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	A novel approach for assessing academic journals: Application of integer DEA model for management science and operations research field 期刊论文 OAI收割 JOURNAL OF INFORMETRICS, 2021, 卷号: 15, 期号: 3, 页码: Article Number:101176 作者: Yang, Guo-liang; Chen, Kun; Ren, Xian-tong \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2022/03/01 Integer DEA Academic journal evaluation Integer data OM journals
	Solving data envelopment analysis models with sum-of-fractional objectives: a global optimal approach based on the multiparametric disaggregation technique 期刊论文 OAI收割 ANNALS OF OPERATIONS RESEARCH, 2021, 页码: 28 作者: Xie, Jianhui; Xie, Qiwei; Li, Yongjun; Liang, Liang \| 收藏 \| 浏览/下载：58/0 \| 提交时间：2021/05/31 Data envelopment analysis Mixed-integer linear programming Global optimal solution Fractional programming
	THE PSLQ ALGORITHM FOR EMPIRICAL DATA 期刊论文 OAI收割 MATHEMATICS OF COMPUTATION, 2019, 卷号: 88, 期号: 317, 页码: 1479-1501 作者: Feng, Yong; Chen, Jingwei; Wu, Wenyuan \| 收藏 \| 浏览/下载：64/0 \| 提交时间：2019/03/01 Integer relation PSLQ empirical data
	Precise motion compensation based on weighted sub-pixel image matching (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Liang H. G. 收藏 \| 浏览/下载：40/0 \| 提交时间：2013/03/25 This paper proposed a sub-pixel image correlation algorithm that can get more Precise result its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image the relativity of correspond location where match best with template will be most high and in its neighbour range the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper some experiment data be proposed it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.
	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：66/0 \| 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.