Hasil untuk "Competition"

J. Pont-Tuset, Federico Perazzi, Sergi Caelles et al.

We present the 2017 DAVIS Challenge on Video Object Segmentation, a public dataset, benchmark, and competition specifically designed for the task of video object segmentation. Following the footsteps of other successful initiatives, such as ILSVRC and PASCAL VOC, which established the avenue of research in the fields of scene classification and semantic segmentation, the DAVIS Challenge comprises a dataset, an evaluation methodology, and a public competition with a dedicated workshop co-located with CVPR 2017. The DAVIS Challenge follows up on the recent publication of DAVIS (Densely-Annotated VIdeo Segmentation), which has fostered the development of several novel state-of-the-art video object segmentation techniques. In this paper we describe the scope of the benchmark, highlight the main characteristics of the dataset, define the evaluation metrics of the competition, and present a detailed analysis of the results of the participants to the challenge.

R. Timofte, E. Agustsson, L. Gool et al.

This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 had unknown downscaling operators (blur kernel and decimation) but learnable through low and high res train images. Each competition had ∽100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.

J. Hoffmann, Bernhard Nebel

We describe and evaluate the algorithmic techniques that are used in the FF planning system. Like the HSP system, FF relies on forward state space search, using a heuristic that estimates goal distances by ignoring delete lists. Unlike HSP's heuristic, our method does not assume facts to be independent. We introduce a novel search strategy that combines hill-climbing with systematic search, and we show how other powerful heuristic information can be extracted and used to prune the search space. FF was the most successful automatic planner at the recent AIPS-2000 planning competition. We review the results of the competition, give data for other benchmark domains, and investigate the reasons for the runtime performance of FF compared to HSP.

N. Bloom, M. Draca, J. V. Reenen

Y. Koren, Robert M. Bell

M. Mayfield, J. Levine

F. Scharpf

H. Triandis, Robert N. Bontempo, M. Villareal et al.

M. Fox, D. Long

In recent years research in the planning community has moved increasingly towards application of planners to realistic problems involving both time and many types of resources. For example, interest in planning demonstrated by the space research community has inspired work in observation scheduling, planetary rover exploration and spacecraft control domains. Other temporal and resource-intensive domains including logistics planning, plant control and manufacturing have also helped to focus the community on the modelling and reasoning issues that must be confronted to make planning technology meet the challenges of application. The International Planning Competitions have acted as an important motivating force behind the progress that has been made in planning since 1998. The third competition (held in 2002) set the planning community the challenge of handling time and numeric resources. This necessitated the development of a modelling language capable of expressing temporal and numeric properties of planning domains. In this paper we describe the language, PDDL2.1, that was used in the competition. We describe the syntax of the language, its formal semantics and the validation of concurrent plans. We observe that PDDL2.1 has considerable modelling power -- exceeding the capabilities of current planning technology -- and presents a number of important challenges to the research community.

S. Sitch, Benjamin Smith, I. Prentice et al.

The Lund–Potsdam–Jena Dynamic Global Vegetation Model (LPJ) combines process‐based, large‐scale representations of terrestrial vegetation dynamics and land‐atmosphere carbon and water exchanges in a modular framework. Features include feedback through canopy conductance between photosynthesis and transpiration and interactive coupling between these ‘fast’ processes and other ecosystem processes including resource competition, tissue turnover, population dynamics, soil organic matter and litter dynamics and fire disturbance. Ten plants functional types (PFTs) are differentiated by physiological, morphological, phenological, bioclimatic and fire‐response attributes. Resource competition and differential responses to fire between PFTs influence their relative fractional cover from year to year. Photosynthesis, evapotranspiration and soil water dynamics are modelled on a daily time step, while vegetation structure and PFT population densities are updated annually.

Laurent Verschuere, G. Rombaut, P. Sorgeloos et al.

B. Oviatt, P. P. McDougall

J. Alba, John G. Lynch, Barton A. Weitz et al.

K. Benoit, M. Laver

R. Levins, D. Culver

Paola Joseph, Colin Pennington

Background: Athlete' psychological well-being is fundamental to their success and resilience. Recognizing this critical link, understanding how to enhance mental health for improved sport performance is invaluable to the athletic community. Aims: This article aims to concisely examine the intricate relationship between athlete mental health and performance, synthesizing current information and strategies to optimize both. Methods: A systematic literature review was conducted to identify, select, and analyze relevant studies on the impact of mental health on athletic performance across various sports. A thematic narrative synthesis summarized findings, informing practical recommendations. Results: Findings consistently show that elite and collegiate athletes face comparable or heightened risks of mental health disorders due to intense competition, public scrutiny, and career uncertainties. Conversely, strong team cohesion and social support significantly enhance athletes' mental well-being and performance. Practical strategies include ensuring access to specialized mental health professionals, integrating mindfulness and relaxation techniques (e.g., Progressive Muscle Relaxation), utilizing mental health checklists for self-assessment, and implementing comprehensive coaching guidelines. These guidelines emphasize open communication, mental health education for coaches, and proactive stress management within training programs. Conclusion: The profound connection between mental health and athletic performance necessitates a proactive, multifaceted approach. At the same time, current research provides valuable insights, but limitations exist, including potential publication bias and a narrow time frame in many studies. Future research should prioritize longitudinal studies to understand long-term effects, explore technological interventions for accessibility, and rigorously evaluate student support services. These efforts will contribute to more effective, evidence-based support systems for athletes.

Ana Boladeras, Laura Gil-Caselles, Isabel Moreno-Fernández et al.

Background: Athletic success depends not only on physical performance and psychological well-being but also on the effective emotional regulation of adaptive processes to prevent sports injuries in stressful situations such as competition. This study analyzes the relationship between emotional state, pre-competitive anxiety, and injury incidence in female volleyball players throughout an entire competitive season. Methods: The POMS and CSAI-2 questionnaires were administered before 16 league matches to 21 high-performance players (mean age = 29.66 ± 5.19 years). Results: Players exhibited an iceberg mood profile with low levels of pre-competitive anxiety. Negative moods were higher at the start and decreased over time, while positive moods increased as matches progressed (<i>p</i> < 0.05). Anxiety remained stable throughout. Additionally, 28.6% of players experienced injuries; injured players showed higher cognitive anxiety, lower self-confidence, and emotional instability, suggesting a potential psychological risk profile for injury, even though group differences did not reach statistical significance. Significant correlations were found between Total Mood Disturbance (TMD) and cognitive anxiety (r = 0.49, <i>p</i> < 0.05) and between vigor and self-confidence (r = 0.52, <i>p</i> < 0.01), indicating a bidirectional relationship. A bidirectional relationship between mood and anxiety was confirmed, highlighting the POMS Total Mood Disturbance (TMD) index as a global emotional indicator. Conclusions: These findings suggest that managing worries, self-confidence, and emotional balance are key factors in injury prevention, emphasizing the importance of regularly monitoring and managing psychological indicators as part of injury prevention strategies.

Zhao Zhang, Shaoran Yu

Current studies on Luis Suárez’s three biting incidents in football reveal considerable shortcomings: an emphasis on discrete occurrences, disregard for dynamic psychological processes, and dependence on initial trait attribution. These deficiencies hinder the elucidations of recurrent unauthorised aggression by non-habitual aggressors in high-pressure situations. This research fills this need through case analysis and theoretical synthesis. Using biting occurrences as case studies, it amalgamates the self-control model and reversal theory to develop the stress-depletion-aggression model (SDA). The model outlines a three-stage hostility trajectory: (1) Internal and external stressors systematically diminish self-control resources through physiological and cognitive mechanisms; (2) Continuous depletion undermines inhibitory control and alters motivational priorities; (3) A transition in meta-motivational states (from conformist to negativistic + telic/mastery + telic) incites unsanctioned aggression. The findings indicate that the SDA model accomplishes multilevel integration of physiological, neurocognitive, and motivational factors; recognises ego depletion as the primary mediator between stress and motivational transitions; and improves predictive capability for unsanctioned aggression beyond conventional theories. The study indicates that unsanctioned aggression arises from the interactive effects of stress accumulation, resource depletion, and significant motivational-state shifts, establishing a scientific foundation for anticipating athlete hostility, formulating remedies, and optimising competition regulations. The proposed SDA model represents a novel theoretical integration, systematically combining the physiological-cognitive mechanisms of self-control resource depletion with the dynamic reversals of meta-motivational states, thereby providing a multi-level, testable framework for understanding and predicting sudden, unsanctioned aggression by non-habitual aggressors under high pressure.

Sajidah Tiara Ayu Wiranda, Minto Waluyo

The rapidly evolving business landscape, particularly in manufacturing and service sectors, demands effective marketing strategies to secure a competitive edge and sustain market presence. This paper focuses on the chemical industry, exemplified by CV Rizqy Anhu Kemala, which faces challenges such as product quality dissatisfaction and increased competition. The study explores the impact of the 4P marketing mix—Product, Price, Promotion, Place—on perceived consumer value, trust, and repurchasing decisions. By collecting questionnaire data and applying Structural Equation Modeling (SEM), the research aims to provide insights. The findings show that the relationship between the independent variable product (X1) has a positive effect on perceived value, price (X2) does not have a positive effect on perceived value, promotion (X3) and location (X4) cannot be proven because these variables are excluded. While the perceived value attachment variable (Y) has a positive and significant effect on trust.

D. Goldberg, J. Grace, D. Tilman