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A Real-Time Multi-Stage Architecture for Pose Estimation of Zebrafish Head with Convolutional Neural Networks

Journal of Computer Science & Technology 2021年第2期36卷 434-444页

作者： Zhang-Jin Huang Xiang-Xiang He Fang-Jun Wang Qing Shen School of Computer Science and Technology University of Science and Technology of ChinaHefei 230027China School of Data Science University of Science and Technology of ChinaHefei 230027China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230027China

In order to conduct optical neurophysiology experiments on a freely swimming zebrafish,it is essential to quantify the zebrafish head to determine exact lighting *** efficiently quantify a zebrafish head's behaviors with limited resources,we propose a real-time multi-stage architecture based on convolutional neural networks for pose estimation of the zebrafish head on *** stage is implemented with a small neural ***,a light-weight object detector named Micro-YOLO is used to detect a coarse region of the zebrafish head in the first *** the second stage,a tiny bounding box refinement network is devised to produce a high-quality bounding box around the zebrafish ***,a small pose estimation network named tiny-hourglass is designed to detect keypoints in the zebrafish *** experimental results show that using Micro-YOLO combined with RegressNet to predict the zebrafish head region is not only more accurate but also much faster than Faster R-CNN which is the representative of two-stage *** with DeepLabCut,a state-of-the-art method to estimate poses for user-defined body parts,our multi-stage architecture can achieve a higher accuracy,and runs 19x faster than it on CPUs.

关键词： convolutional neural network pose estimation real-time zebrafish

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An artificial endocrine-emotion model based on fuzzy logic 1

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International Conference on Information Engineering and Applications, IEA 2011

作者： Liang, Jianwei Dong, Dayuan Wang, Xufa Department of Computer Science and Technology Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology of China Hefei China

ISBN: (数字)9781447123866

ISBN: (纸本)9781447123859

For the past few years, the research of intelligence model based on biologicalinformation processing mechanisms has become an important area of artificial intelligence. The biological information processing system is mainly composed of nervous system, immune system and endocrine system. There is not only large loop among them, but also direct reciprocity, which plays an important role in the growing development and metabolism of organisms and maintains their vital movement together. As an important part of information processing system in living organisms, the endocrine system contains very complex and particular information processing mechanisms, including hormonal regulation mechanism, information delivery mechanism and emotion reacting mechanism. Extracting these mechanisms which are peculiar to endocrine system and establishing corresponding models and algorithms has important research value, which has been a hot issue in the research field of artificial intelligence. Shibata presented a hormone-like mechanism with an emphasis on human-robot interaction. Shen proposed a bio-inspired control method called Digital Hormone Model (DHM) to control the tasking and executing of robot swarms based on local communication,signal propagation, and stochastic reactions. Neal and Timmis put forward artificial endocrine system (AES) for the first time in 2003. They proposed an artificial homeostasis system later. Motivated by the high-level regulation mechanism of endocrine system, an agent self-organization algorithm of behavior was put forward. A hormone based tracking strategy for mobile target tracking in wireless sensor networks was presented. © 2012 Springer-Verlag London Limited.

关键词： Stochastic systems

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Interactive PBIL with multiple probability vectors for multimodal optimization with implicit performance indices

Interactive PBIL with multiple probability vectors for multi...

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2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010

作者： You, Haifeng Wang, Xufa Department of Computer Science and Technology Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology of China Hefei China

ISBN: (纸本)9781424463503

Interactive population-based incremental learning (IPBIL) is an effective method to solve optimization problems with implicit performance indices. It can significantly reduce user fatigue compared with interactive evolutionary computation (IEC). However, each run of IPBIL can only find one solution or some similar solutions. Thus it is not suitable for multimodal optimization problems with implicit performance indices. To solve this problem, we propose an IPBIL with multiple probability vectors (IPBIL-MPV) in this work. The key idea is to utilize multiple probability vectors to catch different search directions and thus find more than one solutions. We perform a subjective experiment in which IPBIL-MPV is applied to a fashion design problem. The experimental results show that IPBIL-MPV can find several distinct solutions in a run. Thus it is an effective method to solve multimodal optimization problems with implicit performance indices. © 2010 IEEE.

关键词： Probability

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A hybrid particle swarm optimization for high-dimensional dynamic optimization 11th

A hybrid particle swarm optimization for high-dimensional dy...

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11th International Conference on Simulated Evolution and Learning, SEAL 2017

作者： Luo, Wenjian Yang, Bin Bu, Chenyang Lin, Xin Anhui Province Key Laboratory of Software Engineering in Computing and Communication School of Computer Science and Technology University of Science and Technology of China HefeiAnhui230027 China

ISBN: (纸本)9783319687582

High-Dimensional Dynamic Optimization Problems (HDDOPs) commonly exist in real-world applications. In evolutionary computation field, most of existing benchmark problems, which could simulate HDDOPs, are non-separable. Thus, we give a novel benchmark problem, called high-dimensional moving peaks benchmark to simulate separable, partially separable, and non-separable problems. Moreover, a hybrid Particle Swarm Optimization algorithm based on Grouping, Clustering and Memory strategies, i.e. GCM-PSO, is proposed to solve HDDOPs. In GCM-PSO, a differential grouping method is used to decompose a HDDOP into a number of sub-problems based on variable interactions firstly. Then each sub-problem is solved by a species-based particle swarm optimization, where the nearest better clustering is adopted as the clustering method. In addition, a memory strategy is also adopted in GCM-PSO. Experimental results show that GCM-PSO performs better than the compared algorithms in most cases. © Springer International Publishing AG 2017.

关键词： Particle swarm optimization (PSO)

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RETRACTED ARTICLE: A hormone-modulated emotional model

RETRACTED ARTICLE: A hormone-modulated emotional model

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作者： Liang, Jianwei You, Haifeng Wang, Xufa Department of Computer Science and Technology Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology of China Hefei China

ISBN: (纸本)9781424463503

Emotions are an important aspect of human intelligence and have been shown to play a significant role in human decision-making process. Researchers in areas such as psychology, neuroscience, cognitive science and artificial intelligence have proposed a variety of emotional models. However, most of the previous models have not solved the complexity of the human emotional system owing to the lack of an effective regulatory mechanism for controlling the emotions. To address the limitation, a hormone-modulated emotional model (HMEM) is presented. Since emotions are imprecise and uncertain in nature, fuzzy logic is employed in the computation of new emotion intensity. The reported experiments test HMEM within a simulated autonomous agent situated in a dynamic environment. Experimental results show that both the hormonal system and emotional system contribute positively to the survival of the agent. © 2010 IEEE.

关键词： Fuzzy logic

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A novel approach for signal transduction networks simulation at a mesoscopic level

A novel approach for signal transduction networks simulation...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Shao, Chenxi Deng, Hongli MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei Anhui 230027 China Department of Computer Science and Technology University of Science and Technology of China Hefei Anhui 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China

ISBN: (纸本)1424415098

Signal transduction (ST) networks simulation is important to medical research. However, owing to the complexity of the networks, most methods presented for the simulation are not desirable. Here, based on multi-agent system (MAS), we proposed a novel approach characterized by a multi-level discrete space and mesoscopic molecule-agents for describing ST networks at a mesoscopic level. The space is developed for the representation of the cellular space;it provides a relatively sufficient spatial representation with less computational cost. The mesoscopic molecule-agents model the active components within the networks, which will offer new potentials to overcome the combinatorial complexity as well as make computation feasible. To validate this method, the simulations of a composition/decomposition system and the Mitogen-Activated Protein Kinase (MAPK) signal transduction pathway are implemented. Finally, an in-silico experiment with perturbation in the MAPK pathway is made. The results obtained from the simulations demonstrate the validity of the approach. ©2007 IEEE.

关键词： Molecules

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Multi-question negative surveys 3rd

Multi-question negative surveys

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3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018

作者： Jiang, Hao Luo, Wenjiang Anhui Province Key Laboratory of Software Engineering in Computing and Communication School of Computer Science and Technology University of Science and Technology of China HefeiAnhui230027 China

ISBN: (纸本)9783319938028

The negative survey is an emerging method of collecting sensitive information. It could obtain the distribution of sensitive information while preserving the personal privacy. When collecting sensitive information, several questions are often provided together to the respondents. However, when reconstructing positive survey results of multiple questions, previous reconstruction methods have some shortcomings. In this paper, we propose a new reconstruction method for multi-question negative surveys. Experimental results show that our method could obtain more reasonable results. © Springer International Publishing AG, part of Springer Nature 2018.

关键词： Surveys

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Mac address assignment in wireless sensor networks: A mixed strategy game approach

Mac address assignment in wireless sensor networks: A mixed ...

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2nd International Conference on Systems and Networks communications, ICSNC 2006

作者： Kun, Tu Kun, Bi Naijie, Gu Wanli, Dong Xiaohu, Liu Department of Computer Science and Technology University of Science and Technology of China Hefei Anhui 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China

ISBN: (纸本)0769526993

In this paper, we address the problem of MAC address assignment in wireless sensor networks. A novel scheme for MAC address assignment is proposed to reduce the overhead. We model the problem from the game theoretical view, prove there exists a mixed strategy Nash equilibrium in the model, and propose a distributed address assign algorithm to achieve the equilibrium, which takes the advantage of the exploitation of spatial address reuse to save energy. Simulation results demonstrate that our algorithm is efficient even for very large-scale networks, which makes it a potential candidate for practical applications. © IEEE.

关键词： Medium access control

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Topological hole detection in sensor networks with cooperative neighbors

Topological hole detection in sensor networks with cooperati...

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2nd International Conference on Systems and Networks communications, ICSNC 2006

作者： Kun, Bi Kun, Tu Naijie, Gu Wanli, Dong Xiaohu, Liu Department of Computer Science and Technology University of Science and Technology of China Hefei Anhui 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China

ISBN: (纸本)0769526993

In a wireless sensor network, the regions in which a large percentage of sensor nodes are not available may form holes in the network. In holes, sensor nodes may be depleted or not dense enough to communicate with others. So those holes may degrade some applications' performances in sensor networks. In this paper, we study the problem of detecting topological holes in sensor networks with no localization information in any node. We present a distributed cooperative scheme which is only based on the communication topology graph. To identify holes, each node only needs to exchange information with its 1-hop and 2-hop neighbors. With the cooperation of its 2-hop neighbors, each node could independently decide whether it is on the boundary of a hole. Experimental results demonstrate that our algorithm could indeed capture the characteristics of those boundary nodes and describe those holes in sensor networks of moderate node densities. © IEEE.

关键词： Wireless sensor networks

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A Hybrid of the prefix algorithm and the q-hidden algorithm for generating single negative databases

A Hybrid of the prefix algorithm and the q-hidden algorithm ...

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IEEE Symposium on computational Intelligence in Cyber Security

作者： Liu, Ran Luo, Wenjian Wang, Xufa School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Anhui Key Laboratory of Software Engineering in Computing and Communication Hefei 230027 Anhui China

ISBN: (纸本)9781424499069

The negative database (NDB) is a complement of the corresponding database. The NDB could protect the privacy of the data, but it should be complete and hard-to-reverse. However, existent techniques cannot generate the complete and hard-to-reverse negative database. In this paper, a hybrid method is proposed to generate single negative databases. The proposed hybrid method includes two phases. Firstly, a complete negative database with a small size is generated by the transformation of the prefix algorithm. Secondly, a hard-to-reverse negative database, which is generated with the q-hidden method, is added into the small complete negative database. Therefore, the hybrid negative database is both complete and hard-to-reverse. Experiment results show that the NDB generated by the hybrid method is better than the NDB generated by the typical q-hidden method. Especially, the NDB generated by the q-hidden method can be reversed on average when the string length is 300. However, the NDB generated by the hybrid method cannot be reversed on average when the string length is 150. © 2011 IEEE.

关键词： Database systems

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