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	1. Optimizing Sliding Performance in iOS
	Zhao Qin,Wang Jing,Shen Qi Wei,Wang Jing Yu,Qi Qi
	Computer Science and Technology 23 November 2017
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	Abstract:How to improve iOS sliding performance has always been the focus of iOS application optimization. This paper analyzes the principle of AutoLayout and Frame view layout, the opportunity of network loading, CPU and GPU performance consumption during sliding process. First, we provide the appropriate solution to avoid using AutoLayout, and adjust the time of network loading by preloading to reduce the waiting time dynamically. Pre-cache and asynchronous rendering to reduce the main thread CPU consumption is implemented to reduce the main thread CPU consumption, and at the same time, GPU consumption is reduced by asynchronous rendering. Finally, verify the feasibility and effectiveness of the optimization scheme by experiments. It is verified that the percentage of the main thread CPU consumption decreases by 17.2% and FPS increases from 37Hz to 60Hz.
	TO cite this article:Zhao Qin,Wang Jing,Shen Qi Wei, et al. Optimizing Sliding Performance in iOS[OL].[23 November 2017] http://en.paper.edu.cn/en_releasepaper/content/4742034


	2. A Dialog Robot Based on WeChat
	Xiaoyi Chen,Jing Wang,Qiwei Shen,Qi Qi,Jingyu Wang
	Computer Science and Technology 12 November 2017
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	Abstract:WeChat is one of the most popular instant messaging applications in the world. It has now become an important access to variety business systems for billions of users. so the vast majority of companies want to provide their business services onto WeChat in order to gain advantage in fierce market competitions. However, as far as we know, today it is not easy to access WeChat with business service. In this paper, we propose a framework to integrate business services and WeChat. On the basis of this framework, companies or entrepreneurs can provide their business services on WeChat easily. Finally, we use a case study to demonstrate how our service can be used in helping tickets sells and statistical analysis.
	TO cite this article:Xiaoyi Chen,Jing Wang,Qiwei Shen, et al. A Dialog Robot Based on WeChat[OL].[12 November 2017] http://en.paper.edu.cn/en_releasepaper/content/4741918

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	3. SFAPS:anRpackage for Structure/Function Analysis of Protein Sequences based on Informational Spectrum Method
	Su-Ping Deng,De-Shuang Huang
	Computer Science and Technology 05 June 2014
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	Abstract:The R package SFAPS has been developed for structure/function analysis of protein sequences based on information spectrum method. The informational spectrum method employs the electron-Ion interaction potential parameter as the numerical representation for the protein sequence, and obtains the characteristic frequency of a particular protein interaction after computing the Discrete Fourier Transform for protein sequences. The informational spectrum method is often used to analyze protein sequences, so we developed this software tool, which is implemented as an add-on package to the freely available and widely used statistical language R. Our package is distributed as open source code for Linux, Unix and Microsoft Windows. It is released under the GNU General Public License. The R package along with its source code and additional material are freely available at http://mlsbl.tongji.edu.cn/DBdownload.asp.
	TO cite this article:Su-Ping Deng,De-Shuang Huang. SFAPS:anRpackage for Structure/Function Analysis of Protein Sequences based on Informational Spectrum Method[OL].[ 5 June 2014] http://en.paper.edu.cn/en_releasepaper/content/4596118


	4. An Integrated Strategy for Functional Analysis of Microbial Communities Based on Gene Ontology and 16S rRNA Gene
	Su-Ping Deng,De-Shuang Huang
	Computer Science and Technology 22 May 2014
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	Abstract:In order to analyze the similarity among microbial communities on functional state after assigning 16S rRNA sequences from all microbial communities to species. It's an important addition to the species-level relationship between two compared communities, and can quantify their differences in function. We downloaded all functional annotation data of several microbiotas. It's developed to identify the functional distribution and the significantly enriched functional categories of microbial communities. We analyzed the similarity between two microbial communities on functional state. In the experimental results, it shows that the semantic similarity can quantify the difference between two compared species on function level. It can analyze the function of microbial communities by Gene Ontology based on 16S rRNA gene. Exploration of the function relationship between two sets of species assemblages will be a key result of microbiome studies and may provide new insights into assembly of a wide range of ecosystems.
	TO cite this article:Su-Ping Deng,De-Shuang Huang. An Integrated Strategy for Functional Analysis of Microbial Communities Based on Gene Ontology and 16S rRNA Gene[OL].[22 May 2014] http://en.paper.edu.cn/en_releasepaper/content/4596115


	5. A Simple Rule for the Evolution of Social Networks: Attraction and Repulsion between Individuals
	CHEN Zhaodi
	Computer Science and Technology 05 March 2014
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	Abstract:Modeling the evolution of networks is important to understand complex systems. Considering network structure and individual attributes, a force-based model is proposed to simulate the evolution of social networks. Each node is endowed with a series of attributes. We construct a multi-dimensional space as the evolution environment. An attribute vector represents a position in the space. Individuals interact with each other obeying a simple rule that each node tends to move to a low energy position driven by attraction from its immediate neighbors and repulsion from all other nodes. So the evolution can be viewed as interaction among nodes, moving close or far away. A new position means a change of attributes. Network structure updates at last of each round. Edge exists only when its two endpoints' similarity distance is lower than a threshold. We validate the model and simulations show that though individual attributes change, the network keeps the power-law degree distribution and clusters emerge in the process of evolution.
	TO cite this article:CHEN Zhaodi. A Simple Rule for the Evolution of Social Networks: Attraction and Repulsion between Individuals[OL].[ 5 March 2014] http://en.paper.edu.cn/en_releasepaper/content/4587432


	6. An improved event-handling model of event-driven SOC platform
	NI Mingzhi,Gao Qiang
	Computer Science and Technology 10 October 2011
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	Abstract:SOA implementations based on request/reply model lack certain loose coupling and cooperativity. Event-Driven Architecture (EDA) is particularly suitable for loosely coupled communications. By introducing Event-Driven paradigm into Service-Oriented Architecture, the system can achieve loose couple communication and cooperativity. But the traditional event-handling model can not cope with highly complex and dynamic real-time business issues and can not provide flexible publish and subscribe. This paper presents an improved event-handling model, which introduces event filter to filter the events in order to get the service according to the consumer's interest. The model will be used widely due to its flexible response to users' request through customizable rules generated by rule controller. The algorithm used in rule controller is not concerned about in this paper.
	TO cite this article:NI Mingzhi,Gao Qiang. An improved event-handling model of event-driven SOC platform[OL].[10 October 2011] http://en.paper.edu.cn/en_releasepaper/content/4444587


	7. A Prediction of Speech Volume Based on Support Vector Machine
	Han Huimin
	Computer Science and Technology 16 April 2007
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	Abstract:Support Vector Machine (SVM) is a new tool in virtue of optimization to resolve machine learning problems, and a new technique in DataMining area. Support Vector Machine (SVM) is a new common learning approach developed by Vapnik and others on basis of statistical learning theory in recent years. It is based on the structural risk minimization criteria. This paper presents the principle and algorithm of SVR (Support Vector Regression). The application of SVR to the analysis and prediction of speech volume increases efficiency. The satisfied result of emulation shows that the method of SVR is advanced and with high accuracy and good generalization.
	TO cite this article:Han Huimin. A Prediction of Speech Volume Based on Support Vector Machine[OL].[16 April 2007] http://en.paper.edu.cn/en_releasepaper/content/12231


	8. Adaptive Multicast in Wireless Networks
	Keke Cai,Huaizhong Lin
	Computer Science and Technology 30 November 2005
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	Abstract:In this paper, we investigated an efficient multicast scheme in wireless networks, which can automatically identify the changes of clients’ preferences. Our scheme utilizes clustering technique to realize the group of similar clients. The goal of our method is to dynamically present information tailored to specific groups of clients and ensure that the multicast information clients received can satisfy their interests.
	TO cite this article:Keke Cai,Huaizhong Lin. Adaptive Multicast in Wireless Networks[OL].[30 November 2005] http://en.paper.edu.cn/en_releasepaper/content/3896

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