Hui Xi

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Globally distributed software enhancement necessitates joint efforts of workforces across various organizations, which constitutes a multifaceted social network. Here, we propose a novel modeling framework to optimally assign the workforce to software development projects considering both short and long-term benefits of the organization. The proposed(More)
A novel pedestrian behavior model is proposed, which integrates 1) Extended Decision Field Theory (EDFT) for tactical level human decision-making, 2) Social Force model (SFM) to represent physical interactions and congestions among the people and the environment, and 3) dynamic planning algorithm involving AND/OR graphs. Furthermore, the Social Force model(More)
Leaf spot was found on field bindweed (Convolvulus arvensis L.) in Shihezi City, Xinjiang Province, China, during the summer of 2015. Pathogens were isolated from the infected leaves of field bindweed and identified as Aspergillus niger based on morphological and molecular analyses (internal transcribed spacer rDNA and β-tubulin gene). A pathogenicity test(More)
This work proposes an agent-based simulation system to address challenges in resource constrained multi project scheduling for a technology intensive industrial product development programme. The system aims at helping users develop robust programme schedules by taking care of intra-and inter-dependencies between projects, potential knock-on effect of(More)
Modeling human decision-making behaviors under a complex and uncertain environment is quite challenging. The goal of this tutorial is to discuss an extended Belief-Desire-Intention (BDI) framework that the authors' research group has been developing last decade to meet such a challenge, integrating models and techniques (e.g. Bayesian Belief Network,(More)
A multi-scale simulation framework is proposed to analyze pedestrian delays at signalized crosswalks in large urban areas under different conditions. An aggregated-level model runs in normal conditions, where each crosswalk is represented as an agent. A derived probability function extended from Adams' model is utilized to estimate an average pedestrian(More)
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