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Generating suitable game scenarios that can cater for individual players has become an emerging challenge in procedural content generation. In this paper, we propose a data-driven scenario generation framework for game-based training. An evolutionary scenario generation process is designed with a fitness evaluation methodology that integrates the processes of AI player modeling, simulation and model...
This paper firstly introduces elementary knowledge of bio-electromagnetic dose, and then elaborates on the method and steps of theoretical bio-electromagnetic dose used to compute the electromagnetic dose absorbed by human body at the frequency 300MHz and 3GHz. Afterwards, the finite-difference time-domain (FDTD) method is utilized to analyze the dielectric property and calculate the specific absorption...
In this paper, we present a dynamic adaptation framework to adapt the game scenarios for a multi-agent training game. We consider the problem where a trainee has to practice along multiple objectives during the training, and each objective is assigned with a desired difficulty level. The proposed dynamic adaptation approach takes into account of individual player's playing ability as well as the dynamic...
Dynamic adaptation of games with the objective of catering to the individual players' level of standard is an emerging and challenging research area of artificial intelligence in digital game. In this paper, we propose a data-driven approach for dynamic adaptation of game scenario difficulties. The goal is to fit the performance of the player to the desired conditions set by the designer. To this...
Moving objects detection plays a critical role in computer vision application, since it usually is the first phase in video processing. Most traditional methods are used in static scenes, however not perform well in dynamic situations, or they can only overcome limited perturbation. In this paper, we propose a stereo local binary pattern based on appearance and motion (SLBP-AM) descriptor for back-ground...
We propose a dual hash tables algorithm which can realize the durable top-k search. Two hash tables are constructed to keep the core information, such as score and time in the inverted lists. We use the key-value relationships between the two hash tables to calculate the scores which measure the correlations between a keyword and documents, and search the versioned objects that are consistent in the...
Auto Rack Girder Detection System based on image mosaicing technique for aerial images were studied. Phase correlation method is used to complete Rack Girder image mosaicing. With Fast Fourier Transform of images, the phase information in frequency domain is used to realize image mosaicing. Considering a lot of Sequence Images having features need to be real-time stitched, improved Fourier field stitching...
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