Widely available digital technologies are empowering citizens who are increasingly well informed and involved in numerous water, climate, and environmental challenges. Citizen science can serve man...

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Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges

Better prediction and monitoring of flood events are key factors contributing to the reduction of their impact on local communities and infrastructure assets. Flood management involves successive phases characterized by specific types of assessments and interventions. Due to technological advances, computer vision plays an increasing role in flood monitoring, modeling and awareness. However, there is a lack of systemic analysis of computer vision's relative adequacy to specific needs associated with successive flood management phases. This article presents a systematic review of relevant literature and proposes a need-based evaluation of these use-cases. Finally, the article highlights future areas of research in this domain.

How computer vision can facilitate flood management: A systematic review

We present a method of adding sophisticated physical simulations to voxel-based games such as the hugely popular Minecraft (2012. http://minecraft.gamepedia.com/Liquid
 ), thus providing a dynamic and realistic fluid simulation in a voxel environment. An assessment of existing simulators and voxel engines is investigated, and an efficient real-time method to integrate optimized fluid simulations with voxel-based rasterisation on graphics hardware is demonstrated. We compare graphics processing unit (GPU) computer processing for a well-known incompressible fluid advection method with recent results on geometry shader-based voxel rendering. The rendering of visibility-culled voxels from fluid simulation results stored intermediately in CPU memory is compared with a novel, entirely GPU-resident algorithm.

/pdf/integrating-real-time-fluid-simulation-with-a-voxel-engine-2k1d2zdmlf.pdf

Integrating Real-Time Fluid Simulation with a Voxel Engine

This paper presents a Differential Evolutionary (DE) algorithm for solving multi-objective kinematic problems (e.g., endeffector locations, centre-of-mass and comfort factors). Inverse kinematic problems in the context of character animation systems are one of the most challenging and important conundrums. The problems depend upon multiple geometric factors in addition to cosmetic and physical aspects. Further complications stem from the fact that there may be non or an infinite number of solutions to the problem (especially for highly redundant manipulator structures, such as, articulated characters). What is more, the problem is global and tightly coupled so small changes to individual link’s impacts the overall solution. Our method focuses on generating approximate solutions for a range of inverse kinematic problems (for instance, positions, orientations and physical factors, like overall centre-of-mass location) using a Differential Evolutionary algorithm. The algorithm is flexible enough that it can be applied to a range of open ended problems including highly non-linear discontinuous systems with prioritisation. Importantly, evolutionary algorithms are typically renowned for taking considerable time to find a solution. We help reduce this burden by modifying the algorithm to run on a massively parallel architecture (like the GPU) using a CUDAbased framework. The computational model is evaluated using a variety of test cases to demonstrate the techniques viability (speed and ability to solve multi-objective problems). The modified parallel evolutionary solution helps reduce execution times compared to the serial DE, while also obtaining a solution within a specified margin of error (<1%).

Inverse Kinematic Solutions for Articulated Characters using Massively Parallel Architectures and Differential Evolutionary Algorithms

Creating realistic physically-based systems such as weather, water, or light for digital environments (DEs) is an important topic in computer graphics. This paper describes a method utilizing compute shaders to implement dynamic manipulation of meshes to realistically simulate how loosely packed snow, or other transformable surfaces, behave when it is stepped on or otherwise manipulated by objects or agents in a VE. Additional features of the method include accumulation over time, wind direction, and other phenomena that serve to facilitating the simulation. Conditions of the environment were tested using physically-based reinforcement learning (RL) agents walking and running around the VE, leaving behind trails in the snow, to assess computational efficiency and robustness. Results show that the system is robust and computationally efficient running at +30 frames per second (FPS) with up to 100 agents under various conditions. Visual inspection of imagery which was captured during the tests also indicates possibilities in creating larger areas in which the snow has been altered in realistic human-like patterns.

Real-time Interactive Snow Simulation using Compute Shaders in Digital Environments

Planar character animation using genetic algorithms and GPU parallel computing

We present efficient rendering of opaque, sparse, voxel environments with data amplified in local graphics memory with stream-out from a geomery shader to a cached vertex buffer pool. We show that our Poxel rendering primitive aligns with optimized rasterization hardware and so results in high visual quality over ray casting methods. Lossless run length encoding of occlusion culled voxels and coordinate quantization further reduces host data transfers.

Poxels: polygonal voxel environment rendering

This article explores the value and measurable effects of hard and soft skills in academia when teaching and developing abilities for the game industry. As we discuss, each individuals engagement with the subject directly impacts their performance; which is influenced by their 'soft' skill level. Students that succeed in mastering soft skills earlier on typically have a greater understanding and satisfaction of the subject (able to see the underlying heterogeneous nature of the material). As soft and hard skill don't just help individuals achieve their goals (qualifications), they also change their mindset. While it is important to master both hard and soft skills, often when we talk about the quality of education (for game development); the measure is more towards quantitative measures and assessments (which don't always sit well with soft skills). As it is easy to forget, in this digital age, that 'people' are at the heart of video game development. Not just about 'code' and 'technologies'. There exists a complex relationship between hard and soft skills and their dual importance is crucial if graduates are to succeed in the game industry. 

/pdf/the-hard-truth-about-soft-skills-in-game-development-3aqyxjlx.pdf

The Hard Truth about Soft Skills in Game Development

This paper presents a novel approach for exploring diverse and expressive motions that are physically correct and interactive. The approach combining user participation in with the animation development process using crowdsourcing to remove the need for data-driven libraries while address aesthetic limitations. A core challenge for character animation solutions that do not use pre-recorded data is they are constrained to specific actions or appear unnatural and out of place (compared to real-life movements). Character movements are very subjective to human perception (easily identify underlying unnatural or strange patterns with simple actions, such as walking or climbing). We present an approach that leverage's crowdsourcing to reduce these uncanny artifacts within generated character animations. Crowdsourcing animations is an uncommon practice due to the complexities of having multiple people working in parallel on a single animation. A web-based solution for analysis and animation is presented in this paper. It allows users to optimize and evaluate complicated character animation mechanism conveniently on-line. The context of this paper introduces a simple animation system, which is integrated into a web-based solution (JavaScript/HTML5). Since Web browser are commonly available on computers, the presented application is easy to use on any platform from any location (easy to maintain and share). Our system combines the expressive power of web pages for visualising content on-the-fly with a fully fledged interactive (physics-based) animation solution that includes a rich set of libraries. 

Optimizing Character Animations using Online Crowdsourcing

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