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1st International Conference on computer science and Emerging Technologies, CSET 2023

作者： Zawaideh, Firas H. Abu-Ulbeh, Waheeb Mjlae, Salameh A. El-Ebiary, Yousef A. Baker Al Moaiad, Yazeed Das, Sunanda Irbid National University Faculty of Science and Informaiton Technology Department of Cyber Security Irbid Jordan Al-Istiqlal University Faculty of Administrative Sciences and Informatics Cybersecurity Department Palestine Palestine Prince Abdullah Bin Ghazi Faculty of Information Technology Cs Department Jordan UniSZA Faculty of Informatics and Computing Malaysia Mediu Faculty of Computer and Information Technology Malaysia School of Computer Science and Engineering Jain University Bangalore India

ISBN: (纸本)9798350341737

The rapid growth of electronic commerce (e-commerce) has revolutionized the way Small and Medium-sized Enterprises (SMEs) conduct business, enabling them to reach global markets and unlock new growth opportunities. However, this digital transformation has also exposed SMEs to an escalating array of cybersecurity threats that could compromise their data, financial integrity, and reputation. Blockchain technology, known for its decentralized and immutable nature, has emerged as a potential solution to enhance the security and resilience of e-commerce operations for SMEs. This research paper aims to investigate the current state of cybersecurity preparedness among SMEs engaged in e-commerce and identify the prevalent threats they face in the digital landscape. To achieve this goal, the study incorporates systematic literature review (SLR) method to examine the best technological solution to address the cybersecurity issues faced by e-commerce organizations in this paper of SMEs operating in e-commerce to gather data on their security practices, incident history, and perceptions of cybersecurity risks. In the context of this research, blockchain technology will be explored as a potential mechanism to enhance the security of e-commerce operations for SMEs. The inherent features of blockchain, such as decentralization, transparency, and immutability, could help protect sensitive data and thwart cyberattacks. By exploring the integration of blockchain into e-commerce systems, the research aims to shed light on the potential benefits and challenges associated with its adoption by SMEs. The research findings will not only shed light on the prevailing cybersecurity practices within SMEs and highlight their vulnerabilities but will also explore how blockchain technology can be leveraged to address these challenges. By understanding these patterns and exploring the feasibility of blockchain integration, the research aims to provide comprehensive recommendations for enhancing cy

关键词： Cybersecurity

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Predictability performance enhancement for suspended sediment in rivers: Inspection of newly developed hybrid adaptive neuro-fuzzy system model

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International Journal of Sediment Research 2022年第3期37卷 383-398页

作者： Rana Muhammad Adnan Zaher Mundher Yaseen Salim Heddam Shamsuddin Shahid Aboalghasem Sadeghi-Niaraki Ozgur Kisi State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Department of Urban Planning Engineering Networks and Systems Institute of Architecture and Construction South Ural State University New Era and Development in Civil Engineering Research Group Scientific Research Center Al-Ayen University Faculty of Science Agronomy Department Hydraulics Division University School of Civil Engineering Faculty of Engineering Universiti Teknologi Malaysia (UTM) Geoinformation Tech.Center of Excellence Faculty of Geomatics Engineering K.N.Toosi University of Technology Department of Computer Science and Engineering Sejong University Civil Engineering Department Ilia State University

Reliable modeling of river sediments transport is important as it is a defining factor of the economic viability of dams, the durability of hydroelectric-equipment, river susceptibility to pollution, suitability for navigation, and potential for aesthetics and fish habitat. The capability of a new machine learning model, fuzzy c-means based neuro-fuzzy system calibrated using the hybrid particle swarm optimization-gravitational search algorithm（ANFIS-FCM-PSOGSA） in improving the estimation accuracy of river suspended sediment loads（SSLs） is investigated in the current study. The outcomes of the proposed method were compared with those obtained using the fuzzy c-means based neuro-fuzzy system calibrated using particle swarm optimization（ANFIS-FCM-PSO）, ANFIS-FCM, and sediment rating curve（SRC） models. Various input combinations involving lagged river flow（Q） and suspended sediment（S） values were used for model development. The effect of Q and S on the model's accuracy also was assessed by including the difference between lagged Q and S values as inputs. The model performance was assessed using the root mean square error（RMSE）, mean absolute error（MAE）, Nash-Sutcliffe Efficiency（NSE）, and coefficient of determination（R2） and several graphical comparison methods. The results showed that the proposed model enhanced the prediction performance of the ANFIS-FCM-PSO（or ANFIS-FCM） models by 8.14%（1.72%）, 14.7%（5.71%）, 12.5%（2.27%）, and 25.6%（1.86%）,in terms of the RMSE, MAE, NSE and R2, respectively. The current study established the potential of the proposed ANFIS-FCM-PSOGSA model for simulation of the cumulative sediment load. The modeling results revealed the potential effects of the river flow lags on the sediment transport quantification.

关键词： Suspended sediment load Adaptive neuro-fuzzy system Particle swarm optimization Gravitational search algorithm

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Comparative Study of the Resolution of Ge-on-Si Photodetectors for 1μ m Infrared Signals 1

Comparative Study of the Resolution of Ge-on-Si Photodetecto...

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1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022

作者： Jahangiri, Mojtaba Sberna, Paolo Sammak, Amir Nihtianov, Stoyan Mathematics and Computer Science Delft University of Technology Faculty of Electrical Engineering Department of Microelectronics Delft Netherlands Delft Netherlands

ISBN: (纸本)9798350398069

Most of the studies on narrow-band near-infrared detection reported so far are related to the 1.3μm and 1.55μm spectral windows. There is insufficient research work done on radiation detection in the narrow band around 1 μm wavelength, which is just outside the Si (0.95μ m) and GaAs (0.85μ m) effective cut-off spectral sensitivity. This paper presents a p+n Ge-on-Si detector with a customized large active window, employing the PureGaB technology, to detect radiation in a very narrow band around 1μ m. The advantages of the proposed detector are: (1) CMOS-compatibility and micro-spectroscopic capability;(2) low dark current and high photoresponsivity, compared to similar devices reported in the literature;(3) enhanced sensitivity to weak radiation by realizing an ultra-shallow and very thin depletion region. These detectors can be good candidates for measuring the YAG laser radiation and measuring stray radiation in photolithography. © 2022 IEEE.

关键词： III-V semiconductors

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Strategies for the Creation and Implementation of Business Intelligence Frameworks

Strategies for the Creation and Implementation of Business I...

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2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023

作者： Hassan, Ahmed R. Ahmed, Ibrahem Ghali, Fatima Mohsin, Sarah Kadhim Majed, Safa Jawad, Israa Abed National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Medical Instruments Engineering Techniques Al-farahidi University Baghdad Iraq Information and Communication Technology Research Group Scientific Research Center Al-Ayen University Thi-Qar Iraq Computer Technologies Engineering Al-Turath University College Baghdad Iraq Al-Kunooze University College Technical Computer Engineering Department Basrah Iraq Computer Engineering Techniques Al-Nisour University College Baghdad Iraq

ISBN: (纸本)9798350303452

Organizations in the modern era are under increasing pressure from the socioeconomic environment to seek out various technological methods/tools that might encourage the efficient collection, processing, and evaluation of massive volumes of data from disparate and scattered sources to provide guidelines for exploring actual ideas. Thus, this study focuses on how firms use modern instruments in their BI system development processes. This article also suggests the machine intelligence-based demand forecasting system (MI-DFS) for smarter choices in the digital sphere. This method uses big data analytics and a machine learning algorithm to predict the future demand for a product or service. This system gauges the level of acceptability of business intelligence by administering organized questionnaires and interviews with customers and service providers. Using properly classified test data, the results of many experiments show the effect of various forms of machine intelligence. Several learning algorithms were compared to the MI-DFS in terms of efficiency. Recurrent Neural Networks (RNNs) are a supervised learning technique for one-dimensional time series used for demand forecasting. The RNN model achieves the highest F1-measure and prediction accuracy. The proposed model will need to incorporate the financial decision assistance system. © 2023 IEEE.

关键词： Data Analytics

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Business Intelligence systems (BIS) focused on the principle of global quality improvement through data mining

Business Intelligence systems (BIS) focused on the principle...

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2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023

作者： Alwan, Adil Abbas Hussian, Ahmed Ghali, Fatima Salman, Hayder Mahmood Ahmed, Ibrahem Jawad, Israa Abed National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Medical Instruments Engineering Techniques Al-farahidi University Baghdad Iraq Information and Communication Technology Research Group Scientific Research Center Al-Ayen University Thi-Qar Iraq Computer Technologies Engineering Al-Turath University College Baghdad Iraq Al-Kunooze University College Technical Computer Engineering Department Basrah Iraq Computer Engineering Techniques Al-Nisour University College Baghdad Iraq

ISBN: (纸本)9798350303452

The new field of market analysis has started to create empirical investigations founded on Business Intelligence System (BIS) technology, which has garnered much interest from academics and industry professionals. However, the influence that BIS has on the general enhancement of quality and the statistical importance of this effect has not yet been investigated. As a result, in this work, the Global Quality Improvement (GQI) model has been offered as a solution to cope with the gap concentrated on an interconnected quality assurance concept of data mining on information technology and the concept of data management. A survey of executives from all over the world is being used to collect data from various firms. When implementing the BI, GQI uses the planning and assessment activities with a higher success rate. GQI efficiency, planning, and assessment are intricately related to the advancement of technology worldwide, and it is also intertwined with the efficiency of high-quality preparation with various company operations. According to the study's findings, GQI is related to the knowledge requirements of firm organizations, which might range from widespread complexity to management actions centered on misunderstanding. According to the experiment's findings, GQI appears to have the greatest efficacy compared to currently used approaches. © 2023 IEEE.

关键词： Data mining

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Collision Free Energy Efficient Multipath UAV-2-GV Communication in VANET Routing Protocol 11th

Collision Free Energy Efficient Multipath UAV-2-GV Communica...

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11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023

作者： Alkhafaji, Mohamed Ayad Abdulsattar, Nejood Faisal Mutar, Mohammed Hasan Alkhayyat, Ahmed H. Al-Azzawi, Waleed Khalid Abbas, Fatima Hashim Guneser, Muhammet Tahir Department of Medical Device Industry Engineering College of Engineering Technology National University of Science and Technology Dhi Qar Iraq Department of Computer Technical Engineering College of Information Technology Imam Ja’afar Al-Sadiq University Al-Muthanna66002 Iraq College of Technical Engineering The Islamic University Najaf Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi University Baghdad Iraq Medical Laboratories Techniques Department Al-Mustaqbal University College Babil Hillah51001 Iraq Department of Electrical Electronic Engineering College of Engineering Karabuk University Karabuk Turkey

ISBN: (纸本)9789819967018

Vehicular Ad-Hoc Networks (VANETs) are extensively utilized in Intelligent Transportation Systems (ITS) for their various communication modes, including vehicle-to-vehicle and vehicle-to-infrastructure. VANETs are equipped with certain special characteristics such as dynamic mobility, high-speed vehicles, and so on. Both the transmission models are ineffective when it is applied to the high-speed vehicles. During transmission vehicles will transfer the information to the road side unit (RSU), but RSU deployment is the most challenging task. Due to improper deployment of RSU, deployment cost of the network gets increased, end-to-end delay get increased as well as it directly reduced the performance of packet delivery ratio and throughput calculation of the network. In order to overcome these drawbacks, Unmanned Aerial Vehicles (UAVs) are introduced in VANETs. In this paper, Collision Free Energy Efficient Multipath UAV-2-GV communication (CEM-UAVs) is proposed to improve the stability of the VANETs. This CEM-UAVs protocol is segmented into two parts;they are collision free path selection and energy efficient multipath UAV communication. Using UAVs-based data, transmission greatly reduces the delay and loss produced by the ground level traffic and congestion in the network. To analysis the performance of the proposed CEM-UAVs protocol, NS2 software is used. Four parameters are calculated to investigate the performance of the proposed CEM-UAVs protocol;they are end-to-end delay, packet delivery ratio, and number of UAVs count and throughput as well as it is compared with the earlier research works such as NC-UAVs and DP-UAVs. From the results it is proven that the proposed CEM-UAVs protocol produced 160–260 ms lower end-to-end delay, 8–10% higher packet delivery ratio, 100UAVs to 280UAVs lower UAVs count, and 1200–2000 Kbps higher throughput when compared with the earlier works NC-UAVs and DP-UAVs. © 2023, The Author(s), under exclusive license to Springer Nature Singa

关键词： Vehicular ad hoc networks

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Bayesian Network Structure Discovery Using Antlion Optimization Algorithm.

International Journal of Systematic Innovation

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International Journal of Systematic Innovation 2022年第1期7卷 46-65页

作者： Awla, Hoshang Qasim Kareem, Shahab Wahhab Mohammed, Amin Salih Computer science department Faculty of Science Soran University Erbil Iraq Dep. of Technical Information Systems Engineering Erbil Technical Engineering College Erbil Poly-technic University Erbil Iraq Department of Information Technology College of Engineering and Computer Science Lebanese French University Kurdistan Region Erbil Iraq

Bayesian networks have recently been used for discovering an optimal learning structure in machine learning. Bayes networks can describe possible dependencies of explanatory variables. As a novel approach to studying the structure of a Bayesian network, the authors present the Antlion Optimization Algorithm (ALO). In the algorithm;deletion, rewind, insertion, and change are utilized to produce ALO to reach the best hull solution. Essentially, the technique used in the ALO algorithm imitates the antlions’ behaviors while hunting. The suggested approach is contrasted with simulated Annealing, Simulated Annealing Hybrid Bee, Greedy Search Hybrid Bee, optimization inspired by Pigeon, and greedy search using the BDe Score function. The researchers also studied the representation of the confusion matrix of these techniques using different reference data sets. The findings of the assessments reveal that the proposed algorithm works better than the other algorithms and has better consistency and score values. As shown by the experimental evaluations, the proposed method has a more reliable performance than other algorithms (including the production of excellent scores and accuracy values). © 2022. All Rights Reserved.

关键词： Antlion Optimization Bayesian Network Hunting Search Local & Global Search Metaheuristics Search and Score Structure Learning

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Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1262-1272页

作者： Mingming Ha Ding Wang Derong Liu School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China Faculty of Information Technology the Beijing Key Laboratory of Computational Intelligence and Intelligent Systemthe Beijing Laboratory of Smart Environmental Protectionand the Beijing Institute of Artificial IntelligenceBeijing University of TechnologyBeijing 100124China Department of Electrical and Computer Engineering University of Illinois at ChicagoChicago IL 60607 USA IEEE

The core task of tracking control is to make the controlled plant track a desired *** traditional performance index used in previous studies cannot eliminate completely the tracking error as the number of time steps *** this paper,a new cost function is introduced to develop the value-iteration-based adaptive critic framework to solve the tracking control *** the regulator problem,the iterative value function of tracking control problem cannot be regarded as a Lyapunov function.A novel stability analysis method is developed to guarantee that the tracking error converges to *** discounted iterative scheme under the new cost function for the special case of linear systems is ***,the tracking performance of the present scheme is demonstrated by numerical results and compared with those of the traditional approaches.

关键词： Adaptive critic design adaptive dynamic programming(ADP) approximate dynamic programming discrete-time nonlinear systems reinforcement learning stability analysis tracking control value iteration(VI)

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Deep Learning-Assisted Physical Education and Resource Allocation Management in Higher Education

Deep Learning-Assisted Physical Education and Resource Alloc...

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2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023

作者： Jaffer, Zain Shnawa, Ammar H. Ali, Aqeel Ghali, Fatima Zaydan, Nabaa Rabea Wasmi Al-Tameemi, Ahmed Raed Al-Kunooze University College Technical Computer Engineering Department Basrah Iraq National University of Science and Technology Department of Medical Devices Engineering Technologies Dhi Qar Nasiriyah Iraq Al-farahidi University Medical Instruments Engineering Techniques Baghdad Iraq Al-Ayen University Information and Communication Technology Research Group Scientific Research Center Thi-Qar Iraq Al-Turath University College Computer Technologies Engineering Baghdad Iraq Al-Nisour University College Computer Engineering Techniques Baghdad Iraq

ISBN: (纸本)9798350303452

One of the most important disciplines for advancing human health is physical education (PE). There are a lot of obstacles in the way of enhancing societal, physical performance. Students able to manage their time well may expedite their healthy physical activity. Additionally, the correlation between sports and exercise is investigated. Significant challenges must be overcome to create a physical, educational environment that emphasizes ecology's defining features and provides personalized assistance. This paper suggested the detection system of higher physical education resources based on deep learning and collaboration filtering algorithms (DSHPE-DLCFA) to meet the needs of both the learner and their education facility. Specific research and student responses confirm its reliability as a resource for designing physical education frameworks. The data recommendation model comprises a collaborative filtering algorithm and a resource feedback matrix. Highly accurate and efficient curriculum material recommendations were made using a deep learning algorithm to integrate new techniques in physical education networks. The experiment's results show efficiency in providing physical education facilities compared to traditional methods. © 2023 IEEE.

关键词： Deep learning

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Application of Wearable Sensors in Physical education for biomedical surveillance and human-machine interface

Application of Wearable Sensors in Physical education for bi...

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2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023

作者： Alsalhy, Mohammed Jameel Ahmed, Ibrahem Hussien, Naseer Ali Hussain, Angham Khalid Hussian, Ahmed Al-Shaikhli, Taha Raad National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Medical Instruments Engineering Techniques Al-farahidi University Baghdad Iraq Information and Communication Technology Research Group Scientific Research Center Al-Ayen University Thi-Qar Iraq Computer Technologies Engineering Al-Turath University College Baghdad Iraq Al-Kunooze University College Technical Computer Engineering Department Basrah Iraq Computer Engineering Techniques Al-Nisour University College Baghdad Iraq

ISBN: (纸本)9798350303452

Continuous biological surveillance requires less mechanical aid and affordable wearable technology and sensors. The health industry benefits greatly from the rapid development and expansion of the Internet of Things (IoT). Measuring the accuracy of physical education systems is a major difficulty for fitness and sports trackers, as human dependability is a primary concern for these technologies. This study supports the use of a portable sensor device for monitoring activities in athletes' training. The proposed method is achieved with the help of monitoring physical education using a wearable sensor device(MPE-Wsd)to track their health. With the Service Level Agreement (SLA) method, processing power requirements are estimated with the help of a server. The article opened with a unique and compelling model for health. The article offers a portable sensor for use at the human-machine interface. It's convenient for both the participants and the doctor to have access to the various sources of information. With this new field of study, policymakers may make the most efficient use of hardware and software designed for the Internet of Things. Provides the network with instantaneous access to large-scale resources while reducing operational and capital expenditures. Many mental and physiological diseases are rising as the global population ages because point-of-care (POC) treatment and continuous disease monitoring are important. The results of the tests validate the technique as being both convenient and economical to employ regularly. © 2023 IEEE.

关键词： Internet of things

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