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Electrically Small Antenna Based on Low Order Mie-Resonances
No full textExciting magnetic/electric multipoles in dielectric radiators remains an insufficiently explored area in the context of super-directive electrically small antennas (ESAs) design. This is a design problem of devising a single-port ESA with one or more dielectric NFRPs to host a mixture of magnetic/electric multipoles. Here, we employ the Mie resonances to engineer a simple Huygen’s source in an all-dielectric near-field resonant parasitic (NFRP)
The pull vs push approach to building climate change adaptive capacity: does innovation matter
No full textGood governance and innovation have been identified as important contributors towards the achievement of climate change goals but without an empirical cross-examination of their impact on climate adaptive capacity. Using panel data for 138 countries from 1998 to 2020, we utilize a mixed-effects linear regression model to predict adaptive capacity to climate change as a function of government effectiveness (governance push), voice and accountability (governance pull), and their interactions with innovation. Our results reveal that governance push (government effectiveness) positively impacted climate change adaptive capacity and that innovation moderated this relationship. Interestingly, we found no significant main effect of the governance pull (voice and accountability) dimension on climate change adaptive capacity, while controlling for other governance factors. Our findings seek to draw policymakers\u27 attention to government effectiveness (governance push) as the most impactful governance in building adaptive capacity and how innovation can be leveraged as a mechanism for enhancing the impact of the governance push dimension (government effectiveness) on adaptive capacity
Optimizing diamond\u27s electronic band structure via defect engineering for enhanced HER and OER catalysis
No full textDiamond is a fascinating material with exceptional optical and electronic properties, making it a highly desirable material for various applications. Herein, the effect of various types of defects and their concentration the optical and electronic properties of diamond is investigated and discussed. Using Boron and Nitrogen as dopants, we demonstrate how the electronic band structure can be tailored to achieve specific optical and electronic properties without compromising the crystal structure. Furthermore, Hydrogen interstitial defects enable the manipulation of the band structure and provide a better understanding of the correlation between band structure, density of states, and optical properties. Moreover, the validity of selected structures with high desirable electronic and optical properties as Hydrogen and oxygen evolution catalysts was explored and discussed
Design and Analysis of SAW Gas Sensor Utilizing AIN/Diamond/Si Multilayered Structure for VOCs Detection
No full textThis study provides insights into the design and analysis of surface acoustic wave sensors customized for detecting volatile organic compounds (VOCs), utilizing an innovative AlN/diamond/Si multilayered configuration. The results are explored numerically using finite element method simulation within the COMSOL Multiphysics package. The potential of the AlN piezoelectric thin film on diamond on Si substrates for sensor development is examined. The phase velocities, electromechanical coupling coefficient, K2, and reflectivity are examined versus the normalized thicknesses of the substrates, considering both Rayleigh and Sezawa wave modes. Additionally, the temperature coefficient of frequency (TCF) is investigated. The results show that the TCF increases with reducing the thickness of the diamond. For instance, at khAIN = 2 where the maximum K2 can be observed, the TCF increases from −17 to −14 to 3 ppm/°C for khdiamond = 0.5, 0.2, and 0.05, respectively. Furthermore, the sensor sensitivity to gas concentration in the air is examined for several VOCs using a thin polyisobutylene (PIB) layer for sensor demonstration. The study shows a remarkable sensitivity enhancement in sensor sensitivity achieved through the Sezawa wave mode compared to the Rayleigh counterpart. For example, in the case of tetrachloroethene gas (PCE), the sensor sensitivity reaches 197.73 Hz/ppm for the Sezawa mode, as opposed to 62.15 Hz/ppm for the Rayleigh mode
Computer Science Curricula 2023 (CS2023): Rising to the Challenges of Change in AI, Security, and Society
No full textModel curricula for baccalaureate computer science (CS) have been published regularly from 1968 [1] through 2013 [4]. In early 2021, the ACM, IEEE-Computer Society, and the Association for the Advancement of Artificial Intelligence (AAAI) constituted a task force to revise these curricula, which have now been released as Computer Science 2023 Curricula (CS2023) [3]. The CS2023 curricular guidelines inform educators and administrators on the what, why, and how to cover undergraduate CS over the next decade. Like past guidelines, CS2023 provides curricular content – a knowledge model largely backward compatible with CS2013, supplemented by a competency framework influenced by Computing Curricula 2020 (CC2020) [2] – and complementary curricular practices, which include articles by international experts on program design and delivery. Ongoing drafts of CS2023 were disseminated via the CS2023 website [3], along with regular publications or presentations at various computing education venues. This panel focuses on three among the 17 CS2023 knowledge areas: Society, Ethics, and the Profession (SEP), Artificial Intelligence (AI), and Security (SEC). While the other 14 knowledge areas remain important in CS education, these three have been in the news due to inadequacies in current CS education. The panelists, who served on the CS2023 steering committee, will discuss how CS2023 addresses these challenges. Attendees will appreciate the approach taken by CS2023 toward these three hot-button items of CS education, especially constraints on curriculum design, and how CS2023 may be used to educate the next generation of CS graduates to rise to these three challenges
The figures, profiles, border figures (figures-limites), and ‘pure schema’ of Foucault’s later lectures on cosmopolitanism
No full textThis article offers an affirmative reading of the Socratic and Cynical ‘figures’ in Foucault’s lecture series at the Collège de France, his last (if not final) word on the philosophical care of the self and cosmopolitanism. Foucault interprets ancient philosophy in a series of figures, all of whom are characterized by an affirmative care of self rather than by the hierarchical pastoral power relations he ascribes to Christian confessional politics. In an overlooked complication, Foucault introduces border figures (figures-limites) that mark the limits of a classical figure (e.g. Diogenes the Cynic) and anticipates or recalls very different historical and philosophical configurations of truth, power, and self. This article describes Socrates and Cynics as figures and as border figures introducing new relations of subject, truth, and power. The article distinguishes the practices of the life-affirming figure of Socrates from ‘Platonism’ and uses the concept of the border figure to explore the practical range of commitments of Cynic cosmopolitans. The article then addresses recent and present-day radical cosmopolitans in terms of the figure of the cosmopolitan and the border figure of the defiant performance artist and militant political revolutionary. Not easily amenable to simple labels, Foucault’s cosmopolitanism could be described as zetetic, or searching and testing. As militant and radical, its radical commitment is to experimenting with different configurations of subject, truth, and power
Towards Mitigating Climate Change Negative Impact: The Role of Regulations and Governance in the Construction Industry
No full textClimate change is a significant challenge in today’s world. The construction industry is one of the most energy-intensive and raw material-depleting sectors worldwide. Legal regulations, such as laws, building codes, and alternative governance, are effective ways to help mitigate climate change risks. Most of the research focuses on either one country’s policies in the construction industry towards climate change or one type of regulation across various countries. Therefore, the objective of this study is to explore and compare various kinds of regulations, namely policies and laws, green codes, and green building rating systems, in three countries: Egypt, the UAE, and the United States, representing different country profiles from different continents. Sources from credible journal papers, conference proceedings, and theses dissertations were used to explore the most recent practices in these countries. It was found that Egypt is the least effective country in enforcing actions towards the climate crisis. There is a gap between the UAE’s actions and the nationally determined contribution target. Federal setbacks hinders the widespread adoption of green practices in the United States. Therefore, the key to effective approaches to combating climate change is enforcing inclusive laws, including all sustainability pillars, and having inclusive nationwide emissions targets in all sectors
Dynamic Path Planning for Autonomous Vehicles: A Neuro-Symbolic Approach
No full textThe rise of autonomous vehicles has transformed transportation, promising safer and more efficient mobility. Dynamic path planning is crucial in autonomous driving, requiring real-time decisions for navigating complex environments. Traditional approaches, like rule-based methods or pure machine learning, have limitations in addressing these challenges. This paper explores integrating Neuro-Symbolic Artificial Intelligence (AI) for dynamic path planning in self-driving cars, creating two regression models with the Logic Tensor Networks (LTN) Neuro-Symbolic framework. Tested on the CARLA simulator, the project effectively followed road lanes, avoided obstacles, and adhered to speed limits. Root mean square deviation (RMSE) gauged the LTN models’ performance, revealing significant improvement, particularly with small datasets, showcasing Neuro-Symbolic AI’s data efficiency. However, LTN models had longer training times compared to linear and XGBoost regression models
Framework for the Optimization of Flying Shuttering Bridges: A Hybrid Graph Theory and Simulation Approach
No full textBridge construction is considered as one of the major industries which reflect remarkable human evolution and creativity. Flying Shuttering is considered one of the robust techniques for a bridge’s deck construction because of its speedy construction feature. This paper presents a framework to help clients and consultants to make sound decisions regarding the selection of an optimized construction methodology in order to obtain better time and resource utilization. An intelligent framework with advanced computational tools and algorithms was designed to simulate and optimize bridge construction sequences for Flying Shuttering Construction Method, in order to obtain an optimized construction duration and resource utilization. It retrieves bridge elements geometric and topological information and maps them into the Bridge Elemental Graph Data Model (EGDM). By assigning the elemental construction method for each bridge element, the Bridge Elemental Construction Method Graph (ECMG) is formed. By searching the Bridge ECMG, possible Bridge construction sequences are retrieved, which are, then, simulated using a set of resource combinations in order to obtain the optimal Bridge Construction Sequence and, hence, recommend the Optimal Construction Method along with the Construction Schedule & Resources Utilization
Graph Representation for Emergency Egress Code Analysis
No full textCode checking for emergency egress has been studied significantly which led to the continuous advancement and development of automatic code checkers. Yet, these checkers were only able to identify whether the building meets the code limitations or not and, in some cases, were able to take a step further and identify problem areas (if any). This paper presents a novel approach for code checking and analysis using graph theory. It maps floor plans into a simple directed acyclic Floor Plan Elemental Graph Data Model (EGDM). The Floor Plan EGDM, dual-graph representation, undergoes graph distance analyses in order to perform the first level of code checking, where egress paths are identified and examined against IBC emergency egress code limitations. The benefit of such a graph representation is not limited to performing traditional code checking, but further extends to include an innovative analysis of the floor plans to perform post-code checking. Post-code checking utilizes graph measures and search techniques on buildings that meet the code in order to identify areas for improvement and highlight critical areas where problems can happen. It is, also, performed on non-compliant buildings in order to highlight the problem areas and, hence, help the designer in solving these problems