Multi-sensor and information fusion technology based on Dempster-Shafer evidence theory is applied in the system of a building fire alarm to realize early detecting and alarming. By using a multi-sensor to monitor the parameters of the fire process, such as light, smoke, temperature, gas and moisture, the range of fire monitoring in space and time is expanded compared with a single-sensor syste...

REGULAR PAPERS Analyzing Temporal Constraints for Web Services Composition Ruiqiang Yu, Zhiqiu Huang, Lin Wang, and Hongjie Zhang Canonicalization in the PrIKL Reasoner Don Libes, Antoine Gerardin, Severin Tixier, and Fabian Neuhaus Evaluation System for Evaluating the VMS Guidance Effect Chengxiang Zhuge, Chunfu Shao, Changqing Zheng, Qiao Liang, and Jian Gao A Survey on Data Security Issues i...

Large high-dimensional datasets are becoming more and more popular in an increasing number of research areas. Processing the high dimensional data incurs a high computational cost and is inherently inefficient since many of the values that describe a data object are redundant due to noise and inner correlations. Consequently, the dimensionality, i.e. the number of values that are used to descri...

In recent years the fusion of multimedia information from multiple real-time sources and databases has become increasingly important because of its practical significance in many application areas such as telemedicine, community networks for crime prevention, health care, emergency management, e-learning, digital library, and field computing for scientific exploration. To support the retrieval ...

When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...

Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-...

Helicopter crews are required to carry out a wide range of duties most of which involve operational safety. One particular flight safety problem that has relevance to a variety of different types of rotorcraft is assisting the pilot in obstacle avoidance. Obstacles, in this context, may typically include other aircraft, terrain features, buildings, bridges, overhead cables and poles. The proble...

In this article, we describe a new algorithm for the sensor fusion of imagery obtained at different bandwidths. The algorithm performs image fusion using a method based on principal components. We have demonstrated the effectiveness of the algorithm by applying it to fuse intensified CCD and infrared images.

The paper describes a general approach for scanning and visualizing panoramic (360◦) indoor scenes. It combines range data acquired by a laser range finder with color pictures acquired by a rotating CCD line camera. The paper describes coordinate systems of both sensors, specifies the fusion of range and color data acquired by both sensors, and reports on three different alternatives for visual...