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Third International Workshop on Advanced Computational Intelligence最新文献

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Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamics 基于行人体动力学分析的城市街景设计智能评价
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585134
A. Jalalian, S. Chalup, Michael J. Ostwald
{"title":"Intelligent evaluation of urban streetscape designs by analysing pedestrian body dynamics","authors":"A. Jalalian, S. Chalup, Michael J. Ostwald","doi":"10.1109/IWACI.2010.5585134","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585134","url":null,"abstract":"This study describes a new approach for pedestrian behaviour analysis in simulated urban environments. A software system was developed to analyse the dynamics of pedestrians with a focus on their movement trajectories and the angle between the pedestrian's movement vector and their gaze vector. One-class support vector machines and dynamic time warping were applied for outlier detection in order to indentify noticeable changes in the visual behavior of individuals in a group of simulated pedestrians who walk past visually attractive objects. Results of simulation experiments demonstrate how different pedestrian behaviour characteristics can be detected and distinguished in a variety of abstract urban design scenarios. The described software system was designed to allow future real world applications by feeding video recordings of real pedestrians into the model.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121702060","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}
引用次数: 7
A novel artificial neural network ensemble model based on K-nn nonparametric estimation for rainfall forecasting 基于K-nn非参数估计的人工神经网络集成模型在降雨预报中的应用
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585228
Jifu Nong
{"title":"A novel artificial neural network ensemble model based on K-nn nonparametric estimation for rainfall forecasting","authors":"Jifu Nong","doi":"10.1109/IWACI.2010.5585228","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585228","url":null,"abstract":"In this paper, we propose a novel artificial neural network ensemble rainfall forecasting model based K-nearest neighbor (K-nn) nonparametric estimation of regression. In this model, original data set are partitioned into some different training subsets via Bagging technology. Then using different ANNs algorithms and different network architecture generate diverse individual neural network ensemble by taining subsets, Thirdly, the partial least square regression is adopted to extract ensemble members. Finally, the K-nn nonparametric regression is used for ensemble model. Empirical results obtained reveal that the prediction by using the nonparametric ensemble model is generally better than those obtained using other models presented in this study in terms of the same evaluation measurements. Our findings reveal that the nonparametric ensemble model proposed here can be used as an alternative forecasting tool for a Meteorological application in achieving greater forecasting accuracy and improving prediction quality further.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124753891","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}
引用次数: 5
A summation formula for the finite sum of form such as Σƒ(i)ti 形式如Σƒ(i)ti的有限和的求和公式
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585207
Xiaomin Chen, Ruiyue Lin
{"title":"A summation formula for the finite sum of form such as Σƒ(i)ti","authors":"Xiaomin Chen, Ruiyue Lin","doi":"10.1109/IWACI.2010.5585207","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585207","url":null,"abstract":"In this paper, we discussed a kind of summation formula for the finite sum of form such as Σƒ(i)ti, which is based on two representations of a (n + 1) -th continuous differentiable function ƒ(z) by the Bernoulli function or the Eulerian function. For ƒ(z) be a polynomial in z of degree n, we educed an especial summation formula, which has wide applications in numerical calculation.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124805883","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}
引用次数: 0
A novel updating strategy for associative memory scheme in cyclic dynamic environments 循环动态环境下一种新的联想记忆方案更新策略
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585215
Cao Yong, Wenjian Luo
{"title":"A novel updating strategy for associative memory scheme in cyclic dynamic environments","authors":"Cao Yong, Wenjian Luo","doi":"10.1109/IWACI.2010.5585215","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585215","url":null,"abstract":"Associative memory schemes have been developed for Evolutionary Algorithms (EAs) to solve Dynamic Optimization Problems (DOPs), and demonstrated powerful performance. In these schemes, how to update the memory could be important for their performance. However, little work has been done about the associative memory updating strategies. In this paper, a novel updating strategy is proposed for associative memory schemes. In this strategy, the memory point whose associated environmental information is most similar to the current environmental information is first picked out from the memory. Then, the selected memory individual is updated according to the fitness value, and the associated environmental information is updated according to the matching degree between environmental information and individuals. This updating strategy is embedded into a state-of-the-art algorithm, i.e. the MPBIL, and tested by experiments. Experimental results demonstrate that the proposed updating strategy is helpful for associative memory schemes to enhance their search ability in cyclic dynamic environments.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125653107","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}
引用次数: 6
State recognition based on fuzzy integration function for transporting hazardous chemicals 基于模糊积分函数的危险化学品运输状态识别
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585108
Yuanhui Cui, Zhenan Tang, Jun Yu
{"title":"State recognition based on fuzzy integration function for transporting hazardous chemicals","authors":"Yuanhui Cui, Zhenan Tang, Jun Yu","doi":"10.1109/IWACI.2010.5585108","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585108","url":null,"abstract":"This work focuses on predicting the safe rank using fuzzy integration function to keep safety for drivers and vehicles during the transporting hazardous chemicals. The LNG tanks, which are the most widely used and dangerous, are firstly considered in this work. The signals consist of eight kinds of different sensors, which are the gas sensor, the temperature sensor, the humidity sensor, the pressure sensor, the liquid level sensor, the acceleration sensor, the angle sensor and the switch sensor. After all the sensors' signals are collected, a correlation function, a threshold value and a fuzzy integration function are used to process them, then the state information, as well as the location information obtained by the Global Position System, is sent to the control center through the wireless communication network.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123936205","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}
引用次数: 1
Check image binary with morphological method 用形态学方法检查图像二值
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585229
Chongyang Zhang, Jingyu Yang
{"title":"Check image binary with morphological method","authors":"Chongyang Zhang, Jingyu Yang","doi":"10.1109/IWACI.2010.5585229","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585229","url":null,"abstract":"During the past few years, automatic check processing has become a popular topic in the field of document image analysis (DIA). Image binary is an important but hard task in automatic check image processing system. Difficulties in binary procedure derive mainly from the different types and positions of seal imprints. In this paper, we proposed a new binary method which is based on the fact that objects in a character image are mostly dark with thin strokes. In order to remove large block backgrounds, we firstly designed a set of morphological perorations to enhance the local feature of thin objects. Then a global threshold is selected and applied to the new enhanced image. Experiment results on 2745 real-life Chinese check images demonstrate the efficiency of our method compared with other commonly used binary methods. The recognition success rate has achieved 91.5%.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130370976","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}
引用次数: 0
Adaptive Immune Genetic Algorithm and its application in PID parameter optimization for main steam temperature control system 自适应免疫遗传算法及其在主汽温控制系统PID参数优化中的应用
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585148
G. Yuan, Y. Xue, Ji-zhen Liu
{"title":"Adaptive Immune Genetic Algorithm and its application in PID parameter optimization for main steam temperature control system","authors":"G. Yuan, Y. Xue, Ji-zhen Liu","doi":"10.1109/IWACI.2010.5585148","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585148","url":null,"abstract":"Aiming at prematureness, slow convergence rate and reduction in diversity which exist in Genetic Algorithm (GA), this paper presents Adaptive Immune Genetic Algorithm (AIGA) based on GA and immune system mechanism. Adaptive Immune Genetic Algorithm introduces antigens recognition function, immune memory function and antibodies self-adjusting function to Genetic Algorithm, and replaces the fixed probability crossover and mutation operator of Genetic Algorithm with the adaptive probability crossover and mutation operator. AIGA overcomes some disadvantages of GA, such as prematureness, slow convergence speed and reduction in diversity. And AIGA has strong global optimization ability and high searching efficiency. Then AIGA is used to optimize PID parameter for the main steam temperature control system. The simulation comparison experiment with different methods shows that PID parameters obtained by AIGA may provide better control effect than those obtained by GA and the engineering tuning methods. That is, the system control effect adopting AIGA-PID parameter has small overshoot, short adjusting time, and smooth transition. The simulation result also proves the validity of AIGA.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126486110","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}
引用次数: 3
Global exponential stability of a class of BAM neural networks with distributed delays 一类具有分布时滞的BAM神经网络的全局指数稳定性
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585233
Chaojin Fu, W. Liu, Meng Yang
{"title":"Global exponential stability of a class of BAM neural networks with distributed delays","authors":"Chaojin Fu, W. Liu, Meng Yang","doi":"10.1109/IWACI.2010.5585233","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585233","url":null,"abstract":"Based on contraction mapping principle, inequality technique, global exponential stability of a class of BAM neural networks with distributed delays is considered. Some sufficient conditions are derived which ensure the existence, uniqueness, global exponential stability of equilibrium points of the neural networks. Finally, the obtained results are demonstrated with a numerical example.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123312007","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}
引用次数: 2
Plant leaf classification based on weighted locally linear embedding 基于加权局部线性嵌入的植物叶片分类
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585156
Shanwen Zhang, Youqian Feng, J. Liu
{"title":"Plant leaf classification based on weighted locally linear embedding","authors":"Shanwen Zhang, Youqian Feng, J. Liu","doi":"10.1109/IWACI.2010.5585156","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585156","url":null,"abstract":"Locally linear embedding (LLE) is effective in discovering the geometrical structure of the data. But when it is applied to real-world data, it shows some weak points, such as being quite sensitive to noise points and outliers, and being unsupervised in nature. In this paper, we propose a weighted LLE. The experiments on synthetic data and real plant leaf data demonstrate that the proposed algorithm can efficiently maintain an accurate low-dimensional representation of the noisy manifold data with less distortion, and acquire higher average recognition rates of plant leaf compared to other dimensional reduction methods.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"32 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122993778","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}
引用次数: 2
Common fixed point under integral type contractive condition in Fuzzy metric spaces 模糊度量空间中积分型压缩条件下的公共不动点
Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI: 10.1109/IWACI.2010.5585201
Xiao-Feng Shao, Xin-qi Hu
{"title":"Common fixed point under integral type contractive condition in Fuzzy metric spaces","authors":"Xiao-Feng Shao, Xin-qi Hu","doi":"10.1109/IWACI.2010.5585201","DOIUrl":"https://doi.org/10.1109/IWACI.2010.5585201","url":null,"abstract":"This paper discusses the fixed point theorems for weakly compatible mappings under the contractive conditions of integral type in Fuzzy metric spaces and extends these results to Fuzzy 2-metric spaces and Fuzzy 3-metric spaces.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115442652","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}
引用次数: 4
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