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15th International Conference on Web information Systems Engineering, WISE 2014

作者： Chen, Wei Zhao, Lei Jiajie, Xu Zheng, Kai Zhou, Xiaofang School of Computer Science and Technology Soochow University China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University China School of ITEE The University of Queensland Brisbane Australia

ISBN: (纸本)9783319117485

With the proliferation of the GPS-enabled devices and mobile techniques, there has been a lot of work on trajectory search in the last decade. Previous trajectory search has focused on spatio-temporal features and text descriptions. Different from them, we study a novel problem of searching trajectories with activities and corresponding ranking information. Given a query q, which is attached with a set of activities and a threshold of distance, the results of ranking based activity trajectory search (RTS) are k trajectories such that the given activities are performed with the highest ranking within the threshold of distance. In addition, we also extend the query with an order, i.e., order-sensitive ranking based activity trajectory search (ORTS), which takes both the order of activities in a query q and the order of trajectories into account. It is challenging to answer RTS and ORTS efficiently due to the structural complexity of trajectory data with ranking information. In this paper, a hybrid index AC-tree and its optimized variant RAC-tree are proposed to achieve higher efficiency. Extensive experiments verify the high efficiency and scalability of the proposed algorithms. © Springer International Publishing Switzerland 2014.

关键词： Trajectories

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Directed diffusion algorithm based on cooperative mobile agent for wireless sensor networks

Directed diffusion algorithm based on cooperative mobile age...

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2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

作者： Shu-Kui, Zhang Zhi-Ming, Cui Sheng-Rong, Gong Sun, Yong School of Computer Science and Technology Soochow University No1 Shizhi street Suzhou Jiangsu 215006 China Jiangsu Key Laboratory of Computer Information Processing Technology Soochow University No1 Shizhi street Suzhou Jiangsu 215006 China

ISBN: (纸本)9781424421084

This paper proposed a directed diffusion algorithm based on cooperative mobile agent(MA), and considers MA in multihop environments and adopts directed diffusion to dispatch MA. The gradient in directed diffusion gives a hint to efficiently forward the MA among target sensors. MA accounts for performing data processing and making data aggregation decisions at nodes rather than bring data back to a central processor (sink).Using this algorithm, redundant sensory data will be eliminated. With appropriate parameters set, To demonstrate the feasibility of our algorithm , formal analysis and experimental results are presented, The results of our simulation show that MA based directed diffusion provides better performance than directed diffusion in terms of end-to-end delivery latency, packet delivery ratio, and energy consumption. © 2008 IEEE.

关键词： Mobile agents

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EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data 15th

EnsembleKQC: An Unsupervised Ensemble Learning Method for Qu...

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15th International Conference on Intelligent Computing, ICIC 2019

作者： Ma, Anqi Zhu, Zuolang Ye, Meiqin Wang, Fei Shanghai Key Lab of Intelligent Information Processing Shanghai China School of Computer Science and Technology Fudan University Shanghai China

ISBN: (纸本)9783030269685

Single cell RNA sequencing (scRNA-seq) provides a view of high-resolution to reveal the cellular heterogenicity. A series of analysis, such as cell-type identification, differential expression analysis, regulatory relationship detection, could uncover unprecedented biological findings. Prior to these downstream analysis, it’s crucial to remove low-quality cells because they are technical noises which weaken true biological signal and mislead downstream analysis. Existing methods either require setting threshold manually or require true labels for supervised training, which is not appropriate in many cases. We present an unsupervised ensemble learning method, which could automatically identify low-quality cells from single cell RNA-seq sequencing data. This method integrates weak classifiers base on five selected features from housekeeping genes, reads mapping rate and detected genes. To avoid setting thresholds of classifiers manually, it enumerates threshold values within a reasonable range and chooses the most suitable threshold values based on a scoring function. In experiments, it exhibits high and steady accuracy on multiple datasets. © 2019, Springer Nature Switzerland AG.

关键词： Quality control

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Linear synchronization and circuit implementation of chaotic system with complete amplitude control

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Chinese Physics B 2017年第12期26卷 124-133页

作者：李春彪 Wesley Joo-Chen Thio Julien Clinton Sprott 张若洵陆天爱 Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science & Technology Nanjing 210044 China School of Electronic & Information Engineering Nanjing University of Information Science & Technology Nanjing 210044 China Department of Electrical and Computer Engineering The Ohio State University Columbus OH 43210 USA Department of Physics University of Wisconsin-Madison Madison WI 53706 USA College of Teacher Education Xingtai University Xingtai 054001 China

Although chaotic signals are considered to have great potential applications in radar and communication engineering, their broadband spectrum makes it difficult to design an applicable amplifier or an attenuator for amplitude conditioning. Moreover, the transformation between a unipolar signal and a bipolar signal is often required. In this paper, a more intelligent hardware implementation based on field programmable analog array （FPAA） is constructed for chaotic systems with complete amplitude control. Firstly, two chaotic systems with complete amplitude control are introduced, one of which has the property of offset boosting with total amplitude control, while the other has offset boosting and a parameter for partial control. Both cases can achieve complete amplitude control including amplitude rescaling and offset boosting. Secondly, linear synchronization is established based on the special structure of chaotic system. Finally, experimental circuits are constructed on an FPAA where the predicted amplitude control is realized through only two independent configurable analog module （CAM） gain values.

关键词： complete amplitude control amplitude rescaling offset boosting linear synchronization

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Description of fuzzy first-order modal logic based on constant domain semantics

Description of fuzzy first-order modal logic based on consta...

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High-Power Diode Laser technology and Applications IV

作者： Zhang, Zaiyue Sui, Yuefei Cao, Cungen Department of Computer Science Jiangsu University of Science and Technology Zhenjiang Jiangsu 212003 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)0819461466

As an extension of the traditional modal logic, the fuzzy first-order modal logic is discussed in this paper. A description of fuzzy first-order modal logic based on constant domain semantics is given, and a formal system of fuzzy reasoning based on the semantic information of models of first-order modal logic is established. It is also introduced in this paper the notion of the satisfiability of the reasoning system and some properties associated with the satisfiability are proved. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Formal logic

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Research and application analysis of feature binding mechanism 8

Research and application analysis of feature binding mechani...

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8th IFIP International Conference on Intelligent information processing, IIP 2014

作者： Han, Youzhen Ding, Shifei School of Computer Science and Technology China University of Mining and Technology XuzhouJiangsu221116 China Key Laboratory of Intelligence Information Processing Institute of Computer Technology Academy of Sciences Beijing City100190 China

ISBN: (纸本)9783662449790

In order to recognize the object of the external world, brain need to integrate the information of different cortical areas, then form a complete world. And binding problem study on a process to percept a complete object by integrating information, which scattering on different cortical areas. As a central problem of cognitive science and neuroscience, the concept of feature binding is becoming to the focus of consciousness argument. At the beginning of this paper, we introduced the concept, characteristics and theory source of feature binding. And according to the main theoretical research methods of this mechanism, combining the latest advance at home and abroad, we made a systematical review of the research situation of feature binding problem applying in perceptual learning. At last, we pointed out the key point of the further study, which may be refined research of bundled brain mechanism on different cognition process and systematical study of general bundled brain mechanism. © IFIP International Federation for information processing 2014.

关键词： Brain

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A mobility-aware zone-based routing protocol for mobile grid computing

A mobility-aware zone-based routing protocol for mobile grid...

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2nd International Conference on Semantics, Knowledge, and Grid, SKG 2006

作者： Li, Rui Li, Renfa Yu, Fei Wen, Jigang School of Computer and Communication Hunan University Changsha 410082 China Provincial Key Laboratory of Computer Information Processing Technology Jiangsu Province Suzhou University Suzhou 150063 China

ISBN: (纸本)076952673X

Mobile grid computing is a new computing paradigm which joins classic grid computing and mobile computing paradigm to provide dependable, seamless, pervasive access to mobile resources and services. It can use the underlying connectivity and routing protocols defined by MANET in order to perform resource discovery and access. This paper proposes a mobility-aware zoned routing protocol for MANET-MAFZP, which create zones in terms of the distance between each node to the Minimum ID node. Resort to the information provided by neighborhood nodes, our proposed protocol's request delay and control overhead is descend to O(2R). In addition, this protocol classifies the mobility pattern with neighbor node and reduces routing control overhead. Simulation results show that the protocol greatly decreased routing time and control overhead. © 2006 IEEE.

关键词： Routing protocols

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An mobility-aware zone-based routing protocol for mobile grid computing

An mobility-aware zone-based routing protocol for mobile gri...

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2006 2nd International Conference on Semantics Knowledge and Grid, SKG

作者： Rui, Li Renfa, Li Fei, Yu Jigang, Wen School of Computer and Communication Hunan University Changsha 410082 China Provincial Key Laboratory of Computer Information Processing Technology Jiangsu Province Suzhou University Suzhou 150063 China

ISBN: (纸本)0769532055

关键词： Routing protocols

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Fuzzy inference mechanism based automatic elastic registration of two-dimensional gel electrophoresis images

Fuzzy inference mechanism based automatic elastic registrati...

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Deng, Zhaohong Shitong Wang Qun Gao Yonghui Pan School of Digital Media Jiangnan University Jiangsu Wuxi China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Jiangsu Suzhou China Jiangsu Engineering R and D Center for Information Fusion Software Jiangsu Jiangyin China

ISBN: (纸本)9781612841816

A key technique for protein analysis is the geometric alignment of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), i.e. 2-D PAGE image registration. In this study, according to the characteristics of 2-D gel image registration, a fuzzy-inference-rule based flexible model (FIM-FM) is proposed to model the complex geometric transformation and intensity variation between 2-D gel image pairs. Then, by introducing the concept of motion estimation and the corresponding sum-of-squared-difference (SSD) objective function, the parameter learning rules of the proposed model are derived for registration. Accordingly, an adaptive FIR-FM-based automatic elastic image registration algorithm is presented for 2-D gel image registration here. It is distinguished by its strong ability in approximating complex nonlinear transformation inherited from fuzzy inference and its efficiency and adaptability in obtaining precise model parameters through effective parameter learning rules. Our experiments show that the proposed algorithm is highly effective for registration of 2-D gel images. © 2011 IEEE.

关键词： Fuzzy inference

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Fusing magnitude and phase features with multiple face models for robust face recognition

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Frontiers of computer Science 2018年第6期12卷 1173-1191页

作者： Yan LI Shiguang SHAN Ruiping WANG Zhen CUI Xilin CHEN Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology (ICT)CASBeijing100190China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China

High accuracy face recognition is of great importance for a wide variety of real-world applications. Although significant progress has been made in the last decades, fully automatic face recognition systems have not yet approached the goal of surpassing the human vision system, even in controlled conditions. In this paper, we propose an approach for robust face recognition by fusing two complementary features: one is Gabor magnitude of multiple scales and orientations and the other is Fourier phase encoded by spatial pyramid based local phase quantization (SPLPQ). To reduce the high dimensionality of both features, block-wise fisher discriminant analysis (BFDA) is applied and further combined by score-level fusion. Moreover, inspired by the biological cognitive mechanism, multiple face models are exploited to further boost the robustness of the proposed approach. We evaluate the proposed approach on three challenging databases, i.e., FRGC ver2.0, LFW, and CFW-p, that address two face classification scenarios, i.e., verification and identification. Experimental results consistently exhibit the complementarity of the two features and the performance boost gained by the multiple face models. The proposed approach achieved approximately 96% verification rate when FAR was 0.1% on FRGC ver2.0 Exp.4, impressively surpassing all the best known results.

关键词： face recognition fisher discriminant analysis fusion Gabor magnitude feature multiple face models spatial pyramid based local phase quantization

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