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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)
The rolling circle amplification (RCA) is a versatile DNA amplification method in which a DNA molecule is amplified using a single DNA primer, allowing the product to be counted as a single dot. Circular templates for RCA can arise from padlock probes in highly specific DNA target-mediated ligation reactions. However, improvement of detection efficiency(More)
In industry, many problems are considered as the Decentralized Resource-Constrained Multi-Project Scheduling Problem (DRCMPSP). Existing approaches encounter difficulties in dealing with large problems while preserving information privacy of project agents. In this paper, we propose a novel approach to solve DRCMPSP based on the multi-unit com-binatorial(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)
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)
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)
Proactive scheduling can effectively handle activity duration uncertainty in real-world projects, by generating a baseline solution according to a prior stochastic knowledge. However, most of the previous approaches cannot deal with the activity duration uncertainty caused by time-dependent workability uncertainty. In this paper, we aim at finding a(More)
This study was conducted to identify the driving factors behind fungal community dynamics during agricultural waste composting. Fungal community abundance and structure were determined by quantitative PCR and denaturing gradient gel electrophoresis analysis combined with DNA sequencing. The effects of physico-chemical parameters on fungal community(More)