2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)最新文献

{"title":"Novel method for failure prognostics of power MOSFET","authors":"Min Zhao, Donglai Zhang, Zhicheng Zhou, Tiecai Li, Zicai Wang","doi":"10.1109/CIVEMSA.2015.7158628","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158628","url":null,"abstract":"Switched mode power supplies have become ubiquitous in electronic modules and systems. From converting power types, power levels, or driving actuators, these power converters embody varying topologies but usually have high switching rates of up to 500 kHz, power devices such as MOSFETs, microelectronic components and a mix of passive components that store and release energy. They are complex modules that have an unfortunate history of observed high failure rates, yet they may be required to support critical systems. MOSFET plays an increasingly important role in energy conversion and application, it is also the weakest link in the SMPS systems, so that power MOSFET could be used for prognostics of the SMPS. In this paper, a novel method for prognosis of power MOSFET is introduced with the measurement of the timing delay between the Gate-Source and Drain-Source, the time delay will increase with the usage of power MOSFET, as the threshold voltage shifts, also the capacitor of the gate-source increase, which could be measured with the proposed method, the prognostics of MOSFET could be easily implemented.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114917764","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":"Data-driven analysis of kinaesthetic and tactile information for shape classification","authors":"T. E. D. Oliveira, Vinicius Prado da Fonseca, E. Huluta, P. Rosa, E. Petriu","doi":"10.1109/CIVEMSA.2015.7158615","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158615","url":null,"abstract":"Humans sense of touch consists in a complexity of sensors and nervous system. The information inferred by this system enables the daily dexterous manipulation tasks. In biological systems, there is no conscious prioritization of sensors while performing tactile exploration and the selection of exploratory movements is driven by learning instincts and data gathered by previous movements. The development of artificial systems tries to mimic such systems with engineered sensors and strategies for movement selection. This paper presents a data-driven analysis to the problem of sensor selection in the contour following for shape discrimination task. This task consists of a 4-DOF robotic finger exploring a set of 7 synthetic shapes. The data collected from the motors, inertial measurement unit, and magnetometer was analyzed applying principal component analysis and a multilayer perceptron neural network. Results show the variation of classification rate depending on the fingertip material and sensor considered. It is worth to observe that the magnetometer was the most robust in both cases.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125917233","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":"Non-contact measurement of respiratory and heart rates using a CMOS camera-equipped infrared camera for prompt infection screening at airport quarantine stations","authors":"Yosuke Nakayama, G. Sun, Shigeto Abe, T. Matsui","doi":"10.1109/CIVEMSA.2015.7158595","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158595","url":null,"abstract":"Severe acute respiratory syndrome (SARS) was first reported in 2003 and quickly spread around the world. Therefore, many international airport quarantine stations launched fever-based screening to detect infected passengers using infrared (IR) cameras for preventing global pandemics. However, a screening method based on fever alone can be insufficient for detecting infected individuals because many factors, such as antipyretics uptake, can affect it. Our previous studies using compact radar revealed that simultaneous measurement of facial skin temperature and respiratory and heart rates drastically improved the sensitivity of infection screening compared to that achieved by facial skin temperature measurement alone. Using a CMOS camera-equipped IR camera (CMOS-IR camera), which most Japanese International Airports have adopted, we developed an enhanced thermal/RGB image processing method for non-contact measurement of facial skin temperature, and respiratory and heart rates. We conducted the image processing on the thermal/RGB image-fusion mode in real time; we determined the respiratory rate by thermal images of the IR camera and the heart rate by the RGB images of the CMOS camera. Using a CMOS-IR camera, we measured respiratory and heart rates of ten healthy subjects (23 ± 1 years), and compared them with those determined by a contact-type respiratory effort belt and electrocardiograms (ECGs) as references. The respiratory and heart rates obtained from the CMOS-IR camera exhibited strong positive correlations with those derived from the references, a respiratory effort belt: r = 0.99, p <; 0.01; ECG: r = 0.96, p <; 0.01, whereas the axillary temperature indicated a moderate degree of correlation to facial skin temperature (r = 0.6). Adopting this method into conventional CMOS-IR camera image processing at international airport quarantines will achieve higher infection screening sensitivity.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121266193","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":"CRLB-weighted intersection method for target localization using AOA measurements","authors":"Z. Duan, Qi Zhou","doi":"10.1109/CIVEMSA.2015.7158616","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158616","url":null,"abstract":"Two dimensional target localization using AOA measurements is considered in this paper. By conducting repeated experiments, the complex AOA (CAOA) method found that for the two-sensor and single-target scenario, the accuracy of the intersection of two bearing lines can be divided into different layers. However, the experiments are very time consuming. Also, the division of the intersection region of interest into different layers is very subjective. In this paper, by the fusion of AOA measurements from multiple sensors, we propose a CRLB-weighted intersection method (CWIAOA) for target localization problem using AOA measurements. It was found that the new weights built on CRLB are consistent with the results of CAOA method. Numerical examples also demonstrate that the proposed method is not worse than the existing pseudo linear squares (PLS) and sensitivity analysis (SA) methods in all scenarios considered.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125931641","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":"Action recognition by Huffman coding and implicit action model","authors":"Nijun Li, Tongchi Zhou, Lin Zhou, Zhen-yang Wu","doi":"10.1109/CIVEMSA.2015.7158603","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158603","url":null,"abstract":"Human action recognition is at the core of computer vision, and has great application value in intelligent human-computer interactions. On the basis of Bag-of-Words (BoW), this work presents a Huffman coding and Implicit Action Model (IAM) combined framework for action recognition. Specifically, Huffman coding, which outperforms naïve Bayesian method, is a robust estimation of visual words' conditional probabilities; whereas IAM captures the spatio-temporal relationships of local features and outperforms most other common machine learning methods. Spatio-Temporal Interest Points (STIPs) and Harris corners are employed as local features, and multichannel feature description is adopted to exploit the complementarity among different features. Experiments on UCF-YouTube and HOHA2 datasets systematically compare the performance of various feature channels and machine learning methods, demonstrating the effectiveness of the approaches proposed by this paper. Finally, multiple augment mechanisms such as feature fusion, hierarchical codebooks and sparse coding are integrated into the recognition system, achieving the best ever performance comparing with the state-of-the-art.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123285739","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":"XEarth: A 3D GIS platform for managing massive city information","authors":"Xiaoming Li, Zhihan Lv, Jinxing Hu, Baoyun Zhang, LingYan Shi, Shengzhong Feng","doi":"10.1109/CIVEMSA.2015.7158625","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158625","url":null,"abstract":"A 3D Shenzhen city web platform based on WE-BVRGIS is presented. A 3D globe browser is employed to load all kinds of demanded data of the city, such as 3D building model data, residents information, real-time and historical traffic data. Using these data, the 3D analysis and visualization of the concerned city massive information are conducted in the platform. All the presented functions of the platform are extracted from the practical customer demand. The system design has considered some existing Geographic human-computer interaction (GeoHCI) research results.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124890689","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":"Operational pattern analysis for predictive maintenance scheduling of industrial systems","authors":"Yu Zhang, C. Bingham, M. Gallimore, S. Maleki","doi":"10.1109/CIVEMSA.2015.7158599","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158599","url":null,"abstract":"The paper presents a method to identify the operational usage patterns for industrial systems. Specifically, power measurements from an industrial gas turbine generator are studied. A fast Fourier transform (FFT) and image segmentation is used to develop an intuitive representation of operation. A spectrogram is adopted to study the average usage through the use of spectral power indices, with singular spectral analysis (SSA) applied for operational trend extraction. Through use of these techniques, two fundamental inputs for predictive maintenance scheduling viz. the users behaviour with regard to long-term unit startups patterns, and the duty cycle of power requirements, can be readily identified.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127672865","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":"Steering pulse model for vehicle lane keeping","authors":"T. Gordon, Yu Zhang","doi":"10.1109/CIVEMSA.2015.7158601","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158601","url":null,"abstract":"Steering control for vehicle lane keeping has attracted wide attention from both automotive industries and vehicle control researchers. Commonly used linear control models cannot adequately represent the intermitted pulse-like qualities seen in real-world, naturalistic steering measurements. Therefore, an alternative `pulse control model' (PCM) was recently proposed to take account of this property. While previous work was focused on modeling and understanding the general pulse-like steering behavior and the resulting steering dynamics, this paper aims to focus on the signal properties, especially the relationship between pulse duration and amplitude on the one hand, and near-point and far-point lane tracking errors on the other hand. The analysis of experimental results presented here demonstrates that the proposed PCM could provide a novel and plausible representation of steering control during lane keeping.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132061476","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":"An effective algorithm for generation of crater gray image","authors":"Tingting Lv, Weiduo Hu, Zhi-na Jiang","doi":"10.1109/CIVEMSA.2015.7158606","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158606","url":null,"abstract":"Crater-based visual navigation method is a promising and precise method for future planetary landing missions. To develop and test the crater-based visual navigation algorithms, in this paper, we present an original and effective algorithm for generating the synthetic crater gray image. The presented crater gray image simulation algorithm is flexible and relies on the basic camera pinhole model and the Lambertian reflection model. First, the 3D terrain model of the planetary surface containing craters is established. Second, the intensity of each pixel in the image plane of the simulated camera, whose attitude and position are set in advance, is calculated by analyzing the intersections of the 3D terrain model with the optical line passing through the optical center and the given pixel. The experimental results demonstrate that the proposed algorithm is effective in simulating the crater gray image for developing and validating the algorithms of detecting craters and estimating the position and orientation of the spacecraft landing on the planetary surface.","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125664764","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":"Adaptive Fourier decomposition approach for lung-heart sound separation","authors":"Z. Wang, J. R. D. Cruz, F. Wan","doi":"10.1109/CIVEMSA.2015.7158631","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2015.7158631","url":null,"abstract":"Interference often occurs between the lung sound (LS) and the heart sound (HS). Due to the overlap in their frequency spectrums, it is difficult to separate them. This paper proposes a novel separation method based on the adaptive Fourier decomposition (AFD) to separate the HS and the LS with the minimum energy loss. This AFD-based separation method is validated on the real HS signal from the University of Michigan Heart Sound and Murmur Library as well as the real LS signal from the 3M repository. Simulation results indicate that the proposed method is better than other extraction methods based on the recursive least square (RLS), the standard empirical mode decomposition (EMD) and various extensions of the EMD including the ensemble EMD (EEMD), the multivariate EMD (M-EMD) and the noise assisted M-EMD (NAM-EMD).","PeriodicalId":348918,"journal":{"name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121497126","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}