Virtual environments (VEs) allow users to experience and interact with a rich sensory environment, but most virtual worlds contain only sensory information similar to that which we experience in the physical world. In...
详细信息
This undergraduate student paper explores usage of mixed reality techniques as support tools for conceptual design. A proof-of-concept was developed to illustrate this principle. Using this as an example, a small grou...
详细信息
This study illuminates human papillomavirus (HPV) vaccine hesitancy in rural America and explores the potential of using chatbot-enabled social media interventions. The results from our nationally representative surve...
详细信息
Given a set of radio broadcast programs, the radio broadcast scheduling problem is to allocate a set of devices to transmit the programs to achieve the optimal sound quality. In this article, we propose a complete alg...
详细信息
Given a set of radio broadcast programs, the radio broadcast scheduling problem is to allocate a set of devices to transmit the programs to achieve the optimal sound quality. In this article, we propose a complete algorithm to solve the problem, which is based on a branch-and-bound(BnB) algorithm. We formulate the problem with a new model, called constrained maximum weighted bipartite matching(CMBM),i.e., the maximum matching problem on a weighted bipartite graph with constraints. For the reduced matching problem, we propose a novel BnB algorithm by introducing three new strategies, including the highest quality first, the least conflict first and the more edge first. We also establish an upper bound estimating function for pruning the search space of the algorithm. The experimental results show that our new algorithm can quickly find the optimal solution for the radio broadcast scheduling problem at small scales, and has higher scalability for the problems at large scales than the existing complete algorithm.
Color is one of the most important low-level features used in image analysis and retrieval. In this paper we introduce an algorithm for extracting compact color feature in the CIELAB color space. Our method is based o...
详细信息
ISBN:
(纸本)9781932415957
Color is one of the most important low-level features used in image analysis and retrieval. In this paper we introduce an algorithm for extracting compact color feature in the CIELAB color space. Our method is based on an ant colony clustering algorithm, which helps us develop a perceptually based image similarity metric. We propose a dominant color and area percentage model, which provides a very compact color feature representation of images. Besides image similarity metric is developed based on dominant colors matching. The algorithm introduced in this paper is well suited for creating small color descriptors and is efficient. It is suitable for image representation, matching and retrieval. It also has some important advantages for content-based image retrieval system, such as great reduction of the feature file sizes needed for storage and indexing.
The contents of this paper include the design methodology of perceptual computing products, the innovative design of the AR writing and its technical feasibility, the writing interactive experience test of different h...
详细信息
Device-assisted navigation is rapidly becoming a major topic in computerscience. PDAs and other small devices are enabling the introduction of navigational assistants to many different spaces. These areas are general...
详细信息
Heuristic evaluation is widely used for single-user computer systems, but research is ongoing to find a valid set of heuristics that can be applied to synchronous multiuser, or collaborative, computing systems. I have...
详细信息
暂无评论