Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234636
Xijun Zhu, Yawen Yan, X. Lu, Yijia Lu
This paper investigates the application of Genetic Algorithms (GAs) in component parameters design. From the perspective of profit per unit product, we have established the nonlinear programming model to determine the machine precision and product calibration value. After that, we solve the nonlinear programming model based on GAs, which can fix out the most appropriate component parameters to optimize the result. We conduct a comparative study between GAs and the enumeration method and give relevant analysis in the end of this paper.
{"title":"The application of Genetic Algorithms in component parameters design","authors":"Xijun Zhu, Yawen Yan, X. Lu, Yijia Lu","doi":"10.1109/ICNC.2012.6234636","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234636","url":null,"abstract":"This paper investigates the application of Genetic Algorithms (GAs) in component parameters design. From the perspective of profit per unit product, we have established the nonlinear programming model to determine the machine precision and product calibration value. After that, we solve the nonlinear programming model based on GAs, which can fix out the most appropriate component parameters to optimize the result. We conduct a comparative study between GAs and the enumeration method and give relevant analysis in the end of this paper.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122113250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234686
Wei Wei, Min Zuo, Zaiwen Liu, Jing Wang
In this article, synchronization of FitzHugh-Nagumo (FHN) neurons is considered. Adaptive controller based on active compensation is adopted to drive the slave neuron to track the master neuron. Sufficient condition for asymptotic stability of the close-loop system is derived. Numerical simulation results are given to confirm the adaptive controller is valid.
{"title":"Synchronization of FitzHugh-Nagumo systems: An adaptive approach","authors":"Wei Wei, Min Zuo, Zaiwen Liu, Jing Wang","doi":"10.1109/ICNC.2012.6234686","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234686","url":null,"abstract":"In this article, synchronization of FitzHugh-Nagumo (FHN) neurons is considered. Adaptive controller based on active compensation is adopted to drive the slave neuron to track the master neuron. Sufficient condition for asymptotic stability of the close-loop system is derived. Numerical simulation results are given to confirm the adaptive controller is valid.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122133988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234621
Wei Li, Dequan Zheng, T. Zhao, Mengda Yang
In this paper, an integrated algorithm to detect humans in thermal imagery was introduced. In recent years, histogram of oriented gradient (HOG) is a quite popular algorithm for person detection in visible imagery. We implement the pedestrian detection in infrared imagery with this algorithm by adjusting the parameters. Simultaneously, we have increased some other geometric characteristics, such as mean contrast, which is used as features for the detection. After analyzing the property of the infrared imagery, which is designed to meet the shortfall of the HOG in infrared imagery, the combined vectors are fed to a linear SVM for object/non-object classification and we get the detector at the same time. After that, the detection window is scanned across the image at multiple positions and scales, which is followed by the combination of the overlapping detections. At last, a pedestrian is described by a final detection, and we have detected the pedestrians in the thermal imagery. Experimental results with OSU Thermal Pedestrian Database are reported to demonstrate the excellent performance of our algorithms.
本文介绍了一种热图像中人的综合检测算法。定向梯度直方图(histogram of oriented gradient, HOG)是近年来比较流行的一种可见光图像人物检测算法。通过调整参数，实现了红外图像中行人的检测。同时，我们增加了一些其他的几何特征，如平均对比度，作为检测的特征。在分析了红外图像的特性后，针对红外图像HOG的不足，将组合向量馈送到线性支持向量机进行目标/非目标分类，同时得到检测器。然后，在多个位置和尺度上扫描检测窗口，然后将重叠检测组合起来。最后对行人进行最终检测，并在热图像中对行人进行检测。在OSU热行人数据库上的实验结果证明了算法的优异性能。
{"title":"An effective approach to pedestrian detection in thermal imagery","authors":"Wei Li, Dequan Zheng, T. Zhao, Mengda Yang","doi":"10.1109/ICNC.2012.6234621","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234621","url":null,"abstract":"In this paper, an integrated algorithm to detect humans in thermal imagery was introduced. In recent years, histogram of oriented gradient (HOG) is a quite popular algorithm for person detection in visible imagery. We implement the pedestrian detection in infrared imagery with this algorithm by adjusting the parameters. Simultaneously, we have increased some other geometric characteristics, such as mean contrast, which is used as features for the detection. After analyzing the property of the infrared imagery, which is designed to meet the shortfall of the HOG in infrared imagery, the combined vectors are fed to a linear SVM for object/non-object classification and we get the detector at the same time. After that, the detection window is scanned across the image at multiple positions and scales, which is followed by the combination of the overlapping detections. At last, a pedestrian is described by a final detection, and we have detected the pedestrians in the thermal imagery. Experimental results with OSU Thermal Pedestrian Database are reported to demonstrate the excellent performance of our algorithms.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117215754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234762
Bo Wang
Memory consolidation refers to the process through memory, after being reactivated via retrieval, is again consolidated. Studies have shown that emotion elicited after learning can affect memory consolidation. However, many prior studies were based on animal studies. Furthermore, it is unclear whether the effect of emotion can extend to reconsolidation of different aspects of memory for an event. This study therefore examined the effect of post-learning emotion, elicited by video clips, on reconsolidation of memory for item memory and source memory for Chinese words. On day 1 participant learned a list of neutral, positive and negative Chinese words, and took immediate test of free recall. On day 2 (24 hours after the session in day 1) they returned to the laboratory, took a test of free recall for memory reactivation, and then watched a 3-min neutral, positive, or negative video clips for emotion elicitation. On day 3 (24 hours after the session in day 2), they returned to the laboratory and took a test of cued-recall. The results showed that whether negative nor positive, that was elicited after reactivation of memory through the paradigm of recalling, could affect the reconsolidation of both item memory and source memory. However, that item memory for emotional words were significantly better than for neutral words, whereas source memory for emotional words did not significantly differ from that for neutral words. This finding indicating that emotion has differential effects on item memory and source memory.
{"title":"The effect of post-reactivation emotion on reconsolidation of item memory and source memory for Chinese words","authors":"Bo Wang","doi":"10.1109/ICNC.2012.6234762","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234762","url":null,"abstract":"Memory consolidation refers to the process through memory, after being reactivated via retrieval, is again consolidated. Studies have shown that emotion elicited after learning can affect memory consolidation. However, many prior studies were based on animal studies. Furthermore, it is unclear whether the effect of emotion can extend to reconsolidation of different aspects of memory for an event. This study therefore examined the effect of post-learning emotion, elicited by video clips, on reconsolidation of memory for item memory and source memory for Chinese words. On day 1 participant learned a list of neutral, positive and negative Chinese words, and took immediate test of free recall. On day 2 (24 hours after the session in day 1) they returned to the laboratory, took a test of free recall for memory reactivation, and then watched a 3-min neutral, positive, or negative video clips for emotion elicitation. On day 3 (24 hours after the session in day 2), they returned to the laboratory and took a test of cued-recall. The results showed that whether negative nor positive, that was elicited after reactivation of memory through the paradigm of recalling, could affect the reconsolidation of both item memory and source memory. However, that item memory for emotional words were significantly better than for neutral words, whereas source memory for emotional words did not significantly differ from that for neutral words. This finding indicating that emotion has differential effects on item memory and source memory.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128317830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234650
G. Hang, Guofei Wang, Xiaohui Hu
A novel circuit realization of two parallel A/D converters based on the Hopfield's neural network is presented. The two neural A/D converters are constructed with comparators and Schmitt triggers, respectively, and they are all designed by using neuron-MOS transistors. The benefit of the proposed circuit realization with neuron-MOS transistors is that the structure of the circuit has been simplified significantly. The proposed circuits can be fabricated by standard CMOS process with a 2-ploy layer. From the HSPICE simulation results using TSMC 0.35μm double-polysilicon CMOS technology, the effectiveness of the proposed approach is validated.
{"title":"The design of Neural A/D converter using neuron-MOS transistor","authors":"G. Hang, Guofei Wang, Xiaohui Hu","doi":"10.1109/ICNC.2012.6234650","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234650","url":null,"abstract":"A novel circuit realization of two parallel A/D converters based on the Hopfield's neural network is presented. The two neural A/D converters are constructed with comparators and Schmitt triggers, respectively, and they are all designed by using neuron-MOS transistors. The benefit of the proposed circuit realization with neuron-MOS transistors is that the structure of the circuit has been simplified significantly. The proposed circuits can be fabricated by standard CMOS process with a 2-ploy layer. From the HSPICE simulation results using TSMC 0.35μm double-polysilicon CMOS technology, the effectiveness of the proposed approach is validated.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128610837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234544
Meilong Le, Cong-cong Wu, Hong Zhang
This paper aims to use optimization method to solve the Berth-Quay Crane Allocation Problem. The objective used here is to minimize the total stevedoring time and the total operational cost. In order to solve the problem in reasonable time, the multi-objective Particle Swarm Optimization (PSO) method is designed. Five instances with 30, 40, 50, 60, 70 ships are used for testing the model and PSO. The result of experimental computations indicate that the algorithm is effective and the model can get the optimal trade-off solution between time and cost. Compared with the single-objective model, the multi-objective model is more beneficial to the whole shipping system.
{"title":"An integrated optimization method to solve the berth-QC allocation problem","authors":"Meilong Le, Cong-cong Wu, Hong Zhang","doi":"10.1109/ICNC.2012.6234544","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234544","url":null,"abstract":"This paper aims to use optimization method to solve the Berth-Quay Crane Allocation Problem. The objective used here is to minimize the total stevedoring time and the total operational cost. In order to solve the problem in reasonable time, the multi-objective Particle Swarm Optimization (PSO) method is designed. Five instances with 30, 40, 50, 60, 70 ships are used for testing the model and PSO. The result of experimental computations indicate that the algorithm is effective and the model can get the optimal trade-off solution between time and cost. Compared with the single-objective model, the multi-objective model is more beneficial to the whole shipping system.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123161571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234716
Q. Song, Hui Yuan, Xisheng Liu, Chen Qiu
In this paper, we introduce liquid drop fingerprint, a feature extraction method called waveform analysis and support vector machine, then discuss the recognition method of liquid drop fingerprint. The waveform analysis method can grasp the main features of the liquid drop fingerprint, greatly reduce the information needed for recognition and improve recognition efficiency. Support vector machine technology is particularly suitable for pattern classification. By using waveform analysis and support vector machine in liquid drop fingerprint recognition, we can get good results.
{"title":"Support vector machine for the liquid drop fingerprint recognition","authors":"Q. Song, Hui Yuan, Xisheng Liu, Chen Qiu","doi":"10.1109/ICNC.2012.6234716","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234716","url":null,"abstract":"In this paper, we introduce liquid drop fingerprint, a feature extraction method called waveform analysis and support vector machine, then discuss the recognition method of liquid drop fingerprint. The waveform analysis method can grasp the main features of the liquid drop fingerprint, greatly reduce the information needed for recognition and improve recognition efficiency. Support vector machine technology is particularly suitable for pattern classification. By using waveform analysis and support vector machine in liquid drop fingerprint recognition, we can get good results.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126419757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234634
Hyeon-Cheol Jo, Kwang-Seon Yoo, Jae-Yong Park, Seog-young Han
A modified ant colony optimization algorithm implementing a new definition of pheromone and a new cooperation mechanism between ants is presented in this paper. The study aims at improving the suitability and computational efficiency of the ant colony optimization algorithm in dynamic topology optimization problems. The natural frequencies of the structure must be maximized yet satisfying a constraint on the final volume. Optimization results obtained in three test cases indicate that modified ACO is more efficient and robust than ACO in solving dynamic topology optimization problems.
{"title":"Dynamic topology optimization based on ant colony optimization","authors":"Hyeon-Cheol Jo, Kwang-Seon Yoo, Jae-Yong Park, Seog-young Han","doi":"10.1109/ICNC.2012.6234634","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234634","url":null,"abstract":"A modified ant colony optimization algorithm implementing a new definition of pheromone and a new cooperation mechanism between ants is presented in this paper. The study aims at improving the suitability and computational efficiency of the ant colony optimization algorithm in dynamic topology optimization problems. The natural frequencies of the structure must be maximized yet satisfying a constraint on the final volume. Optimization results obtained in three test cases indicate that modified ACO is more efficient and robust than ACO in solving dynamic topology optimization problems.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123060151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The particle swarm optimization (PSO) is a robust stochastic evolutionary computation algorithm based on the movement and intelligence of bird swarm, it can overcome the drawbacks of the Newton-like iteration algorithm in EIT. This paper presents the Modified Particle Swarm Optimization(M-PSO) algorithm to reconstruction the conductivity distribution in EIT imaging, where the circle-domain solved is discretized into irregular polygons by the Finite Element Method (FEM), trigonometric current pattern and the M-PSO are adopted to reconstruct the conductivity distribution where has one or two targets in the circle-domain. The numerical simulation result shows that the methods given in this paper can reflect accurately the conductivity distribution and locates the targets.
{"title":"Research of electrical impedance tomography based on the Modified Particle Swarm Optimization","authors":"Hui Zhang, Haibin Wang, Yongjun Zhou, Xiaodi Zhang","doi":"10.1109/ICNC.2012.6234558","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234558","url":null,"abstract":"The particle swarm optimization (PSO) is a robust stochastic evolutionary computation algorithm based on the movement and intelligence of bird swarm, it can overcome the drawbacks of the Newton-like iteration algorithm in EIT. This paper presents the Modified Particle Swarm Optimization(M-PSO) algorithm to reconstruction the conductivity distribution in EIT imaging, where the circle-domain solved is discretized into irregular polygons by the Finite Element Method (FEM), trigonometric current pattern and the M-PSO are adopted to reconstruct the conductivity distribution where has one or two targets in the circle-domain. The numerical simulation result shows that the methods given in this paper can reflect accurately the conductivity distribution and locates the targets.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120955070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2012-05-29DOI: 10.1109/ICNC.2012.6234524
Jihong Song, W. Yi
This paper addresses the dynamic behavior of for Vandepol oscillator under the single-input periodic signal turbulent in non-Gaussian color noise environments, the methods of State space analysis methods are introduced to educe out the threshold of chaotic movement of non-linear system. It is found that the chaotic threshold is decided by the value of parameters in the Vandepol oscillator; the non-Gaussian color noise has little effect on the system's ultimate dynamic behavior when the oscillator is in the chaotic behavior. The parameters slight changes of single-input periodic signal will induce the great differently of dynamic behavior. Numerical results confirm our conclusion that the Vandepol oscillator is immune to zero mean square non-Gaussian color noise.
{"title":"Analysis of dynamic behavior for Vanderpol oscillator under the single-input periodic signal","authors":"Jihong Song, W. Yi","doi":"10.1109/ICNC.2012.6234524","DOIUrl":"https://doi.org/10.1109/ICNC.2012.6234524","url":null,"abstract":"This paper addresses the dynamic behavior of for Vandepol oscillator under the single-input periodic signal turbulent in non-Gaussian color noise environments, the methods of State space analysis methods are introduced to educe out the threshold of chaotic movement of non-linear system. It is found that the chaotic threshold is decided by the value of parameters in the Vandepol oscillator; the non-Gaussian color noise has little effect on the system's ultimate dynamic behavior when the oscillator is in the chaotic behavior. The parameters slight changes of single-input periodic signal will induce the great differently of dynamic behavior. Numerical results confirm our conclusion that the Vandepol oscillator is immune to zero mean square non-Gaussian color noise.","PeriodicalId":404981,"journal":{"name":"2012 8th International Conference on Natural Computation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122673354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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