Wenjia Ni, Jintao Liu, S. Chen, Qing He, W. Liu, Chao Hu
{"title":"FPGA-based parallel calculation of focus function","authors":"Wenjia Ni, Jintao Liu, S. Chen, Qing He, W. Liu, Chao Hu","doi":"10.1109/ICINFA.2011.5949059","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949059","url":null,"abstract":"Auto-focus systems always suffer from the problem of poor sensitivity of focus functions and long focus time. This paper proposes an adaptive method with FPGA to solve this problem. The method is based on image block region, which brings about two advantages. One is that the weights can be set for each image block; this will enhance the sensitivity of focus function. The other is that each image block can executes the image process in parallel; this will improve the speed of focus. This paper has also analyzed and compared several classical focus functions, and then constituted a focus function based on Brenner method. This paper proves that the parallel calculation method of focus functions needs less time that can improve the reliability and response sensitivity of auto focusing process.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126722514","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}
{"title":"Predicting algorithm for RNA pseudoknotted structure","authors":"Zhendong Liu, C. Fu","doi":"10.1109/ICINFA.2011.5949047","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949047","url":null,"abstract":"Pseudoknots are a frequent RNA structure. Based on the relative stability of the stems in RNA molecules, an algorithm is presented to predict RNA pseudoknotted structure,the introduced algorithm takes O(n3) time and O(n) space and outperforms other known algorithms in predicting accuracy. This algorithm not only reduces the time complexity to O(n3), but also widens the maximum length of the sequence The experimental results on the RNA sub-sequences in PseudoBase indicate that the algorithm has good accuracy, sensitivity and specificity.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123352698","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}
Ning Mao, Bo Su, Qichang Yao, Lei Jiang, Hongji Xu
{"title":"Simulation study of planetary rover's static model under unstructured terrain condition","authors":"Ning Mao, Bo Su, Qichang Yao, Lei Jiang, Hongji Xu","doi":"10.1109/ICINFA.2011.5948983","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5948983","url":null,"abstract":"The static simulation of the planetary rover with optimal power consumption under unstructured terrain condition is described in this paper. It is based on kinematics and statics model, combined with experiment data of wheel-soil test-bed developed by ourselves. The motion state is monitored by stable angle and each wheel slip ratio. The processes of static modeling and kinematic modeling are described in detail firstly, and then computer simulations are performed which will verify the validity of the analytical methodology in this paper. This method can not only be seemed as an advance judgment of the traffic ability for rover under unstructured terrain condition, but also can be used as the design basis of the rover controller.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126559586","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}
{"title":"Input assignability of nonlinear system and its applications in robust/tracking control","authors":"Yuqing He, Jianda Han","doi":"10.1109/ICINFA.2011.5948957","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5948957","url":null,"abstract":"It's well known that measured or estimated uncertainty information is absolutely beneficial to design robust controller. However, few researches have been conducted on that due to the difficulties of obtaining uncertainty information. Most recently, development of observation/estimation and measurement techniques (especially for nonlinear systems) make it possible to get full or partial uncertainty information. Thus, in this paper, a new concept of input assignability is introduced and used to design robust controller for nonlinear systems. The main idea of this new control scheme is firstly presented with respect to two typical nonlinear systems; subsequently, it is generalized and combined with the input-output finite gain L2 stable control to attenuate disturbances without deteriorating closed loop performance greatly; finally, experiments on a inverted pendulum testbed are carried out and the results verify feasibility and validity of the proposed scheme.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122977407","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}
{"title":"Distributed least square support vector regression for environmental field estimation","authors":"Bowen Lu, Dongbing Gu, Huosheng Hu","doi":"10.1109/ICINFA.2011.5949068","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949068","url":null,"abstract":"A distributed approach to monitoring the environmental field function with mobile sensor networks is presented in this paper. With this approach, a mobile sensor network is capable to estimate a model of field functions in real-time. This approach consists of two stages, a field function learning stage and a locational optimising stage. A distributed least square support vector regression (LS-SVR) is developed for the field function learning stage. On the locational optimising stage, a gradient based method: centroidal Voronoi tessellation (CVT) is used to allocate each sensor node's position. These two stages are running alternately in a loop so that the field function learning stage can keep updating the field function with new sensor readings resulted from the locational optimising stage, and simultaneously, the locational optimising stage can relocate sensor nodes according to a more accurate field function model. Eventually, the field function is estimated and the sensor nodes are distributed based on the estimated model. The simulation results given in this paper show the effectiveness of this approach.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122690321","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}
Haibin Wang, Dongmei Chen, M. Meng, Chao Hu, Zhiyong Liu
{"title":"Robust abnormal Wireless Capsule Endoscopy frames detection based on least squared density ratio algorithm","authors":"Haibin Wang, Dongmei Chen, M. Meng, Chao Hu, Zhiyong Liu","doi":"10.1109/ICINFA.2011.5949010","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949010","url":null,"abstract":"Wireless Capsule Endoscopy (WCE) constitutes a recent technological breakthrough that enables the observation of the gastrointestinal tract (GT) and especially the entire small bowel in a non-invasive way compared to the traditional imaging techniques. A primary difficulty with the management of WCE videos is that reviewing capsule endoscopic video is a labour intensive task and very time consuming. Also the diagnosis process by WCE videos is not real-time. In order to address those difficulties and limitations, we propose a new framework by defining Frame Abnormality Index (FAI) using the ratio of training and testing data densities, where training dataset only consist of normal samples and testing dataset consist of both normal and abnormal samples. In this paper, we use Least Square-based algorithm to estimate density ratio parameters without involving density estimation. Actual clinical patient frames including various abnormal frames are used to evaluate the performance of the proposed method. Experiments show that our proposed method is efficient and effective to detect abnormal frames in WCE videos.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132641864","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}
Xiaolei Zhou, Shengdong Zhao, M. Chignell, Xiangshi Ren
{"title":"Assessing age-related performance decrements in user interface tasks","authors":"Xiaolei Zhou, Shengdong Zhao, M. Chignell, Xiangshi Ren","doi":"10.1109/ICINFA.2011.5949107","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949107","url":null,"abstract":"As the computer and internet generations age, there is an increasing need to develop appropriate interfaces for the elderly that can accommodate age-related changes in manual dexterity, visual acuity, and cognitive abilities. Assessment of age effects is typically a necessary first step in designing age-appropriate interfaces, but assessment of age related effects may be complicated by a bias towards accuracy in the elderly or by other differences in how the tradeoff between speed and accuracy is handled by different people. In this paper, we attempt to investigate the effects of aging on performance difference in interacting with computer interfaces. An experiment was conducted to examine age related effects in a steering task. In order to assess the impact of a possible speed-accuracy tradeoff, performance was observed under three different instructional sets i.e., accuracy (A), neutral (N), and speed (S) when steering on a circular track. Experimental results showed that the elderly group performed significantly less accurately for all three instruction sets. The younger subjects were more influenced by instructions to perform faster, or with more accuracy. Cluster analysis of the empirical data individually for both the old and younger participants showed that variability among subjects was much greater in older users than younger users. Implications for user interface design for older users, and for the evaluation of age effects in HCI generally, are discussed.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133765798","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}
{"title":"Robust adaptive control of piezo-actuated positioning stages with an ellipse-based hysteresis model","authors":"Guoying Gu, Limin Zhu, C. Su","doi":"10.1109/ICINFA.2011.5948974","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5948974","url":null,"abstract":"Piezo-actuated positioning stages are widely applied in many industrial applications for nanometer or sub-nanometer displacement resolution. However, the non-smooth hysteresis nonlinearity inherent to the piezoelectric material usually degrades the tracking performance of the controlled system. The challenge is that there is no general method to design control laws with general hysteresis models. The control algorithms are always developed based on a specific hysteresis model. In this paper, an ellipse-based hysteresis model is used to describe the hysteresis behaviors observed on the piezo-actuated positioning stages. The benefit for such a model lies on the fact that the expressions of the model are completely analytical and can be determined easily by a set of parameters. It is therefore convenient to fuse this model with the available robust control approach to mitigate the effects of hysteresis. To illustrate this advantage, a discontinue-projection-based robust adaptive controller is specifically designed, which guarantees the global stability of the closed control system and achieves excellent tracking performance within a desired precision. Simulation performed on a piezo-actuated positioning stage validates the effectiveness of the developed control approach.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133916930","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}
{"title":"The mobile manipulation system of the Household Butler Robot based on multi-monocular cameras","authors":"Long Han, Xinyu Wu, Chunjie Chen, Y. Ou","doi":"10.1109/ICINFA.2011.5949089","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949089","url":null,"abstract":"The Household Butler Robot (HBR) project is a long-term group effort aiming to develop a multifunctional and robust household assistant robot. Thus an efficient mobile manipulation system is the key component for this robot to be practically useful. In this paper a mobile manipulation system based on multi-view monocular cameras applied in our robot is described in detail. This systems mainly consists of a head camera, a pair of arm cameras and a pair of bimanual arms. By combining visual information acquired by these cameras, the whole grasping routine is split into four steps in a “Look-Move-Look-Move” pattern and be solved step by step. Also a series of experiments about grasping known objects within household environments are performed to validate and evaluate this system. These results illustrate that this system successfully and efficiently accomplishes grasping tasks.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114793433","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}
{"title":"Vehicle-license-plate recognition based on neural networks","authors":"Yiqing Liu, Dong Wei, Ning Zhang, Minzhe Zhao","doi":"10.1109/ICINFA.2011.5949018","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949018","url":null,"abstract":"A license plate recognition system based on neural networks was designed and developed. The system used a neural-network chip to recognize license plates. The chip combined video image processing module with neural network module by using equalized image processing algorithm and network classification algorithm. A set of interface circuit was developed for implementing license-plate-number recognition. Experiment results show the system can guarantee a very low error rate at an acceptable recognition time.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122926921","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}