中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共3条，第1-3条

帮助

条数/页：排序方式：
	Molecularly imprinted polymer-based potentiometric sensors 期刊论文 OAI收割 TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2020, 卷号: 130, 页码: 15 作者: Wang, Junhao; Liang, Rongning; Qin, Wei \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2021/06/21 Molecularly imprinted polymer Polymeric membrane potentiometric sensor Organic molecules Biological species Recent advances Research directions
	Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：51/0 \| 提交时间：2013/03/25 An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image thus facilitating accurate diagnosis of course at the expense of higher bit rates i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization wavelet coding neural networks and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1 or even more) they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image but the achievable compression ratios are only of the order 2:1 up to 4:1. In our paper we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance so that all the low rate codes are included at the beginning of the bit stream. Typically the encoding process stops when the target bit rate is met. Similarly the decoder can interrupt the decoding process at any point in the bil stream and still reconstruct the image. Therefore a compression scheme generating an embedded code can start sending over the network the coarser version of the image first and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.
	Study of navigation based on intelligent avatar with mobile virtual reality 会议论文 OAI收割 IET International Conference on Wireless Mobile and Multimedia Networks Proceedings, ICWMMN 2006,, Hangzhou, China, November 6, 2006 - November 9,2006 Jun, Ma; Hengjun, Zhu; Jianhua, Gong Source 收藏 \| 浏览/下载：36/0 \| 提交时间：2014/12/07 Recent advances in wireless communications and the hardware performance of handset devices make possible the combination of navigation technology with mobile virtual reality (MVR). In this paper we describe a navigation method that uses intelligent avatar (IA) and been realized in a distributed architecture. In the method complicated A* wayfinding algorithm is applied to obtain the set of smell points (SSP) on PC server (PCS) thereafter handset client (HC) will receive the SSP via wireless network and create an IA to lead the user along the route controlled by the SSP. During navigation the IA can apperceive the status of user's avatar in virtual environment regularly and then adjust its travel speed in order to complete harmoniously the navigation task for the user. Furthermore the rendering of IA adopts the technology of dynamic impostor and the method of distributed rendering. In order to reduce the occupation of wireless network bandwidth we present two methods and name them as levels of action (LOA) and simple texture compression.