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	1. Stability of 2-D discrete system in general model: a frequency-partitioning approach
	GAO Jing-Bo, WANG Wei-Qun
	Information Science and System Science 25 March 2016
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:In this paper, the problem of stability two-dimensional discrete systems in general model are investigated. From the stability criterion in frequency domain interval, new sufficient conditions of asymptotic stability are derived in terms of linear matrix inequalities (LMIs). Then via a frequency-partitioning approach, the conditions are improved and have less conservatism. Simulation results are given to illustrate the proposed method.
	TO cite this article:GAO Jing-Bo, WANG Wei-Qun. Stability of 2-D discrete system in general model: a frequency-partitioning approach[OL].[25 March 2016] http://en.paper.edu.cn/en_releasepaper/content/4682162


	2. An Element-based Model for Multi-document Summarization
	RONG Nan
	Information Science and System Science 21 March 2016
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:The increasing availability of online information has necessitated intensive research in the area of automatic text summarization. In this paper, we propose an element-based model for multi-document summarization. First, we propose to model sentences from perspective of five major elements. Second, we cluster words according to their similarity computed through Word Affinity Force model. Third we propose a novelty detection algorithm to select sentences for summary. The experiment on the real-world data shows that the proposed model can find the key points of a document and generate fluent sentences.
	TO cite this article:RONG Nan. An Element-based Model for Multi-document Summarization[OL].[21 March 2016] http://en.paper.edu.cn/en_releasepaper/content/4681685


	3. Simultaneous generation of multiple time-delay-signature eliminated chaos in ring network of coupled semiconductor lasers with heterogeneous delays
	XIANG Shuiying,WEN Aijun,LIN Lin,ZHANG Huixing,ZHANG Hao,GUO Xingxing,LI Jiafu
	Information Science and System Science 17 March 2016
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:The time delay signature (TDS) properties in ring network of three mutually coupled semiconductor lasers (MCSLs) are investigated quantitatively. The evolution pattern of TDS, which is quantified via the auto-correlation function, for ring network with identical coupling delays as well as with heterogeneous coupling delays are discussed and compared. The effects of coupling strength, frequency detuning and injection current are mainly examined. The parameter regions contributing to successful TDS concealment are identified. It is found that, three sets of chaotic signals with TDS concealment can be simultaneously generated in ring network of three MCSLs under certain condition, and the TDS is mainly affected by injection current and coupling strength, but is not so sensitive to the frequency detuning. To obtain low TDS, larger injection current and smaller coupling strength are desired. Besides, by intentionally introducing heterogeneous coupling delays in the ring network, the TDS can be better concealed in much wider parameter regions compared to the network with identical coupling delays, which is highly desirable for the chaos-based random bit generators.
	TO cite this article:XIANG Shuiying,WEN Aijun,LIN Lin, et al. Simultaneous generation of multiple time-delay-signature eliminated chaos in ring network of coupled semiconductor lasers with heterogeneous delays[OL].[17 March 2016] http://en.paper.edu.cn/en_releasepaper/content/4681167


	4. Handover Performance Improvement in Small Cell Networks using Neighboring Cell List Optimization
	CHEN Shu-Jing, ZHOU Hui-Yang
	Information Science and System Science 11 March 2016
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	Abstract:In dense small cell networks, the coverage of a typical cell is small and handover is expected to happen frequently when user moves. Thus a two stage neighboring cell list (NCL) selection (TSNS) algorithm is proposed to improve handover performance. In the first stage, TSNS updates cell specific preferences of neighboring cells based on the load, signal quality and resource utilization of the target cells. In the second stage, user specific preference is calculated considering the received signal quality, surviving time and moving direction of user. Cell specific and cell user specific preferences are merged to construct the resultant NCL. Compared with existing methods which adopt the same NCL for all users in a cell, the novelty of TSNS is that different users can have different NCLs. Simulation results prove that TSNS can yield short NCL list while ensuring good handover performance.

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