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Design and Optimization of a Half-Circular Ultra-Wideband Patch Antenna Using Genetic Algorithm
Get PDFThis research introduces an optimization design of an ultra-wideband (UWB) half-circular planar antenna using genetic algorithm. The optimization process is conducted using an Application Programming Interface (API) links two softwares; MATLAB environment and ANSYS HFSS software. The UWB antenna design includes a semi-circular patch element, the UWB behavior is obtained using truncated ground plane incorporating a rectangular slot cut out of the ground. Genetic algorithm is exploited to optimize the length of partial ground plane and the size and position of the rectangular slot. The overall size of the antenna is 28×29×1.6 mm 3. Using the proposed fitness function, the ultra-wide band antenna configuration achieves an extensive impedance bandwidth spanning approximately 14.76 GHz (139.38%), covering frequencies from 3.21 GHz to 17.97 GHz for reflection loss S11 less than-10dB. The findings also indicate that the antenna exhibits a favorable peak gain of 3.7-6.24 dB in the desired band. Therefore, the proposed methodology proofs to be effective to acquire the best UWB behavior of the antenna
Tourism Case Studies Asia-Pacific Region
No full textTourism Case Studies from the Asia-Pacific Region offers a comprehensive exploration of the diverse world of tourism within one of the most dynamic regions on the globe. Authored by leading academic and industry experts, this volume fills a crucial gap in tourism literature by providing practical and engaging case studies that highlight real-world industry best practices, challenges, and opportunities.The volume explores critical topics such as sustainable practices, cultural preservation, community empowerment, resilience, management strategies, policy development, and emerging trends. With 32 case studies, readers are taken on a journey through the unique characteristics of tourism destinations in the Asia-Pacific region, from the bustling cities of China and Japan to the emerging markets of India and beyond. Each case study provides clear aims, context, and outcomes, offering invaluable insights and practical lessons that can be applied in various tourism contexts.Designed for both academic and professional audiences, this volume serves as an essential resource for instructors looking to enhance their teaching practices, students aspiring to succeed in the tourism industry, and practitioners seeking to understand the complexities and opportunities within the Asia-Pacific tourism landscape
Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing
Get PDFVehicular Edge Computing (VEC) is a transportation-specific version of Mobile Edge Computing (MEC) designed for vehicular scenarios. Task offloading allows vehicles to send computational tasks to nearby Roadside Units (RSUs) in order to reduce the computation cost for the overall system. However, the state-of-the-art solutions have not fully addressed the challenge of large-scale task result feedback with low delay, due to the extremely flexible network structure and complex traffic data. In this paper, we explore the joint task offloading and resource allocation problem with result feedback cost in the VEC. In particular, this study develops a VEC computing offloading scheme, namely, a Lagrange multipliers-based adaptive computing offloading with prediction model, considering multiple RSUs and vehicles within their coverage areas. First, the VEC network architecture employs GAN to establish a prediction model, utilizing the powerful predictive capabilities of GAN to forecast the maximum distance of future trajectories, thereby reducing the decision space for task offloading. Subsequently, we propose an real-time adaptive model and adjust the parameters in different scenarios to accommodate the dynamic characteristic of the VEC network. Finally, we apply Lagrange Multiplier-based Non-Uniform Genetic Algorithm (LM-NUGA) to make task offloading decision. Effectively, this algorithm provides reliable and efficient computing services. The results from simulation indicate that our proposed scheme efficiently reduces the computation cost for the whole VEC system. This paves the way for a new generation of disruptive and reliable offloading schemes
Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites
Get PDFDimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While previous research has commonly predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect of DMF on processing and its direct influence on the final characteristics of MXene/epoxy nanocomposites have not been investigated. This unexplored link between DMF dosage, MXene concentrations, and the final composite properties presents an exciting direction for future research. In this study, a fixed dosage of DMF was used with varying MXene concentrations to fabricate the nanocomposites. To assess the reliability of DMF dosage on the characteristics of the fabricated nanocomposites, various evaluation techniques were employed, including dispersion evaluation, mechanical tests, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), scanning electron microscopy (SEM), electromagnetic interference (EMI) shielding, and surface roughness measurements. The research outcomes revealed that as MXene concentration increased, the characteristics of the MXene/epoxy nanocomposites, improved across the board, indicating their potential for use in energy storage applications
Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models
Get PDFMultimaterial problems in linear and nonlinear elasticity are some of the least explored using mixed finite element formulations with higher-order elements. The fundamental issue in adapting the mixed displacement–pressure formulations with linear and higher-order continuous elements for the pressure field is their inability to capture pressure and stress jumps across material interfaces. In this paper, for the first time in literature, we perform comprehensive studies of multimaterial problems in elasticity consisting of compressible and incompressible material models using the mixed displacement–pressure formulation to assess the performance of different element types in accurately resolving pressure fields within the domains and pressure jumps across material interfaces. In particular, inf–sup stable displacement–pressure combinations with element-wise discontinuous pressure for triangular and tetrahedral elements are considered and their performance is assessed along with the Q1/P0 element and Taylor–Hood elements using several numerical examples. The results show that Taylor–Hood elements fail to capture the stress jumps due to the continuity of DOFs across elements, the Crouzeix–Raviart (P2b/P1dc) element yields substantially poor pressure fields despite a significant increase in pressure degrees of freedom and that the P3/P1dc element produces superior quality results fields when compared with the P2b/P1dc element
Utilizing ubiquitous learning to foster sustainable development in rural areas: Insights from 6G technology
Get PDFRural education frequently grapples with demanding situations such as isolation, confined assets, and a virtual divide. The emergence of the sixth generation (6G) era, characterized by its speedy connectivity, minimal latency, and robust reliability, stands out as a beacon of desire, promising to revolutionize these educational landscapes by adopting ubiquitous Learning (U-Learning) environments. This research delves into the transformative skills of the 6G generation in rural schooling through U-Learning. It highlights 6G's position in ensuring identical entry to advanced instructional materials, fostering immersive and tailored learning stories, and permitting immediate interplay within virtual school rooms. Employing a combined-methods framework, this look intertwines an in-depth literature assessment with empirical inquiries, such as case studies, surveys, and dialogues with critical rural schooling stakeholders. It scrutinizes the prevailing situations of pastoral training, 6G's technological advancements, and the conditions for deploying green U-Learning ecosystems. The findings indicated significant improvements in educational resource access, student engagement, and learning outcomes due to implementing 6G technology. The key benefits observed were high-speed connectivity, reduced latency, and enhanced reliability, facilitating more interactive and immersive learning experiences. 6G emerges as a pivotal pressure in reshaping rural education, addressing essential problems of accessibility, pupil engagement, and academic excellence. Achieving this vision needs concerted efforts in infrastructure improvement, instructional programming tailored to 6G, and collaborative endeavors amongst all stakeholders. Future research should focus on developing specific 6G deployment strategies and educational programs tailored to the unique needs of rural populations
Recruitment and baseline data of the Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study: A randomized trial of a hearing loss intervention for reducing cognitive decline
Get PDFINTRODUCTIONHearing loss is highly prevalent among older adults and independently associated with cognitive decline. The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study is a multicenter randomized control trial (partially nested within the infrastructure of an observational cohort study, the Atherosclerosis Risk in Communities [ARIC] study) to determine the efficacy of best-practice hearing treatment to reduce cognitive decline over 3 years. The goal of this paper is to describe the recruitment process and baseline results.METHODSMultiple strategies were used to recruit community-dwelling 70–84-year-old participants with adult-onset hearing loss who were free of substantial cognitive impairment from the parent ARIC study and de novo from the surrounding communities into the trial. Participants completed telephone screening, an in-person hearing, vision, and cognitive screening, and a comprehensive hearing assessment to determine eligibility.RESULTSOver a 24-month period, 3004 telephone screenings resulted in 2344 in-person hearing, vision, and cognition screenings and 1294 comprehensive hearing screenings. Among 1102 eligible, 977 were randomized into the trial (median age = 76.4 years; 53.5% female; 87.8% White; 53.3% held a Bachelor's degree or higher). Participants recruited through the ARIC study were recruited much earlier and were less likely to report hearing loss interfered with their quality of life relative to participants recruited de novo from the community. Minor differences in baseline hearing or health characteristics were found by recruitment route (i.e., ARIC study or de novo) and by study site.DISCUSSIONThe ACHIEVE study successfully completed enrollment over 2 years that met originally projected rates of recruitment. Substantial operational and scientific efficiencies during study startup were achieved through embedding this trial within the infrastructure of a longstanding and well-established observational study.HighlightsThe ACHIEVE study tests the effect of hearing intervention on cognitive decline.The study is partially nested within an existing cohort study.Over 2 years, 977 participants recruited and enrolled.Eligibility assessed by telephone and in-person for hearing, vision, and cognitive screening.The ACHIEVE study findings will have significant public health implications
Improved bounds on number fields of small degree
Get PDFWe study the number of degree n number fields with discriminant bounded by X. In this article, we improve an upper bound due to Schmidt on the number of such fields that was previously the best known upper bound for 6 ≤ n ≤ 94
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