5916 research outputs found
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Landscape design as art: An experimental methodology with the use of neurographic art and metaball geometry
No full textWith the use of new technological solutions, non-Euclidean forms can be created in various software platforms and can be produced or fabricated in order to be parts of real world design works. Therefore, new methodology proposals for creation of non-Euclidean forms can be helpful to both designers and design students. In this study, an experimental landscape design methodology which is carried out within the scope of Ozyegin University, Department of Architecture, Architectural Design Studio V and Parametric Design courses, is presented and discussed. Neurographic art is used as a manual art case and metaball script is used as a digital art case of this method. This method has been evaluated and discussed from the perspective of the educators and students. As a result, it has been concluded that the proposed landscape design methodology can be used for the creation of non-Euclidean landscape design forms.Publisher versio
Rankings of curved and sharp-angled drawings: Frames and evaluation criteria
No full textThis research investigates how rankings of curved versus sharp-angled line drawings are influenced by surrounding frames and evaluation criteria. We predicted that congruence among the curvature of a drawing, the curvature of its frame, and the evaluation criterion might increase participants' rankings of that stimulus. Participants ranked 26 sets of six stimuli (curved and sharp-angled versions of line drawings, presented unframed, within square frames, or within round frames) according to their curvature (Study 1), or their pleasantness and interestingness (Study 2). Framed stimuli were ranked as more pleasant, and more interesting, than unframed stimuli. Beyond this, rankings seemed to be somewhat sensitive to congruencies among the curvature of the drawing, the curvature of its frame, and the evaluation criterion. These effects also differed between different types of drawing. For contained drawings, which did not reach the boundaries of their frame area, curved stimuli tended to be ranked as more pleasant than sharp-angled stimuli, except when they were presented in a sharp-angled, and therefore incongruent, square frame. For truncated drawings, which did touch the boundaries of their frame area, sharp-angled stimuli were ranked as more pleasant than curved stimuli, except when they were presented in an incongruent round frame; sharp-angled stimuli were also ranked as more interesting than curved stimuli, and this did not seem to be moderated by framing. Overall, judgments were influenced by stimulus-and task-related factors, and by congruence among those factors
Multi-layer airborne fso systems: Performance analysis and optimization
No full textWith its ultra-high-capacity, free space optical (FSO) communication stands out as a powerful connectivity solution for airborne backhauling. In this paper, we consider typical backhauling scenarios for single-layer and multi-layer airborne networks and characterize the underlying multi-hop FSO transmission. In the first scenario, we consider a single-layer airborne backhaul system where a fleet of high-altitude platform stations (HAPSs) continuously rotates on a circular track at a specific altitude. It is assumed that the communication links are always established with the closest HAPS. In such a scenario, a dual-hop FSO transmission is required where the first hop is from the gateway node to HAPS and the second hop is from the HAPS to the base station. In the second scenario, we consider a two-layer system where HAPSs are assisted by rotary-wing unmanned aerial vehicles (UAVs) at lower operation altitudes to ease line of sight (LoS) requirement, which might be especially critical in urban scenarios. This mainly corresponds to a three-hop configuration where the first hop is from the gateway to HAPS, the second hop is from HAPS to UAV and the final hop is from UAV to the base station. For both scenarios under consideration, we first develop a channel model for the airborne link to describe atmospheric attenuation, geometrical loss, and pointing error. The transmission distance of the HAPS-based link is subject to continuous change due to movement and leads to a time-varying atmospheric attenuation loss and geometric loss. These mobility-induced variations in the average received power effectively introduce a fading effect. We develop a probability density function (PDF) to capture this effect. While pointing error can be ignored for HAPS-based links under certain conditions, rotary-wing UAVs introduce displacements in both and directions. We further characterize this phenomenon and quantify the resulting variance of displacements. Based on the developed PDFs, we derive the end-to-end bit error rate (BER) for two-hop and three-hop airborne systems under consideration. We further propose a power allocation scheme to optimize the BER performance, ensuring that the overall performance is not dominated by a single hop
Parallelization of genetic algorithms for software architecture recovery
No full textSoftware Architecture Recovery (SAR) techniques analyze dependencies between software modules and automatically cluster them to achieve high modularity. Many of these approaches employ Genetic Algorithms (GAs) for clustering software modules. A major drawback of these algorithms is their lack of scalability. In this paper, we address this drawback by introducing generic software components that can encapsulate subroutines (operators) of a GA to execute them in parallel. We use these components to implement a novel hybrid GA for SAR that exploits parallelism to find better solutions faster. We compare the effectiveness of parallel algorithms with respect to the sequential counterparts that are previously proposed for SAR. We observe that parallelization enables a greater number of iterations to be performed in the search for high-quality solutions. The increased efficiency achieved through parallel processing allows for faster convergence towards optimal solutions by harnessing the power of multiple processing units in a coordinated manner. The amount of improvement in modularity is above 50%, which particularly increases in the context of large-scale systems. Our algorithm can scale to recover the architecture of a large system, Chromium, which has more than 18,500 modules and 750,000 dependencies among these modules.TÜBİTA
More than just numbers: Exploring the transformative role of accounting practices in the black sea grain initiative for mitigating human-made crises
No full textThis article explores the role of accounting in mitigating human-made crises. It demonstrates calculative practices subjected to measurement, monitoring, and control in a context where information is integrated into transnational initiatives and compromises. The authors focus on the accounting practices in forming and operating the Black Sea Grain Initiative. Their data was gathered from documents and analysed qualitatively. The authors argue that transactional governmentality is important in understanding how new practices and government procedures create spatio-hierarchical structures and innovative calculation methods to mediate the distant actors and sustain controllability. This article adds to the academic literature by introducing transactional governmentality and demonstrating how accounting is framed as a governmentality device within the transnational environment. Accounting is shown to facilitate negotiation and materialization of compromise and it can serve as a transformative element in crisis mitigation
Social media influencer marketing: The role of influencer type, brand popularity, and consumers' need for uniqueness
No full textThe present study investigates how the type of social media influencer based on follower count (i.e. macro or micro-influencer) and the popularity of a brand that the influencer endorses affect consumers' purchase intentions for the endorsed brand. Results of four experimental studies demonstrate that consumers are more likely to purchase a more (less) popular brand when it is endorsed by a macro(micro)-influencer, because a macro(micro)-influencer is perceived as more congruent with the endorsement of a more (less) popular brand. Results further show that the higher effectiveness of a macro(micro)-influencer for a more (less) popular brand endorsement only holds for consumers who have a low need for uniqueness. Theoretical contributions and managerial relevance of the results are discussed
Feature distribution statistics as a loss objective for robust white balance correction
No full textWhite balance (WB) correction is critical for accurate color reproduction in digital images, especially under complex, multi-illuminant lighting conditions. Traditional methods, such as the Gray-World assumption, rely on global statistics and struggle in real-world, non-uniform lighting scenarios. Modern deep learning approaches, including convolutional and attention-based architectures, have significantly advanced WB correction but often fail to explicitly account for higher-order feature distribution statistics, which may limit their robustness in challenging environments. This study introduces a novel framework that leverages Exact Feature Distribution Matching (EFDM) as a loss objective to align feature distributions across multiple moments, including mean, variance, skewness, and kurtosis. By modeling lighting as a style factor, the method explicitly addresses distributional shifts caused by complex illumination, offering a robust solution for WB correction. The framework integrates EFDM with a Vision Transformer architecture, enabling precise handling of global and local lighting variations. Extensive experiments on the large-scale multi-illuminant (LSMI) dataset demonstrate the superiority of the proposed approach over state-of-the-art methods and commonly used loss functions when applied to the same architecture. Qualitative and quantitative evaluations highlight its effectiveness in achieving perceptually accurate WB correction, particularly in multi-illuminant environments. By bridging statistical modeling with modern deep learning, this work establishes the critical role of feature distribution alignment in advancing WB correction and sets a new benchmark for robustness and generalization in complex lighting scenarios.TÜBİTAKPublisher versio
A comprehensive review of multiple orifice synthetic jets for heat transfer and flow characteristics
No full textThe continuous drive towards miniaturization and higher power density in integrated electronics has intensified thermal management challenges, necessitating innovative cooling solutions to maintain reliability and performance. Synthetic jets (SJs), characterized by their zero-net-mass-flux operation, compact design, low power consumption, and ability to disrupt thermal boundary layers via vortex-driven impingement, offer distinct advantages over conventional active cooling methods. Multiple orifice SJ configurations offer superior heat transfer at shorter orifice-to-surface distances, enhanced local and overall cooling, and better control over phase delay among jets. This review critically examines the progress and potential of multiple orifice synthetic jets as a transformative active cooling technology, including their integration with passive and active cooling systems such as heat sinks, cross flows, and microchannels, without incurring significant pressure drops or additional power requirements. The flow fields of multiple-orifice SJs were also analyzed and compared with those of single-orifice SJs. A detailed comparison of actuator designs, orifice geometries, and operational parameters is presented, summarizing key performance metrics like Nusselt (Nu) numbers, heat transfer coefficients, and COP improvements. The review concludes by identifying research gaps-especially in the integration of multiple orifice SJs with liquid and two-phase cooling systems-and proposing future directions to further enhance electronic thermal management. By bridging mechanistic insights with practical applications, this work underscores multiple orifice SJs as a pivotal innovation for next-generation thermal management in high-power microelectronics, offering scalable, cost-effective solutions to meet evolving industry demands.Department of Mechanical Engineering, Samuel Ginn College of Engineering at Auburn Universit
Integrated treatment scheduling and logistics planning for a hemodialysis center after a disaster with robust travel times
No full textHemodialysis centers use session-based scheduling to provide regular treatments for chronic hemodialysis patients. Optimizing the use of hemodialysis machines is crucial to managing daily patient loads, which requires the timely initiation of parallel sessions. Many centers offer transportation (shuttle) services to ensure punctual patient arrivals. However, post-disaster scenarios pose significant challenges, including road network disruptions, heightened demand for hemodialysis services, and reduced service capacity. The provision of shortened hemodialysis treatments in disaster conditions further complicates planning. This study addresses patient transportation and treatment scheduling in a hemodialysis center following a disaster, accounting for travel time uncertainties due to road disruptions. For a cohort of chronic hemodialysis patients requiring periodic treatment over a defined relief planning horizon (e.g., two weeks) and with constrained session capacity, the center must determine which patients to serve each day and each session with what type of treatments (regular or short) and construct shuttle routes. We introduce an integer programming model to address this integrated treatment scheduling and routing problem. We incorporate uncertainties in travel times in a post-disaster setting by a data driven robust optimization approach. Additionally, we develop an efficient decomposition-based constructive heuristic and matheuristic to solve the resulting problem. We illustrate our approach on a case study based on an earthquake scenario in Istanbul, utilizing data from the Istanbul Metropolitan Municipality to map road closures.TÜBİTA
Investigating the motivational game elements in game-based interventions in school context: A literature review
No full textThis paper presents a scoping review on motivational game elements examined in game-based interventions for children's learning in school context in ACM Digital Library and Scopus, with a total of 119 articles reviewed. The aim of the review is to (1) reveal the current state of the art, (2) identify the types of interventions, the game elements, and investigate the core drives of the interventions, (3) examine the empirical findings on the link between motivation and game elements, and (4) define a future research agenda. The results of the scoping review show that interventions that utilize gamification for children are increasingly gaining attention, mostly involve game elements that address the drive for development and accomplishment, the studies mostly target children between 7 to 13 years and the educational domain. The results further show a wide range of game elements in relation to the core drives, and a need for more diverse studies.Publisher versio