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	1. A Novel Binary Image Representation Algorithm by Using NAM and Coordinate Encoding Procedure and its Application to Area Calculating
	ZHENG Yunping,Mudar Sarem
	Information Science and System Science 02 April 2013
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:In this paper, we propose a novel binary image representation algorithm by using the Non-symmetry and Anti-packing Model (NAM) and the Coordinate Encoding Procedure, which is called NAMCEP. By taking some idiomatic standard binary images in the field of image processing as typical test objects, and by comparing our proposed NAMCEP representation with the linear quadtree (LQT) representation and the binary tree (Bintree) representation, the experimental results presented in this paper show that the NAMCEP can not only reduce the average node numbers by 75.99% and 68.22% than the LQT and the Bintree, respectively, but also can simultaneously improve the average compression ratios by 422.44% and 163.62% than the LQT and the Bintree, respectively. Therefore, our proposed NAMCEP representation algorithm of binary images is much more effective than the LQT and the Bintree representation algorithms. As an application of the NAMCEP representation, we also present a novel NAMCEP-based algorithm for area calculating. The experimental results presented in this paper also show that the average executing time improvement ratio for area calculating of the proposed NAMCEP representation over that of the LQT representation and the Bintree representation is 71.92% and 65.91%, respectively. Therefore, our proposed NAMCEP-based algorithm for area calculating is much faster than the LQT-based algorithm and the Bintree-based algorithm for area calculating.
	TO cite this article:ZHENG Yunping,Mudar Sarem. A Novel Binary Image Representation Algorithm by Using NAM and Coordinate Encoding Procedure and its Application to Area Calculating[OL].[ 2 April 2013] http://en.paper.edu.cn/en_releasepaper/content/4533913


	2. On String Languages Generated by Spiking Neural P Systems with Exhaustive Use of Rules
	Zhang Xingyi,Zeng Xiangxiang,Pan Linqiang
	Information Science and System Science 02 April 2008
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	Abstract:We continue the study of spiking neural P systems with exhaustive use of rules by considering these computing devices as language generators, where a step is associated with a symbol according to the number of spikes emitted by the output neuron and the sequence of these symbols associated with a halting computation of a given system constitutes a string. About string languages generated by spiking neural P systems with exhaustive use of rules, two cases are considered, one is interpreting a step as a new symbol when no spike is emitted, the other is interpreting it as the empty string. In all these cases, it is proved that finite and recursively enumerable languages are characterized by spiking neural P systems in exhaustive mode. Moreover, the relationships with regular languages are also investigated.
	TO cite this article:Zhang Xingyi,Zeng Xiangxiang,Pan Linqiang. On String Languages Generated by Spiking Neural P Systems with Exhaustive Use of Rules[OL].[ 2 April 2008] http://en.paper.edu.cn/en_releasepaper/content/20057


	3. A Novel Encoding Architecture of QC-LDPC Codes Based on RAMs
	Zhang Wenjun ,Chen Liming
	Information Science and System Science 06 December 2007
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	Abstract:In this paper, a method to mend the encoding architecture based on RAMS is presented for systematic-circulant (SC) form QC-LDPC codes. In this advanced architecture of QC-LDPC Codes Encoder, the RAMs are advisably used to store the parity-check bits and the pointers are introduced as the addresses of the RAMs instead of shift registers used for storing the generator of . Thus, the encoding process can be achieved by reading and writing on RAMs and the parity-check bits can be output serially. Because the encoding architecture doesn’t need any shift registers and parallel to serial circuit, hardware resource is saved and the data throughput is increased.
	TO cite this article:Zhang Wenjun ,Chen Liming . A Novel Encoding Architecture of QC-LDPC Codes Based on RAMs[OL].[ 6 December 2007] http://en.paper.edu.cn/en_releasepaper/content/16757

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