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Öğe A lightweight image encryption and blowfish decryption for the secure internet of things(Institute of Electrical and Electronics Engineers Inc., 2020) Saddam, Mohanad Jalal; Ibrahim, Abdullahi Abdu; Mohammed, Alaa HamidAs an innovative technology of the future, the Internet of Things (IoT) is expected to connect billions of users. Increased connectivity is expected to generate mountains of data and data protection can be a threat. Architectural tools, in principle, are smaller in size and low in strength. Due to their sophistication, traditional encryption algorithms are often computationally ineffective and require multiple rounds of coding, effectively wasting restricted device resources. But a less complex algorithm will jeopardize required honesty. In this article we propose a lightweight coding algorithm called Stable IoT (SIT). It is a 64-bit block encryption that requires a 64-bit key to encrypt data. Low complexity coding symmetry algorithm called Stable Power with Affine Shift. The coding component can be implemented using a simple syntax consisting of only basic mathematical operations (AND, OR, XOR, XNOR, SHIFTING, SWAPPING). This will help reduce the encoder, as the more complex key expansion method is only done in decryption. The purpose of this document is to conduct a security review and evaluate the performance of the proposed algorithm. The design of the algorithm is a combination of emotion and a unified switch-switch network. Simulation testing reveals that the algorithm provides adequate protection in only five rounds of encryption. The algorithm is hardware-implemented with a low-cost 8-bit microcontroller and the effects of code size, memory consumption, and encryption / decoding execution cycles are contrasted with reference encryption algorithms. © 2020 IEEE.Öğe A new novel optimization techniques implemented on the AVR control system using matlab-simulink(Science and Engineering Research Support Society, 2020) Mohammed, Yousif R.; Basil, Noorulden; Bayat, Oğuz; Mohammed, Alaa HamidThe Automatic Voltage Regulator (AVR) System that structured in MATLAB/Simulink for the generator of synchronous with Conventional Proportional Integral Derivative (PID) Controller. There are numerous Techniques were utilized with Automatic Voltage Regulator system as different Algorithms utilized for taking care of numerous issues that face the traditional PID Controller and Improving the overshoot, steady-state error, rising time, settling time and control of voltage (Step response of Change) in this paper two proposed strategies calculations that called Optimization Methods have been tested, such as, Equilibrium Optimizer (EO) and Rider Optimization Algorithm (ROA) and these procedures that contrasts and past investigations rely upon the parameters that set for PID Controller to improve the positions that got from these Novel Algorithms. © 2020 SERSC.Öğe A review of applications, characteristics and challenges in vehicular ad hoc networks (VANETs)(Institute of Electrical and Electronics Engineers Inc., 2020) Hamdi, Mustafa Maad; Audah, Lukman; Rashid, Sami Abduljabbar; Mohammed, Alaa Hamid; Alani, Sameer; Mustafa, Ahmed ShamilThe density of traffic is increasing daily in the world. As a result, congestion, accidents, and pollution are also increasing. Vehicular ad hoc network VANET, a subclass of mobile ad hoc networks MANETs, is a promising approach for future intelligent transportation system its. These networks have no fixed infrastructure and instead rely on the vehicles themselves to provide network functionality. In this review paper, we present an overview of the concept of vehicular ad hoc networks, applications, characteristics. also, we will provide discuss some of the issues and challenges in VANET. © 2020 IEEE.Öğe A review software defined networking for Internet of things(Institute of Electrical and Electronics Engineers Inc., 2020) Mohammed, Alaa Hamid; Khaleefah, Raad M.; Hussein, M.K.; Abdulateef, Ihsan AmjadWith the emergence of Internet of Things (IoT), there is now increasing interest in simplifying control of wireless networks. This is a very challenging task, which includes information acquisition, information analysis, decision-making and large-scale IoT networks implementing action. Resulting in research to explore the integration of Software Defined Networking (SDN) and IoT to make network control simpler, easier, and less strainy. SDN is a promising new paradigm shift capable of enabling a simplified and robust wireless programmable network to serve a range of physical objects and applications. This review article begins with SDN emerging. Recent significant developments in the wireless and optical domains are then highlighted with a view to integrating SDN and IoT. The SDN and IoT development issues are often explored from a security and scalability viewpoint. © 2020 IEEE.Öğe Achieving optical fiber transmission of over 60 W of electrical power and optical data(Institute of Electrical and Electronics Engineers Inc., 2023) Al-Hadeethi, Alaa Tareq; Uçan, Osman Nuri; Mohammed, Alaa HamidFor future mobile communication networks, optically powered remote antenna modules are shown with simultaneous transmission of over 60 watts of electric power and optical data over an optical fibre. As the temperature rises over the set point, the light source undergoes modulation, causing a shift in wavelength. Fibre Bragg Grating Sensors are presented in this study, along with an examination of their design for use in measuring and monitoring powerline temperature change over a certain temperature range. In this piece, we enhance the link design to extract a greater feed light power from the double-clad fibre output, which in turn increases the provided electric power via power-over-fiber connection. Furthermore, we employ a bespoke photovoltaic power converter that directly converts optical power into electric power to increase the electric power for running remote antenna units. The photovoltaic power converter has an efficiency of more than 50% and can absorb feed light of more than 20 W. Up to 43.7 W of electrical power may be sent over the fibre optic cable thanks to the improved design of the power-over-fiber connection and the use of the solar power converter. Power-over-fiber with optical data transfers utilising a single optical fibre has been demonstrated for the first time at this altitude, according to the scientists.Öğe An early warning system for fires in hospitals and health centers via the internet of things to reduce human and material losses(Institute of Electrical and Electronics Engineers Inc., 2023) Abed Al-Isawi, Omar Mohammed; Alkhater, Karam Hatem; Alrubaee, Saif H.; Almarzoogee, Ammar Hatem; Mohammed, Alaa HamidA fire alarm circuit is a basic circuit that, upon detecting fire, triggers an audible alert such as a buzzer or siren. In order to identify fires in a timely way and avoid any harm to persons or property, fire alarm circuits and smoke sensors are an integral aspect of security systems. Businesses, theatres, shopping centres, hospitals, and other public facilities must have fire alarms and smoke detectors installed by law. We designed a very simple fire alarm circuit out of everyday parts like the Arduino uno r3, the Flame sensor, the Wi-Fi module, the DHT11 temperature and humidity sensor, the Pressure sensor gy-68, the LCD screen, and the GSM module, in contrast to the many complex and expensive stand-alone devices available. This project aims to implement an IoT-based fire early warning system in healthcare facilities with the goal of reducing casualties and property damage.Öğe An optimum design of square microstrip patch antenna based on fuzzy logic rules(Institute of Electrical and Electronics Engineers Inc., 2020) Mohammed, Alaa Hamid; Hamdi, Mustafa Maad; Rashid, Sami Abduljabbar; Shantaf, Ahmed MuhiFluffy Logic empowers creators to control complex frameworks more adequately than customary methodologies. As it gives a basic method to come to positive end result upon questionable, uncertain or uproarious data. Right now have proposed the structure of fluffy rationale controller having three contributions to give right wash time of clothes washer. The goal is to spare parcel of time, power and water for washing the material. The paper portrays the methodology that can be utilized to get a reasonable washing time for various fabrics. The procedure depends completely on the standard of taking non-exact contributions from the sensors exposing them to fluffy number juggling and acquiring a fresh benefit of washing time. © 2020 IEEE.Öğe Design and development of interconnected renewable energy sources focused on grid power inverter energy for sustainable development a review(Institute of Electrical and Electronics Engineers Inc., 2020) Namaa, Hayder Makkee; Mohammed, Alaa Hamid; Raheem, Saeed Ahmed; Taha, Mohammed Yousif; Ibrahim, Abdullahi AbduExpanding energy request because of quick industrialization, ecological worries about creation reliant on petroleum derivatives, declining fossil energy assets, clog of the transmission organization and weakening specialized execution are the drivers behind the coordination of little inexhaustible dispersed age (DG) units and the change of existing energy. Changes frameworks into a rebuilt framework. Enhancing the specialized favorable circumstances offered by DG position is a known test to Distribution Network Operators (DNOs) for both fossil and sustainable power source based DGs, yet DG inexhaustible frameworks additionally have an assortment of energy quality (PQ) challenges. This article gives an exhaustive examination of energy quality difficulties with the momentum research case for GM regenerative frameworks network incorporation and related relief innovations. To start with, this article hypothetically underscores indicating all the significant energy quality difficulties related with matrix joining for sustainable power source, and second, an exhaustive investigation of all PQI advancements acquainted with date is definite, featuring future examination openings. Moreover, all significant energy quality issues and the effect of high infiltration of sustainable power source and relief advancements on energy quality were represented by recreating a lattice put together DG framework based with respect to PV in MATLAB/Simulink. This article is accepted to be extremely useful for scholastics just as industry experts to comprehend the ebb and flow PQ challenges, PQI advances, and future examination headings for sustainable power source advances. © 2020 IEEE.Öğe Design of health care monitoring system based on internet of thing (IOT)(Institute of Electrical and Electronics Engineers Inc., 2020) Abdulameer, Taisir Hasan; Ibrahim, Abdullahi Abdu; Mohammed, Alaa HamidThe Internet has made this place a worldwide city and web of things (IoT) by allowing the range of captors and keen items to collect and process data for various use. In weakening the physical structures of the digital shrewd (IoT) shrewd items become a definitive building. The IoT has a variety of applications, including social security. Different restore and post-operative information should be screened. The human services correspondence using the Web of Things (IoT) technique is adjusted to achieve the therapeutic parameters in the nearby and remote zones. In this paper, we use the remote health care system using advanced information technology and new communications developments and remote physiological measuring technology. The remote benefit services framework provides for the 'free welfare authorities' and 'remote long-term human services administrations' through an entire 'remote social insurance data stage' work instrument by way of coordinated terminal programming and improved social insurance modules. This would encourage the real-time activities of elderly citizens and monitor the healthcare system. The information gathered from various sensors is stored on a local server that connects people, physicians and practitioners to the right information at the time of an emergency. In this way, the framework could increase availability, productivity and reduce well-being costs in order to increase peace of mind and safety. I hope the design and implementation of this system will improve elderly health monitoring in future. © 2020 IEEE.Öğe Effects of clem cloud based e-learning management system for teaching a review(Institute of Electrical and Electronics Engineers Inc., 2020) Raheem, Saeed Ahmed; Mohammed, Alaa Hamid; Namaa, Hayder Makkee; Taha, Mohammed Yousif; Ibrahim, Abdullahi AbduTo address contemporary difficulties, global designers must be prepared in cutting edge learning conditions, aptitudes and expert information. Upheld by the United States Agency for International Development (USAID), the Build-IT program (Building University Learning, Industry, and Development through Innovation and Technology) expands on the wide capacities of the executing accomplice from ASU and assumes a key function as a pioneer chief. In gathering characters from different fields. An all around prepared designer can add to the economical advancement of a general public. So as to make a network focused training, an incorporated technique has been proposed in which an issue based learning strategy is investigated to apply specialized information. In accordance with this methodology, in the way we are proposing, mechatronics designing understudies originally needed to work with different understudies in the fields of hardware, programming, control mechanization, and mechanics, and afterward planned an open, interdisciplinary, incorporated educational program. By working together with peers in building up this hardware, understudies are better outfitted with explicit information. This cycle additionally causes understudies to feel certain about applying their imaginative thoughts while protecting the essential significance of the apparatus. A significant advantage of this methodology is that helping understudies defeat their issues all the while upgrades the specialist's activity in the public arena, in spite of losing a portion of the particular range of abilities. The current methodology, in view of exact investigations utilizing this open structure, shows that understudies in our program have adequate abilities to add to social accomplishments. At long last, the useful, ease, and instructive visual device made by the members shows the estimation of this multidisciplinary approach. © 2020 IEEE.Öğe Energy efficiency in 5G massive MIMO for mobile wireless network(Institute of Electrical and Electronics Engineers Inc., 2020) Ahmed, Ali Hameed; Al-Heety, Ahmed Thair; Al-Khateeb, Belal; Mohammed, Alaa HamidDue to the evaluation of mobile devices and applications in the current decade, a new direction for wireless networks has emerged. The general consensus about the future 5G network is that the following should be taken into account; the purpose of thousand-fold system capacity, hundredfold energy efficiency, lower latency, and smooth connectivity. The massive multiple-input multiple-output (MIMO). This article focuses in simulating an area covered by random deployment of small cells to serve hundreds of users in the simulation area. The results show that the (Energy efficiency) the energy efficiency maximizing operation point might be very spectrally inefficient, and the efficient energy can be greatly improved by increasing the base station density, meaning that small cells are a promising solution for maximal energy efficiency deployment. © 2020 IEEE.Öğe Estimation of direction of arrival for antenna array based on ESPRIT and multiple signal classification algorithms(Institute of Electrical and Electronics Engineers Inc., 2022) Khudhair, Sabah Salam; Khleaf, Hussain Kareem; Mohammed, Alaa HamidAntenna array plays a great role in many fields such as direction finding, radar, and mobile communication. The manipulation of signals induced by antenna elements using Direction of Arrival (DOA) estimation techniques will provide accurate location information of the radiating sources. Many methods were used to estimate DOA; however, we chose the best for high angular resolution subspace such as Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rational Invariance Techniques (ESPRIT) algorithms. Both algorithms have been developed and their DOA estimation performance numerically evaluated using MATLAB with array parameters including the number of snapshots, Signal-to-Noise ratio (SNR), number of array elements, and array element spacing have also been evaluated and compared. The simulation compares the performance between both algorithms at DOAs of 20° and 60°. The result shows that the MUSIC algorithm obtained better estimation accuracy at both DOAs compared to the ESPRIT algorithm by 12.78 dB and 7.78 dB respectively using 100 array elements.Öğe High-frequency waves of the fifth generation and their effects on the head and their consequences for new perspectives(Institute of Electrical and Electronics Engineers Inc., 2023) Al-Sabti, Saif Mohamed Baraa; Mohammed, Alaa Hamid; Mustafa, Ali; Saadi, Abdulrahman Maadh; Abdulateef, Aqeel Nafea; Atilla, Doğu ÇağdasThis research focuses on the efficacy of electromagnetic field RF at high frequency 27.74 GHz on the human head, which includes modelling 5G communication networks to compute the SAR value via the head human layers' tissues and which layers the SAR is attained. Locating the source of the reflected power or electromagnetic signal. Most of the available power from the source is reflected under these conditions. The head serves as a parasitic element, and as a result, the reflected light has a radiation pattern that is 180 degrees out of phase with the original light. In the long run, it leads to being able to steer the reflected pattern. The radiation pattern of reflected power becomes similar to the head geometry. From this point on, estimating power density on the scalp will be less of a hassle. Energy may be collected by harvesting from two sources: reflected energy and sustainable energy.Öğe Human identification with finger vien image using deep learning(IEEE, 2021) Jasim, Zinah Khalid Jasim; Mohammed, Alaa Hamid; Elwiya, Lina; Al-Jabbari, Baraa Dhafer; Alhaji, HaithamThe technical term for body measurements and estimates is called biometrics. It refers to metrics related to human characteristics. Biometrics classification is using in computer science as a form of identification and access control. Classification is one of the pattern recognition methods that consist of grouping similar data into classes. Automated personal identification using vascular biometrics. The Convolutional Neural Network (CNN) has demonstrated its remarkable ability to learn biometric traits that can provide a robust and accurate match. This thesis aims to develop a robust finger-vein identification system using CNN. Since finger vein lies under the human body, so they need Near Infrared (NIR) light and camera for acquiring, the finger-vein require spectrum light with the camera to capture. The capture images need to pass through several stages, including reprocessing, pattern extraction, and matching, to decide to get an individual ID. This research proposes an efficient deep learning model to build a robust finger vein identification system. After images preprocessing and vein pattern extraction, feature extraction and matching are performed by the proposed CNN model, which has one input layer and more than one hidden layer and one output layer. The first hidden layer is known as the convolution layer its plays the role of feature extraction and produces features map, followed by the pooling layer, which acts as a filter to remove unwilling features, and batch Normalization layer to speed up the training process. The system presented 99.78 % accuracy which is remarkable when compared with several researches.Öğe Hybrid method using EDMS gabor for shape and texture(Institute of Electrical and Electronics Engineers Inc., 2020) Sahib, Zubaidah Ali; Uçan, Osman Nuri; Talab, Mohammed A.; Alnaseeri, Mohanaad T; Mohammed, Alaa Hamid; Sahib, Haneen AliThe shape is essential to image formats where the textual image is the best example of the binary image representation. Feature extraction is a fundamental process in pattern recognition. the shape and texture recognition system consists of five major tasks which are involved pre-processing, segmentation, feature extraction, classification and recognition. GENERALLY, less discriminative features in global and local feature approach leads to reduce in recognition rate. By proposing a global and local approach that produces more discriminative features and less dimensionality of data, these problems are overcome. Two feature extraction methods are studied namely Gabor filter and edge direction matrix (EDMS) and combination of two popular feature extraction methods is proposed The proposed method is a combination of Gabor filter and EDMS method which applied to reduce the dimensionality of data. this collaboration aims to make use of the major advantages each one presents, by simultaneously complementing each other, in order to elevate their weak points. By using classifier approaches such as random forest, the proposed combinative descriptor is compared with the state of the art combinative methods based on Gray-Level Co-occurrence matrix and moment invariant on two benchmark dataset MPEG-7 CE-Shape-1, Enghlishfnt. The experiments have shown the superiority of the introduced descriptor over the GLCM moment invariants from the literature. © 2020 IEEE.Öğe Image super-resolution using sparse representation and novelty noise removal super-resolution(Institute of Electrical and Electronics Engineers Inc., 2020) Ahmed, Saab Hazim; Kurnaz, Sefer; Mohammed, Alaa HamidThe reconstruction of a composite image with a super-resolution will produce a high-resolution image from a low-resolution picture. Since the super-resolution problem is not well answered, a narrow method of optimizing numeric algorithm is implemented to remove image noise. The total variation of the image is minimized subject to noise statistical constraints. The restrictions are imposed on the use of Lagrange multipliers. The solution is derived from the gradient projection method. It is the solution of a partial differential equation based on time based on several constraints described. As t - ?0o, the solution converges into a continuous image. It is a fast, relatively easy numerical algorithm. The measurements are typically state of the art with very noisy videos. The process is non-invasive, which gives straight boundaries to the picture. A first step to the transfer can be translated. level range of the normal image at a pace equivalent to the level curvature separate from the magnitude of the feature gradient, and a second stage for the return to the boundary point of the picture. © 2020 IEEE.Öğe Implementation a various types of machine learning approaches for biomedical datasets based on sickle cell disorder(Institute of Electrical and Electronics Engineers Inc., 2020) Dheyab, Hamid Falah; Uçan, Osman Nuri; Khalaf, Mohammed; Mohammed, Alaa HamidThis paper presents implementation a various kinds of machine learning models to classify the dataset of sickle cell patients. Artificial intelligence techniques have served to strengthen the medical field in solving its problems and providing rapid technical methods with high efficiency instead of traditional methods that can be subject to many problems in diagnosis and to determine the appropriate treatment. The main objective of this study to obtain a highly qualified classifier capable of determining the suitable dose of the SCD patients from 9 classes. Through examining the techniques used in our experiment based on performance evaluation metrics and making sure that each model performs. We applied numerous models of machine learning classifiers to examine the sickle cell dataset based on the performance evaluation metrics. The outcomes obtained from all classifiers, show that the Naïve Bayes Classifier obtained poor results compared to other classifiers. While Levenberg-Marquardt Neural Network during the training phase obtained the highest performance and accuracy of 0.935222, AUC 0.963889. The test phase obtained an accuracy of 0.846444, AUC 0.871889. © 2020 IEEE.Öğe Internet of things and cloud computing - A review(Institute of Electrical and Electronics Engineers Inc., 2020) Taha, Mohammed Yousif; Kurnaz, Sefer; Ibrahim, Abdullahi Abdu; Mohammed, Alaa Hamid; Raheem, Saeed Ahmed; Namaa, Hayder MakkeeDigital networking has been a popular platform for Modern Socio-Physical Networks (CPSS) and the Internet of Things (IoT). However, the issue of how to maintain data transfer and storage protection at CPSS is a big concern that needs to be tackled. During the CPSS transport and storage process we must protect the security and privacy of user data and user identity. To deter users of IoT devices from leaking personal information during data analysis and the transition process, we present a thorough overview of the subject Computational Diffie-Hellman (CDH). © 2020 IEEE.Öğe IoT ddos attack detection using machinelearning(Institute of Electrical and Electronics Engineers Inc., 2020) Aysa, Mahdi Hassan; Ibrahim, Abdullahi Abdu; Mohammed, Alaa HamidThe distribution strategy of a botnet mainly directs its configuration, installing a support of bots for coming exploitation. In this article, we utilize the sources of pandemic modeling to IoT networks consisting of WSNs. We build a proposed framework to detect and abnormal defense activities. According to the impact of IoT-specific features like insufficient processing power, power limitations, and node density on the formation of a botnet, there are significant challenges. We use standard datasets for active two famous attacks, such as Mirai. We also used many machine learning and data mining algorithms such as LSVM, Neural Network, and Decision tree to detect abnormal activities such as DDOS features. In the experimental results, we found that the merge between random forest and decision tree achieved high accuracy to detect attacks. © 2020 IEEE.Öğe Mixture of optical quadrature-phase shift keying and continuous-phase frequency shift keying advanced methods for monitoring optical performance in future photonic networks(Institute of Electrical and Electronics Engineers Inc., 2023) Hadeethi, Duraid Khairi Yahya Al; Uçan, Osman Nuri; Mohammed, Alaa HamidThis research shows that hybrid fibre systems that transmit data using both CPFSK and OQPSK (optical quadrature-phase-shift-keying) modulation techniques function well. It examines how the maximum Q factor and the minimum bit error rate vary with modulation frequency and fibre length using the proposed hybrid modulation transmission techniques. Fibre length variations at a constant modulation frequency of 300 GHz also simulate variations in optical power and received electrical power. It uses hybrid modulation techniques for CPFSK/OQPSK with 35 bits per symbol and a modulation frequency of 301 GHz to achieve varying maximum Q Factor, minimum BER, maximum signal power, and minimum noise power throughout a 35 km fibre length.
