for his thesis entitled:

"Improving the performance of a small information system based on compressed sensitivity"

 The discussion committee was set up in the hall of the Tigris in the section of: Prof.Dr. Jawad Kazem Ali as President and Prof. Hadi Tarash Zboun and Prof. Saad Saffah Hassoun, Prof.Dr. Saad Mohammed Saleh and Prof. Dr. Samir Abdul Khaleq Aziz Members of Dr. Ahmed Abdel-Saheb and Prof. Thamer Rashid Said Musharraf.

, The research aims to conduct the modeling process to equal to twice the maximum frequency of the signal. However, some applications require less specific modeling of Nyquist. For this reason, compression sensing deals with signal modeling less than Nyquist.

In this work, a modified compressed sensitivity algorithm was introduced. The modified compressed sensitivity algorithm was tested for performance using MATLAB R2015a software with real signal data. Which were obtained through two applications: the first included practical implementation and data storage for the Ultra-sonic signal. The second application included the practical implementation of the microwave radar system and the storage of digital data resulting from the movement of living objects to the SD memory card.

        The work included the provision of the LDPC encoder for the purpose of improving system performance. In addition, the work also included the practical implementation of the Altera Cyclone IV FPGA encryption and decoding system through direct VHDL programming.

       The simulation results for each of the two signals taken into consideration, which included an analogue of the ultra-sonic signal and the digital microwave radar signal, showed a similarity between the signal and the results of the proposed modified algorithm.

Ahmed Abdul-Zahra Shakara received a PhD from the Department of Computer Science at the University of Technology for his thesis entitled:

Expansion the Small Video Motion

The researcher explained that the system of expanding the movement of small video plays two main functions. The first is to detect small movements in the video. The second is the expansion of these movements for the purpose of extracting information, including (information extraction).

Motion detection was performed in three ways: first motion is detected using the difference between frames video technique. The problem with this method is the unstable background of video images. The second method was found to solve the unstable background of the video images. Face tracing, which is an object tracking technique, was used before motion detection technology.

Object tracking techniques can be used to track an object's movements in any region, not just to track facial area movements, such as the movement of birds. The method of tracking the face has the ability to detect movements from the facial area only, but is unable to detect movements from the rest of the human body.

The third method was found to solve the previous problems by isolating the background and focusing on the movement area only. Skin separation, which is one of the techniques of color space, was used before the motion detection technique. The color space techniques can be used to isolate any area of ​​the movements from their surroundings, not just the skin area such as plane movement in the sky.

 The discussion committee was set up in the discussion room in the annex building of the department of Prof. Abdel-Mohsen Gaber, Prof. Shaima Hameed, and Prof. Maysa Abdel Ali, they are from the University of Technology / Computer Science Department, Ban Nadim from Nahrain University / Faculty of Science Abdulwahab Sami from Mustansiriya University / Faculty of Education and Student Supervisor Yousra Hussein Ali.

Teaching Assistant Uday Zakaria Jassim in the Department of Civil Engineering at the University of Technology is a scientific member of the International Journal of Civil and Technological Engineering

International Journal oh civil engineering and technology IJCIET

A magazine published in the State of India and specialized in civil engineering and is located within the Scopas containers.