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Performance evaluation of Field Device Integration (FDI) framework 现场设备集成(FDI)框架的性能评价
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2013-11-01 DOI: 10.1109/ICCAIS.2013.6720550
Ravish Kumar, D. Tandur, Mallikarjun Kande
{"title":"Performance evaluation of Field Device Integration (FDI) framework","authors":"Ravish Kumar, D. Tandur, Mallikarjun Kande","doi":"10.1109/ICCAIS.2013.6720550","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720550","url":null,"abstract":"Field Device Integration (FDI) is recently defined automation standard that provides a common platform to integrate and configure field devices that works on different protocols from different manufactures. The FDI standard incorporates the advantages of existing device integration technologies such as Field Device Tool (FDT) and Electronic Device Description Language (EDDL). This paper presents a performance evaluation methodology for FDI framework based on identified key performance metric (KPM). This enables KPM to be used in measuring, benchmarking, and analyzing the FDI performance. Further, we propose FDI test-bed application architecture that could be used in FDI framework performance evaluation. The methodology is illustrated using results obtained from a prototype FDI server for obtaining the various performance characteristics that could be used in optimizing the system. The results show the various performance characteristics of the FDI framework that will further aid in optimizing the system.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123415782","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
Multivariate cube for visualization of weather data 用于天气数据可视化的多元立方体
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2013-11-01 DOI: 10.1109/ICCAIS.2013.6720574
H. T. Nguyen, T. V. Tran, P. Tran, H. Dang
{"title":"Multivariate cube for visualization of weather data","authors":"H. T. Nguyen, T. V. Tran, P. Tran, H. Dang","doi":"10.1109/ICCAIS.2013.6720574","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720574","url":null,"abstract":"Weather factors such as temperature, moisture, and air pressure are considered as geographic phenomena distributed continuously in space and without boundaries. Weather factors have field characteristics, meanwhile their data are collected discretely at nodes which are considered as spatial objects. In this article, the model of multivariate cube is employed to visualize the data of weather factors in two modes, object-based visualization and field-based visualization. On a multivariate cube, the 2-D Cartesian coordinate systems representing various factors at a node are embedded in a space-time cube at the position of the node on map plane, where the data of each factor are represented as histogram bars with respect to time. The representation of factors on a multivariate cube supports the object-based visualization and the field-based visualization. The mode of object-based visualization displays the variation of one or more factors over time at one or more nodes, the difference between the values of a factor at various spatial positions, as well as the correlation between various factors at one or more spatial positions at the same time. The mode of field-based visualization displays each factor on layers associated with time. Each factor layer is constituted by converting point data of the factor recorded at nodes to surface data. The mode of field-based visualization approaches the models of stopped process and dynamics to infer surface data from point data. The mode of field-based visualization indicates the value of factors at a certain spatial position, where the mode of object-based visualization may be applied to display data similarly to at nodes. The mutual transformation of data between two modes of object-based visualization and field-based visualization on a multivariate cube expands analytical problems from some locations of nodes to every point in space.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116657250","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
Second-order sliding mode control of 3D overhead cranes 三维桥式起重机的二阶滑模控制
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2013-11-01 DOI: 10.1109/ICCAIS.2013.6720579
L. Tuan, Hoang Manh Cuong, Soon‐Geul Lee
{"title":"Second-order sliding mode control of 3D overhead cranes","authors":"L. Tuan, Hoang Manh Cuong, Soon‐Geul Lee","doi":"10.1109/ICCAIS.2013.6720579","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720579","url":null,"abstract":"This study proposes a second-order sliding mode controller for 3D overhead cranes in an extremely complicated operation. Three actuators composed of trolley moving, bridge travelling, and cargo-hoisting forces simultaneously drive five outputs comprising bridge motion, trolley translation, cable length, and two payload swing angles. Simulation and experiment were performed to investigate controller qualities. The proposed controller asymptotically stabilizes and consistently maintains system response even when some system parameters were widely varied.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121776640","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
An effective fusion scheme of spatio-temporal features for human action recognition in RGB-D video 一种有效的RGB-D视频人体动作识别的时空特征融合方案
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 2013-11-01 DOI: 10.1109/ICCAIS.2013.6720562
Quang D. Tran, N. Ly
{"title":"An effective fusion scheme of spatio-temporal features for human action recognition in RGB-D video","authors":"Quang D. Tran, N. Ly","doi":"10.1109/ICCAIS.2013.6720562","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720562","url":null,"abstract":"We investigate the problem of human action recognition by studying the effects of fusing feature streams retrieved from color and depth sequences. Our main contribution is two-fold: First, we present the so-called 3DS-HONV descriptor which is a spatio-temporal extension of Histogram of Oriented Normal vector (HONV), specifically designed for capturing the joint shape-motion vision cues from depth sequences; on the other hand, an effective RGB-D features fusion scheme, which exploits information from both color and depth channels, is developed to extract expressive representations for action recognition in real scenarios. As a result, despite its simplicity, our 3DS-HONV descriptor performs surprisingly well, and achieves the state-of-the-art performance on MSRAction3D dataset, which is 88.89% in overall accuracy. Further experiments demonstrate that our latter feature fusion scheme also generalizes well and achieves good results on the one-shot-learning ChaLearn Gesture Data (CGD2011).","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129860420","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
Adaptive fuzzy sliding mode control for uncertain nonlinear underactuated mechanical systems 不确定非线性欠驱动机械系统的自适应模糊滑模控制
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 1900-01-01 DOI: 10.1109/ICCAIS.2013.6720556
R. R. Raja Ismail, N. D. That, Q. Ha
{"title":"Adaptive fuzzy sliding mode control for uncertain nonlinear underactuated mechanical systems","authors":"R. R. Raja Ismail, N. D. That, Q. Ha","doi":"10.1109/ICCAIS.2013.6720556","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720556","url":null,"abstract":"Sliding mode control has been shown to be a robust and effective control approach for stabilization of nonlinear systems. However the dynamic performance of the controller is a complex function of the system parameters, which is often uncertain or partially known. This paper presents an adaptive fuzzy sliding mode control for a class of underactuated nonlinear mechanical systems. An adaptive fuzzy system is used to approximate the uncertain parts of the underactuated system. The adaptive law is designed based on the Lyapunov method. The proof for the stability and the convergence of the system is presented. Robust performance of the adaptive fuzzy sliding mode control is illustrated using a gantry crane system. Simulation results demonstrate that the system output can track the reference signal in the presence of modelling uncertainties, external disturbances and parameter variation.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116377432","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
CO2 vehicular emission statistical analysis with instantaneous speed and acceleration as predictor variables 以瞬时速度和加速度为预测变量的汽车CO2排放统计分析
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 1900-01-01 DOI: 10.1109/ICCAIS.2013.6720547
S. D. Oduro, Santanu Metia, Hiep Duc, Q. P. Ha
{"title":"CO2 vehicular emission statistical analysis with instantaneous speed and acceleration as predictor variables","authors":"S. D. Oduro, Santanu Metia, Hiep Duc, Q. P. Ha","doi":"10.1109/ICCAIS.2013.6720547","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720547","url":null,"abstract":"Models for predicting vehicular emissions of carbon dioxide (CO2) are usually insensitive to vehicle modes of operation (such as cruise, acceleration, deceleration, and idling) as they are based on the average speed of motor vehicles. In the present study, real world on-road second-by-second data are used to improve the accuracy of air quality models by considering modal emissions of CO2 in terms of vehicles' instantaneous speed and acceleration. A regression analysis approach is used with speed and acceleration as the predictor variables while CO2 emission factor as the outcome variable for vehicles manufactured in 2002 and 2008. The results show that there is significantly a linear relationship between CO2, speed and acceleration/deceleration in which speed, as compared to acceleration, has a stronger correlation with respect to the CO2 emission factor. Also, for 2002 and 2008 vehicles, every 1m/s increase in speed will emit respectively 0.041g/s and 0.034g/s CO2, whereas an increase in acceleration by 1m/s2 will produce 0.025g/s and 0.008g/s of CO2 emission in the case of constant predictors. While speed and acceleration are all significant predictors of CO2 emission, it is concluded from the magnitude of the t-statistics that speed has a greater impact than acceleration in predicting CO2 emission.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400464","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: 12
APRC-based decentralised model predictive control for parallel splitting systems with a matrix annihilation 矩阵湮灭并联分裂系统的分散模型预测控制
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 1900-01-01 DOI: 10.1109/ICCAIS.2013.6720551
T. Tran, N. D. That, Q. Ha
{"title":"APRC-based decentralised model predictive control for parallel splitting systems with a matrix annihilation","authors":"T. Tran, N. D. That, Q. Ha","doi":"10.1109/ICCAIS.2013.6720551","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720551","url":null,"abstract":"A decentralised model predictive control strategy for interconnected process systems having parallel-splitting structure based on the asymptotically positive realness constraint (APRC) is presented in this paper. Parallel masking and transform descriptor approaches have been employed in previous work for this type of interconnection processes. A robust control perspective has been brought to light in this work to resolve the issue of multiple subprocess parallelised-ly decoupled in a mixed connection configuration of dynamically coupled units. An annihilation is employed to cancel out the interactive vectors between interconnected processing units. Simulation for a parallel redundant process system in mining industry is provided to demonstrate the effectiveness of the presented robust control approach to parallelised interconnected systems.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176899","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 bio-kinematic encoder for human exercise representation and decomposition - Part 2: Robustness and optimisation 一种用于人体运动表征和分解的新型生物运动学编码器-第2部分:鲁棒性和优化
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 1900-01-01 DOI: 10.1109/ICCAIS.2013.6720525
Saiyi Li, T. Caelli, M. Ferraro, P. Pathirana
{"title":"A novel bio-kinematic encoder for human exercise representation and decomposition - Part 2: Robustness and optimisation","authors":"Saiyi Li, T. Caelli, M. Ferraro, P. Pathirana","doi":"10.1109/ICCAIS.2013.6720525","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720525","url":null,"abstract":"Bio-kinematic characterisations of human exercises constitute dealing with parameters such as velocity, acceleration, joint angles, etc. A majority of these are measured directly from various sensors ranging from RGB cameras to inertial sensors. However, due to certain limitations associated with these sensors, such as inherent noise, filters are required to be implemented to subjugate the effect from the noise. When the two-component (trajectory shape and dynamics) bio-kinematic encoding model is being established to represent an exercise, reducing the effect from noise embedded in raw data will be important since the underlying model can be quite sensitive to noise. In this paper, we examine and compare some commonly used filters, namely least-square Gaussian filter, Savitzky-Golay filter and optimal Kalman filter, with four groups of real data collected from Microsoft Kinect©, and assert that Savitzky-Golay filter is the best one when establishing an underlying model for human exercise representation.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126644460","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
A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1: Indexing and modelling 一种用于人体运动表征和分解的新型生物运动学编码器-第1部分:索引和建模
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 1900-01-01 DOI: 10.1109/ICCAIS.2013.6720524
Saiyi Li, T. Caelli, M. Ferraro, P. Pathirana
{"title":"A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1: Indexing and modelling","authors":"Saiyi Li, T. Caelli, M. Ferraro, P. Pathirana","doi":"10.1109/ICCAIS.2013.6720524","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720524","url":null,"abstract":"Current bio-kinematic encoders use velocity, acceleration and angular information to encode human exercises. However, in exercise physiology there is a need to distinguish between the shape of the trajectory and its execution dynamics. In this paper we propose such a two-component model and explore how best to compute these components of an action. In particular, we show how a new spatial indexing scheme, derived directly from the underlying differential geometry of curves, provides robust estimates of the shape and dynamics compared to standard temporal indexing schemes.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127647277","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
Consistency analysis for data fusion: Determining when the unknown correlation can be ignored 数据融合的一致性分析:确定何时可以忽略未知的相关性
2013 International Conference on Control, Automation and Information Sciences (ICCAIS) Pub Date : 1900-01-01 DOI: 10.1109/ICCAIS.2013.6720537
Ashkan Amirsadri, A. Bishop, Jonghyuk Kim, J. Trumpf, L. Petersson
{"title":"Consistency analysis for data fusion: Determining when the unknown correlation can be ignored","authors":"Ashkan Amirsadri, A. Bishop, Jonghyuk Kim, J. Trumpf, L. Petersson","doi":"10.1109/ICCAIS.2013.6720537","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720537","url":null,"abstract":"In this paper we examine the conditions in which data fusion can be performed by neglecting the unmodeled correlation between two information sources without compromising the consistency of the system. More specifically, we explore those situations in which one can disregard the correlation information and achieve a consistent estimate by simply adding the respective estimates' information matrices. This estimate will deliver considerably better performance than the widely employed Covariance Intersection (CI) algorithm in terms of estimation uncertainty.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122299060","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
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