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Osamah Ibrahim Khalaf
Al-Nahrain Nanorenewable Energy Research Center Baghdad, Al-Nahrain University, Baghdad 10001, Iraq

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Journal article
Published: 16 August 2021 in Entropy
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In this study, a novel application of neurocomputing technique is presented for solving nonlinear heat transfer and natural convection porous fin problems arising in almost all areas of engineering and technology, especially in mechanical engineering. The mathematical models of the problems are exploited by the intelligent strength of Euler polynomials based Euler neural networks (ENN’s), optimized with a generalized normal distribution optimization (GNDO) algorithm and Interior point algorithm (IPA). In this scheme, ENN’s based differential equation models are constructed in an unsupervised manner, in which the neurons are trained by GNDO as an effective global search technique and IPA, which enhances the local search convergence. Moreover, a temperature distribution of heat transfer and natural convection porous fin are investigated by using an ENN-GNDO-IPA algorithm under the influence of variations in specific heat, thermal conductivity, internal heat generation, and heat transfer rate, respectively. A large number of executions are performed on the proposed technique for different cases to determine the reliability and effectiveness through various performance indicators including Nash–Sutcliffe efficiency (NSE), error in Nash–Sutcliffe efficiency (ENSE), mean absolute error (MAE), and Thiel’s inequality coefficient (TIC). Extensive graphical and statistical analysis shows the dominance of the proposed algorithm with state-of-the-art algorithms and numerical solver RK-4.

ACS Style

Naveed Ahmad Khan; Osamah Ibrahim Khalaf; Carlos Andrés Tavera Romero; Muhammad Sulaiman; Maharani A. Bakar. Application of Euler Neural Networks with Soft Computing Paradigm to Solve Nonlinear Problems Arising in Heat Transfer. Entropy 2021, 23, 1053 .

AMA Style

Naveed Ahmad Khan, Osamah Ibrahim Khalaf, Carlos Andrés Tavera Romero, Muhammad Sulaiman, Maharani A. Bakar. Application of Euler Neural Networks with Soft Computing Paradigm to Solve Nonlinear Problems Arising in Heat Transfer. Entropy. 2021; 23 (8):1053.

Chicago/Turabian Style

Naveed Ahmad Khan; Osamah Ibrahim Khalaf; Carlos Andrés Tavera Romero; Muhammad Sulaiman; Maharani A. Bakar. 2021. "Application of Euler Neural Networks with Soft Computing Paradigm to Solve Nonlinear Problems Arising in Heat Transfer." Entropy 23, no. 8: 1053.

Journal article
Published: 09 August 2021 in Sustainability
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Conventional crop insurance systems are complex and often not economically feasible. Farmers are often reluctant to be covered for their crops due to lack of trust in insurance firms and the fear of delayed or non-payment of claims. In this paper, a blockchain based crop insurance solution is suggested. The solution suggested in this paper is an affordable, efficient, low cost crop insurance solution which will ensure many farmers are insured and benefiting from timely crop insurance. Currently the cost of administering insurance is an essential barrier to accessing this facility. With the proper use of blockchain based on ethereum this expense can be reduced dramatically. We have conducted various tests on platforms such as Google Cloud and found that the least throughput is 165 transactions. Upon analysis we have found that the time taken by the block formation is directly proportional to the timing of processing. The end-to-end average latency of the system was achieved as 31.2 s, which was quite effective for the infrastructure what we are using. Upon conducting acceptance testing, we found that the system suggested in the paper is effective and we are planning to release the application on open source platforms for future improvements.

ACS Style

Nishant Jha; Deepak Prashar; Osamah Ibrahim Khalaf; Youseef Alotaibi; Abdulmajeed Alsufyani; Saleh Alghamdi. Blockchain Based Crop Insurance: A Decentralized Insurance System for Modernization of Indian Farmers. Sustainability 2021, 13, 8921 .

AMA Style

Nishant Jha, Deepak Prashar, Osamah Ibrahim Khalaf, Youseef Alotaibi, Abdulmajeed Alsufyani, Saleh Alghamdi. Blockchain Based Crop Insurance: A Decentralized Insurance System for Modernization of Indian Farmers. Sustainability. 2021; 13 (16):8921.

Chicago/Turabian Style

Nishant Jha; Deepak Prashar; Osamah Ibrahim Khalaf; Youseef Alotaibi; Abdulmajeed Alsufyani; Saleh Alghamdi. 2021. "Blockchain Based Crop Insurance: A Decentralized Insurance System for Modernization of Indian Farmers." Sustainability 13, no. 16: 8921.

Journal article
Published: 21 July 2021 in Journal of Healthcare Engineering
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This study implements the VLSI architecture for nonlinear-based picture scaling that is minimal in complexity and memory efficient. Image scaling is used to increase or decrease the size of an image in order to map the resolution of different devices, particularly cameras and printers. Larger memory and greater power are also necessary to produce high-resolution photographs. As a result, the goal of this project is to create a memory-efficient low-power image scaling methodology based on the effective weighted median interpolation methodology. Prefiltering is employed in linear interpolation scaling methods to improve the visual quality of the scaled image in noisy environments. By decreasing the blurring effect, the prefilter performs smoothing and sharpening processes to produce high-quality scaled images. Despite the fact that prefiltering requires more processing resources, the suggested solution scales via effective weighted median interpolation, which reduces noise intrinsically. As a result, a low-cost VLSI architecture can be created. The results of simulations reveal that the effective weighted median interpolation outperforms other existing approaches.

ACS Style

Osamah Ibrahim Khalaf; Carlos Andrés Tavera Romero; A. Azhagu Jaisudhan Pazhani; G. Vinuja. VLSI Implementation of a High-Performance Nonlinear Image Scaling Algorithm. Journal of Healthcare Engineering 2021, 2021, 1 .

AMA Style

Osamah Ibrahim Khalaf, Carlos Andrés Tavera Romero, A. Azhagu Jaisudhan Pazhani, G. Vinuja. VLSI Implementation of a High-Performance Nonlinear Image Scaling Algorithm. Journal of Healthcare Engineering. 2021; 2021 ():1.

Chicago/Turabian Style

Osamah Ibrahim Khalaf; Carlos Andrés Tavera Romero; A. Azhagu Jaisudhan Pazhani; G. Vinuja. 2021. "VLSI Implementation of a High-Performance Nonlinear Image Scaling Algorithm." Journal of Healthcare Engineering 2021, no. : 1.

Research article
Published: 24 April 2021 in Computational and Mathematical Methods in Medicine
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In recent times, there has been a significant growth in networks known as the wireless body area networks (WBANs). A WBAN connects distributed nodes throughout the human body, which can be placed on the skin, under the skin, or on clothing and can use the human body’s electromagnetic waves. An approach to reduce the size of different telecommunication equipment is constantly being sought; this allows these devices to be closer to the body or even glued and embedded within the skin without making the user feel uncomfortable or posing as a danger for the user. These networks promise new medical applications; however, these are always based on the freedom of movement and the comfort they offer. Among the advantages of these networks is that they can significantly increase user’s quality of life. For example, a person can carry a WBAN with built-in sensors that calculate the user’s heart rate at any given time and send these data over the internet to user’s doctor. This study provides a systematic review of WBAN, describing the applications and trends that have been developed with this type of network and, in addition, the protocols and standards that must be considered.

ACS Style

Carlos A. Tavera; Jesús H. Ortiz; Osamah I. Khalaf; Diego F. Saavedra; Theyazn H. H. Aldhyani. Wearable Wireless Body Area Networks for Medical Applications. Computational and Mathematical Methods in Medicine 2021, 2021, 1 -9.

AMA Style

Carlos A. Tavera, Jesús H. Ortiz, Osamah I. Khalaf, Diego F. Saavedra, Theyazn H. H. Aldhyani. Wearable Wireless Body Area Networks for Medical Applications. Computational and Mathematical Methods in Medicine. 2021; 2021 ():1-9.

Chicago/Turabian Style

Carlos A. Tavera; Jesús H. Ortiz; Osamah I. Khalaf; Diego F. Saavedra; Theyazn H. H. Aldhyani. 2021. "Wearable Wireless Body Area Networks for Medical Applications." Computational and Mathematical Methods in Medicine 2021, no. : 1-9.

Review
Published: 13 April 2021 in Sustainability
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Recent research has shown that there is a correlation between the circular economy (CE) and Industry 4.0 (I4.0). In addition, other research papers have analyzed the way that CE uses the different I4.0 technologies to transfer from the existing linear economy to CE; however, there are still gaps in the literature regarding the challenges and impacts that society and individuals must face to be ready for the transition from a linear to a circular economy. These challenges seek to guarantee the sustainability and sustainable development of the different business models that mobilize products and services through supply chains. Here, we conducted a review and compilation of the latest bibliography of circular economy and Industry 4.0 theory. The objective of this work is to present the evolutionary relationship between CE and I4.0, as well as its multi-step model of analysis. This research is relevant because its topics are timely and pertinent, especially for academics. Further, at the time that this research was performed, none of the countries were concerned about the impact that technological changes have on the human being and on society, and up to now we do not currently have studies that show how people are being trained to face the transition from the linear economy, which is common in most societies, toward a CE.

ACS Style

Carlos Tavera Romero; Diego Castro; Jesús Ortiz; Osamah Khalaf; Miguel Vargas. Synergy between Circular Economy and Industry 4.0: A Literature Review. Sustainability 2021, 13, 4331 .

AMA Style

Carlos Tavera Romero, Diego Castro, Jesús Ortiz, Osamah Khalaf, Miguel Vargas. Synergy between Circular Economy and Industry 4.0: A Literature Review. Sustainability. 2021; 13 (8):4331.

Chicago/Turabian Style

Carlos Tavera Romero; Diego Castro; Jesús Ortiz; Osamah Khalaf; Miguel Vargas. 2021. "Synergy between Circular Economy and Industry 4.0: A Literature Review." Sustainability 13, no. 8: 4331.

Journal article
Published: 30 December 2020 in Symmetry
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In 5G systems, enhancing the energy efficiency (EE) and spectrum efficiency (SE) is a significant task that is capable of fulfilling the demand of future wireless networks and providing Quality of Service (QoS) provisioning, such as high throughput with low power consumption. In the present work, a look-up table enabled a fuzzy-based approach to investigate the SE and EE issues in 5G networks and obtained an efficient symmetrical trade-off between them to enhance the system’s overall performance. We completed simulations in NS-2.31 software version 2.31, and MATLAB is used to visualize the results. The proposed model achieved maximum values of EE and SE of 0.92 bit/J/Hz with a sensing time τs(LUT) = 20 ms. Furthermore, optimizing the sensing time and the secondary user (SU) transmission power, yielded a maximum EE and provided a QoS provisioned cognitive radio-enabled 5G network.

ACS Style

Osamah Ibrahim Khalaf; Kingsley A. Ogudo; Manwinder Singh. A Fuzzy-Based Optimization Technique for the Energy and Spectrum Efficiencies Trade-Off in Cognitive Radio-Enabled 5G Network. Symmetry 2020, 13, 47 .

AMA Style

Osamah Ibrahim Khalaf, Kingsley A. Ogudo, Manwinder Singh. A Fuzzy-Based Optimization Technique for the Energy and Spectrum Efficiencies Trade-Off in Cognitive Radio-Enabled 5G Network. Symmetry. 2020; 13 (1):47.

Chicago/Turabian Style

Osamah Ibrahim Khalaf; Kingsley A. Ogudo; Manwinder Singh. 2020. "A Fuzzy-Based Optimization Technique for the Energy and Spectrum Efficiencies Trade-Off in Cognitive Radio-Enabled 5G Network." Symmetry 13, no. 1: 47.

Journal article
Published: 24 April 2019 in Symmetry
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With the advancement of new technologies, the number of connected devices, the amount of data generated, and the need to build an intelligently connected network of things to improve and enrich the human ecosystem open new doors to modifications and adaptations of current cellular network infrastructures. While more focus is given to low power wide area (LPWA) applications and devices, a significant challenge is the definition of Internet of Things (IoT) use cases and the value generation of applications on already existing IoT devices. Smartphones and related devices are currently manufactured with a wide range of smart sensors such as accelerometers, video sensors, compasses, gyros, proximity sensors, fingerprint sensors, temperature sensors, and biometric sensors used for various purposes. Many of these sensors can be automatically expanded to monitor a user’s daily activities (e.g., fitness workouts), locations, movements, and real-time body temperatures. Mobile network operators (MNOs) play a substantial role in providing IoT communications platforms, as they manage traffic flow in the network. In this paper, we discuss the global concept of IoT and machine-type communication (MTC), and we conduct device performance analytics based on data traffic collected from a cellular network. The experiment equips service providers with a model and framework to monitor device performance in a network.

ACS Style

Kingsley A. Ogudo; Dahj Muwawa Jean Nestor; Osamah Ibrahim Khalaf; Hamed Daei Kasmaei. A Device Performance and Data Analytics Concept for Smartphones’ IoT Services and Machine-Type Communication in Cellular Networks. Symmetry 2019, 11, 593 .

AMA Style

Kingsley A. Ogudo, Dahj Muwawa Jean Nestor, Osamah Ibrahim Khalaf, Hamed Daei Kasmaei. A Device Performance and Data Analytics Concept for Smartphones’ IoT Services and Machine-Type Communication in Cellular Networks. Symmetry. 2019; 11 (4):593.

Chicago/Turabian Style

Kingsley A. Ogudo; Dahj Muwawa Jean Nestor; Osamah Ibrahim Khalaf; Hamed Daei Kasmaei. 2019. "A Device Performance and Data Analytics Concept for Smartphones’ IoT Services and Machine-Type Communication in Cellular Networks." Symmetry 11, no. 4: 593.