Article
Construction & Building Technology
Bilal Naji Alhasnawi, H. Basil Jasim, E. Bishoy Sedhom, M. Josep Guerrero
Summary: The study proposes an optimal demand management scheme for multi-agent smart microgrids using a consensus algorithm-based coalition game theory to address energy cost increase and power mismatching issues. The consensus algorithm facilitates information exchange and collaboration among neighbors, while energy allocation based on Shapley value enables unequal power distribution according to demand. Furthermore, computational and storage tasks are moved to the Fog layer to handle extensive data, proving the effectiveness of the proposed method through simulations and sensitivity analysis.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Automation & Control Systems
Erfan Farhangi Maleki, Dixit Bhatta, Lena Mashayekhy
Summary: This article focuses on the importance of automation of elevator scheduling in reducing energy consumption and improving user experience. An optimal mathematical model and a novel game-theoretic approach are proposed to optimize energy consumption and user experience in the elevator system. Experiments show that this approach is significantly efficient in terms of energy consumption and service time, making it suitable for smart buildings.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Yuping Zhang, Youyang Qu, Longxiang Gao, Tom Hao Luan, Alireza Jolfaei, James Xi Zheng
Summary: This paper proposes a differentially private smart community model with game theory-based personalized privacy protection (GPDP) and a modified reinforcement learning algorithm. The model optimizes the trade-off between personalized privacy protection and data utility, improving data analytics and decision-making performances for energy management in smart cities.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Review
Computer Science, Artificial Intelligence
Hannan Amoozad Mahdiraji, Elham Razghandi, Adel Hatami-Marbini
Summary: This paper discusses the importance of coalitions in resource management and emphasizes the need to focus on overlapping coalitions for optimal resource allocation. The study reviews various models and methods from both macro and micro perspectives. Future research should focus on the challenges and opportunities presented by overlapping coalitions.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Jie-Fu Huang, Geng-Hua Zhang, Sun-Yuan Hsieh
Summary: Smart grids are IoT electricity distribution systems that control energy flows, but data congestion can occur due to excessive messages. This research focuses on energy disaggregation data and proposes an efficient data compression algorithm that outperforms previous algorithms by 2 to 10%.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Computer Science, Information Systems
Imed Ben Dhaou
Summary: The demand response program is a crucial aspect of the smart grid, aiming to reduce peak demand, enhance efficiency, and ensure reliability. By utilizing smart meters and smart plugs, this paper proposes an architecture for a home-energy-management system based on the fog-computing paradigm. The system demonstrates high accuracy in identifying appliances, with the smart meter and smart plug exceeding 97% and 99% accuracy respectively.
Review
Energy & Fuels
Mohamed S. S. Abdalzaher, Mostafa M. M. Fouda, Ahmed Emran, Zubair Md Fadlullah, Mohamed I. I. Ibrahem
Summary: The implementation of smart grid and cyber-physical systems has greatly improved the safety, reliability, and efficiency of energy production and distribution. However, it is important to protect these systems from attack attempts and unauthorized entities. Key-management and authentication mechanisms play a significant role in ensuring the proper operation of smart grids and their smart meters.
Article
Energy & Fuels
Edstan Fernandez, M. J. Hossain, S. M. Nawazish Ali, Vivek Sharma
Summary: This paper proposes a game-theoretic model for community energy management that promotes energy trading among community members. Consumers and vendors are classified within the community, with roles interchangeable based on power consumption profiles. An evolutionary game is used to model consumer dynamics in selecting vendors, with vendors setting competitive prices to attract consumers. The model is tested in a community in Sydney and shows cost savings for consumers and profits for vendors. The results demonstrate the effectiveness of energy trading within a community for financial gains and energy conservation, especially if combined with demand response strategies and storage systems.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Construction & Building Technology
Qianmu Li, Xudong Wang, Pengchuan Wang, Weibin Zhang, Jie Yin
Summary: This article focuses on the security of data sensing in smart IoT and proposes a novel data aggregation scheme called FARDA to protect user privacy and support the sustainable development of a City IoT system. The scheme utilizes AI-based blockchain and fog computing technology and employs an anonymous reward mechanism to attract users and nodes, ensuring privacy and security.
BUILDING AND ENVIRONMENT
(2022)
Article
Engineering, Electrical & Electronic
Subhas Chandra Misra, Ayan Mondal
Summary: This paper discusses the problem of strategic resource management in fog networks under a pay-per-use model, proposing a dynamic pricing-based resource allocation scheme, FogPrime. Through simulation, it was found that FogPrime outperforms existing schemes in terms of satisfying end-users and fog nodes, leading to increased satisfaction levels and profit distribution among fog nodes, as well as reduced costs for end-users.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Theory & Methods
Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Zbigniew Dziong
Summary: This research focuses on the instability issue within fog federations and proposes a decentralized algorithm based on evolutionary game theory to address this problem. By utilizing the Replicator Dynamics model, the algorithm is able to stabilize the federations and improve the Quality-of-Service for the users over time.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Theory & Methods
Kanika Saini, Sheetal Kalra, Sandeep K. Sood
Summary: In this study, an intelligent evacuation system is proposed that integrates IoT, fog layer, and cloud layer to efficiently and accurately guide evacuees to safer locations while significantly reducing direct fire exposure.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Energy & Fuels
Daniele Serra, Daniele Mardero, Luca Di Stefano, Samuele Grillo
Summary: This paper discusses the accessibility of electrical energy consumption data for low voltage end users in smart grids, drawing inspiration from Italy's regulatory and technological approach. It proposes a solution and a classification framework for post-metering value-added services, emphasizing the importance of certification, regulatory support for technological innovation, and customer-oriented solutions for a flourishing market.
Article
Computer Science, Artificial Intelligence
Yu Xiaohui
Summary: This paper introduces a cooperative game with a coalition structure under limited feasible coalitions, and presents two methods for solving the IFCS game - defining Limited Owen value by known values and providing a q-probabilistic value based on distribution matrices of players, with various axioms characterizing these values. Additionally, unknown coalition values are estimated to make Owen value usable, transforming IFCS game into coalition structures cooperative games. Finally, the relationship between the two methods is discussed.
Article
Energy & Fuels
Javad Modarresi
Summary: This paper proposes a new method based on game theory to form microgrid coalitions, which considers both power losses and service charge in the bidding strategy and utility calculation. The method models service charge as a function of exchanged power and transmission distance, and each microgrid offers a different price considering power losses and service charge. The performance of the proposed method is evaluated and compared with the previous method in three multi-microgrid systems, demonstrating its superiority.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Computer Science, Information Systems
Rashid Ali, Ran Liu, Anand Nayyar, Idrees Waris, Linjing Li, Mohd Asif Shah
Summary: Vehicular ad hoc networks (VANETs) are self-organizing, open-structure inter-vehicle communication networks that aim to improve driver response and traffic safety. The 5G NR system enhances V2V communication performance through intelligent driver model-lane change (IDM-LC) and intelligent driver model-avoidance (IDM-A) models. The simulation results show that V2V communication through the 5G system performs better on the IDM models, with widespread coverage in different road scenarios.
Article
Food Science & Technology
Rabia Akram, Haseeb Anwar, Muhammad Shahid Javed, Ali Imran, Azhar Rasul, Shoaib Ahmad Malik, Mobina Manzoor, Fakhar Islam, Ikram Ullah Khan, Faiqa Sajid, Tehreem Iman, Muhammad Ajmal Shah, Tao Sun, Ghulam Hussain, Mohd Asif Shah
Summary: Diabetic peripheral neuropathy is a common complication of diabetes characterized by decreased sensory functions and neuropathic pain. Various pathways are involved in its pathology, and natural product-based therapy may be an effective alternative. Biological molecules can reduce oxidative stress and neuronal apoptosis, improve nerve function, and alleviate hyperalgesia and allodynia.
INTERNATIONAL JOURNAL OF FOOD PROPERTIES
(2023)
Article
Food Science & Technology
Muhammad Safeer Abbas, Muhammad Afzaal, Farhan Saeed, Aasma Asghar, Jianfeng Lu, Aftab Ahmad, Qudrat Ullah, Samreen Elahi, Huda Ateeq, Yasir Abbas Shah, Muhammad Nouman, Mohd Asif Shah
Summary: The demand for probiotic-based functional food is increasing globally. Intestinal dysbiosis in humans is the prime driving force behind this trend. Despite the numerous health potentials of probiotics, their target delivery and stability pose challenges for food manufacturers. Microencapsulation with various coating materials is a trending solution for the target and stable delivery of probiotics. This comprehensive review addresses the opportunities, challenges, and future trends surrounding matrix materials used in probiotic encapsulation, providing insights for selecting efficient delivery materials.
INTERNATIONAL JOURNAL OF FOOD PROPERTIES
(2023)
Article
Multidisciplinary Sciences
Sally R. Osman, Bishoy E. Sedhom, Sahar S. Kaddah
Summary: This paper proposes a novel multi-objective microgrid formation method using a dart game theory optimization algorithm. The formation of the microgrid is achieved by controlling sectionalizing and tie-line switches, and the network graph theory is used to represent the constructed microgrid. Non-linear equations of power flow and loss calculations are adopted in the microgrid formation model. Metrics are utilized to measure the system's flexibility and resilience under extreme disaster events, and the effectiveness of the proposed approach is validated using a modified IEEE 33-bus test system in three case studies considering emergency demand response program and tie-lines.
SCIENTIFIC REPORTS
(2023)
Review
Food Science & Technology
Fakhar Islam, Ali Imran, Farhana Nosheen, Maleeha Fatima, Muhammad Umair Arshad, Muhammad Afzaal, Nosheen Ijaz, Rabia Noreen, Shilpa Mehta, Sunanda Biswas, Izza Faiz Ul Rasool, Muhammad Arslan Aslam, Ifrah Usman, Syeda Mahvish Zahra, Narimane Segueni, Yuosra Amer Ali
Summary: Polyunsaturated fatty acids (PUFAs), including omega-6 and omega-3 fatty acids, play a crucial role in protecting against various diseases and can be obtained from different sources in a balanced diet. This review article focuses on evaluating research papers on the health risks and benefits of omega-6 and omega-3 fatty acid dietary resources. It discusses the types of fatty acids, factors affecting their stability, methods for mitigating oxidative stability, health benefits, and future perspectives in detail.
FOOD SCIENCE & NUTRITION
(2023)
Article
Mathematics
Rabeh Abbassi, Salem Saidi, Abdelkader Abbassi, Houssem Jerbi, Mourad Kchaou, Bilal Naji Alhasnawi
Summary: With the increasing demand for electrical energy and the challenges related to its production, proton exchange membrane fuel cells (PEMFCs) are emerging as a clean energy source that can effectively replace conventional energy sources, especially in transportation. This paper proposes a new Dandelion Optimizer (DO) to accurately determine the parameters of the PEMFC model, addressing the weaknesses of existing metaheuristic algorithms. The DO-based approach has been compared to other techniques and has shown promising achievements and better performances.
Article
Engineering, Multidisciplinary
Ikram Saady, Mohammed Karim, Badre Bossoufi, Najib El Ouanjli, Saad Motahhir, Btissam Majout
Summary: This paper aims to research a photovoltaic solar water pumping system (PVWPS) based on a three-phase induction motor (IM) with high performance, low cost, and without chemical energy storage. The proposed control for the PVWPS consists of two principal controllers which are a robust MPPT control strategy based on the Kalman filter algorithm (KF-MPPT) and a 12-sectors Direct Torque Control (DTC) technique based on a three-level inverter with a neutral point clamped (NPC) structure. The simulated results showed that PVWPS with KF-MPPT and PDTC provide a better performance in terms of reference tracking, response time, torque and flux ripple reduction, current quality, as well as water pumped.
RESULTS IN ENGINEERING
(2023)
Article
Automation & Control Systems
Himanshu Sharma, Harish Kumar, Ashulekha Gupta, Mohd Asif Shah
Summary: Computer vision has been widely applied in the manufacturing context to automate tasks and simulate human capabilities. However, existing research in this field is fragmented, and there is a need for more comprehensive studies to fill this gap. This study uses bibliometric analysis to synthesize extant literature and provide insights for future research.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Sasmita Padhy, Sachikanta Dash, T. N. Shankar, Venubabu Rachapudi, Sandeep Kumar, Anand Nayyar
Summary: Medical image encryption is a crucial concern in healthcare applications, and the current technological architecture is inadequate for secure data transfer. This study introduces a hybrid crypto-compression technique that combines generative adversarial networks and learned compression to address the issue. The proposed system provides trustworthy and long-lasting encryption, and has various multidimensional applications in public health and healthcare.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Naila Arshad, Muhammad Sultan Irshad, M. Sohail Asghar, Muneerah Alomar, Junyang Tao, M. A. K. Yousaf Shah, Xianbao Wang, Jinming Guo, S. Wageh, Omar A. Al-Hartomy, Abul Kalam, Yabin Hao, Zhengbiao Ouyang, Han Zhang
Summary: A self-regenerating hydrogel composed of 2D-MXenes nanosheets embedded in perovskite La Sr-0.6 Co-0.4 Fe-0.2 O-0.8(3-)& delta; (LSCF)/polyvinyl alcohol hydrogels has been developed for efficient solar-driven evaporation and seawater desalination. The composite hydrogel exhibits excellent evaporation rates and broadband solar absorption, and can dilute concentrated brines without impeding the evaporation rate or salt accumulation.
Article
Computer Science, Information Systems
Mohd Fazil, Shakir Khan, Bader M. M. Albahlal, Reemiah Muneer Alotaibi, Tamanna Siddiqui, Mohd Asif Shah
Summary: This study discusses hate speech on online social networks and presents an automatic method to identify hate messages. The proposed model, an attentional multi-channel convolutional-BiLSTM network, uses multiple channels with different filters to capture semantic relations at various windows. The model outperforms five state-of-the-art and baseline models in comparative evaluation, and the ablation study reveals the importance of channels and attention mechanism.
Article
Engineering, Biomedical
L. Godlin Atlas, K. P. Arjun, K. Sampath Kumar, Rajesh Kumar Dhanaraj, Anand Nayyar
Summary: The range of diseases such as diabetes, hypertension, and vascular occlusions is increasing rapidly in modern society, leading to organ damage. Among them, eye diseases have severe impacts on vision, and early detection and treatment are necessary. Existing strategies have some setbacks, so a deep learning framework has been developed in this study to improve the prediction of retinal hemorrhage.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Computer Science, Artificial Intelligence
K. Jyothsna Devi, Priyanka Singh, Muhammad Bilal, Anand Nayyar
Summary: This paper proposes a secure digital image watermarking scheme in the hybrid DWT-SVD domain, which addresses the security concerns in UAV image transmission using an adaptive scaling factor and symmetric cryptographic-based encryption method. Experimental results show that the scheme achieves high security and low computational cost.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Information Systems
Vinod Kumar Menaria, Anand Nayyar, Sandeep Kumar, Ketan Kotecha
Summary: This paper introduces a multi-hop wireless sensor network communication model based on the Internet of Things, applied in scenarios like smart cities, and proposes the use of network coding to improve data transmission efficiency. The research results are validated by comparing them with simulation results.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
