Article
Engineering, Multidisciplinary
Nadine Hasan, Ayaskanta Mishra, Arun Kumar Ray
Summary: This paper proposes a fuzzy logic system-based cross-layer design for MANET to improve network QoS parameters. The results of simulation studies show the improvements of the proposed system in terms of PDR and E2E delay. Compared to IEEE 802.11-based MANET, the use of FLS-CL achieves QoS improvements.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Business
Kea Hartwig, Lewin von Saldern, Frank Jacob
Summary: This article uses a multinational industrial organization as a case study to analyze the transition of a large technology manufacturer from goods-dominant logic to service-dominant logic. The study identifies external factors and internal transformation processes that drive this reconfiguration, providing empirical insights to the discussion on service-dominant logic in marketing.
INDUSTRIAL MARKETING MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Soumya Snigdha Mohapatra, Rakesh Ranjan Kumar, Mamdouh Alenezi, Abu Taha Zamani, Nikhat Parveen
Summary: Due to the proliferation of cloud services, several service providers now offer functionally identical services with different levels of service quality. Offering a cloud assistance arrangement with optimum QoS estimates becomes a complicated task. This study proposes a novel approach using Genetic Algorithms and the Eagle Strategy algorithm to strike a balance between exploration and exploitation, achieving faster QoS-based Cloud Service Selection.
Article
Engineering, Electrical & Electronic
Kapil Aggarwal, P. N. Renjith, P. Udayakumar, K. Thyagarajan, L. Sherly Puspha Annabel, S. Jayachitra
Summary: This study proposes a method that combines fuzzy logic, neural networks, and IWLS to enhance QoS performance in wireless networks. By dynamically modifying system settings and adjusting parameters, the system improves network performance. The addition of ANFIWLS to fuzzy logic provides more precise inference and decision-making capabilities, resulting in a 32.8% increase in QoS. The results of this research contribute to the development of more dependable and efficient QoS management systems for wireless communication networks.
OPTICAL AND QUANTUM ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Deng Zhao, Zhangbing Zhou, Patrick C. K. Hung, Shuiguang Deng, Xiao Xue, Walid Gaaloul
Summary: This article proposes an adaptive composition mechanism leveraging Computation Tree Logic (CTL) specifications to ensure the compatibility of compositions with QoS variations. The composition is formalized as a temporal task, converted to CTL formulae with required functionalities and composite structures, and functional compatibility is interpreted through CTL semantics. A QoS Dependency Graph (QoSDG) is constructed to capture QoS variations, enabling adaptive composition with dynamic QoS satisfactions.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Biochemistry & Molecular Biology
Eva Maire, Nicholas A. J. Graham, M. Aaron MacNeil, Vicky W. Y. Lam, James P. W. Robinson, William W. L. Cheung, Christina C. Hicks
Summary: This study examined the availability and vulnerability of micronutrients in marine fish species in 157 countries using global assessments and fisheries catch data. The analysis showed that micronutrient availability and vulnerability varied greatly at a species level, with tropical species demonstrating greater resilience to climate change and overfishing. The study also found that countries with high prevalence of inadequate micronutrient intake tended to have nutrient-dense fish catches, but these fisheries were highly vulnerable to climate change.
Article
Engineering, Multidisciplinary
Anqi Zhu, Mingfang Ma, Songtao Guo, Yuanyuan Yang
Summary: This paper proposes an innovative access selection mechanism called REMNS to optimize the quality of experience (QoE) of IoT users in 5G heterogeneous networks. REMNS utilizes fuzzy logic for network pre-assessment and combines subjective-oriented Analytic Hierarchy Process (AHP) and objective-oriented Entropy Weight Method (EWM) for preference evaluation to rapidly select networks and improve user QoE using a relative entropy based multi-service access selection algorithm.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Warda M. Shaban, Asmaa H. Rabie, Ahmed I. Saleh, M. A. Abo-Elsoud
Summary: COVID-19, a infectious disease, has shocked the world and the detection of infected people is crucial. A new Hybrid Diagnose Strategy (HDS) has been introduced, which relies on novel techniques and a hybrid classification model to accurately identify infected individuals, outperforming other competitors.
APPLIED SOFT COMPUTING
(2021)
Article
Biology
Vasyl Alba, James E. Carthew, Richard W. Carthew, Madhav Mani
Summary: Organismal development is a complex process characterized by reproducibility and tolerance despite its complexity, implying hidden simplicities. By studying natural phenotypic variation in fruit fly wings, researchers identified a highly constrained set of wing phenotypes that could be described by a single integrated mode. This work demonstrates the presence of constraints that funnel environmental inputs and genetic variation into phenotypes along a single axis in morphological space, providing insights into the robustness of complex forms and potential for evolutionary variations.
Article
Automation & Control Systems
Nan Wang, Fazhan Tao, Zhumu Fu, Shuzhong Song
Summary: This article investigates the problem of adaptive fuzzy control for stochastic high-order nonlinear systems with full-state constraints of the strict-feedback structure. A novel control strategy is proposed to solve this problem effectively.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Information Systems
Mutaz Al-Tarawneh, Amjed Al-Mousa
Summary: This paper presents an adaptive fuzzy-based cloud service brokering algorithm (AFBSB) that selects the most appropriate data center for user cloud service requests based on user preferences in terms of cost and performance. The algorithm achieves significant performance improvement in performance-constrained environments and operates in a user-oriented manner in preference-aware environments.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Cybernetics
Morteza Rahimi, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Mohammad Hossein Moattar, Aso Darwesh
Summary: The paper systematically reviews existing service selection approaches in cloud computing, categorizing them into decision-making methods, meta-heuristic methods, and fuzzy-based methods. The findings suggest that proper weighting of criteria is crucial for service ranking accuracy in decision-making methods. Meta-heuristic algorithms offer advantages in solving the NP-hard problem of service selection, while fuzzy-based methods enhance user experience by visually presenting search results and covering QoS requirements.
Article
Computer Science, Artificial Intelligence
Liya Shen, Huanqing Wang, Hanxue Yue
Summary: This article discusses the problem of prescribed performance control for a class of affine nonlinear systems with state constraints. Fuzzy logic systems (FLSs) are used to handle unknown nonlinear functions. In addition, an additive transformation and one-to-one mapping method are introduced to solve the control problem of nonlinear systems with full-state constraints. Based on adaptive backstepping control, a new prescribed performance adaptive fuzzy control method is developed, which allows tracking error to be limited within the prescribed range and ensures that other state variables do not violate predefined constraints. Simulation examples verify the feasibility of this control method.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Omar A. Aldhaibani, Mustafa Hamid AL-Jumaili, Alessandro Raschella, Hoshang Kolivand, Angelin Peace Preethi
Summary: This paper introduces an optimised HO algorithm for WLANs based on SDWN, utilizing FLCT and AHVs to consider QoE, achieving promising performance results in large network environments.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Computer Science, Hardware & Architecture
P. Rajeswari, K. Jayashree
Summary: This study develops a new hybridization of the firefly optimization algorithm with fuzzy logic based web service composition model (F3L-WSCM) in a cloud environment for location awareness. The model aims to address the uncertainty of QoS in composite services and the complex spatio-temporal features in trip planning, demonstrating superior performance in terms of accuracy, execution time, and efficiency.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2022)
