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2010 IEEE 9th International Conference on Cyberntic Intelligent Systems最新文献

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Self-tuning AIS-based active vibration control of a thin plate 基于自调谐ais的薄板振动主动控制
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898111
S. Salleh, M. Tokhi
{"title":"Self-tuning AIS-based active vibration control of a thin plate","authors":"S. Salleh, M. Tokhi","doi":"10.1109/UKRICIS.2010.5898111","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898111","url":null,"abstract":"This paper presents an active vibration control (AVC) scheme based on artificial immune system (AIS) algorithm with application to a thin plate system. A model-based control design approach, intergrating identification of the system model based on AIS is carried out to design the controller. The investigations concentrate on the first five resonance modes of the structure, and assesses the ability of developed control approach in attenuating the deflection of the plate structure. The performance of the AVC system is presented in both time and frequency domains with random, pseudo random binary sequence (PRBS) and finite duration step disturbance signals. Simulation results reveal that good performance is achieved with this approach.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127080856","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 semantic-based text classification system 基于语义的文本分类系统
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898112
Abdullah Bawakid, M. Oussalah
{"title":"A semantic-based text classification system","authors":"Abdullah Bawakid, M. Oussalah","doi":"10.1109/UKRICIS.2010.5898112","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898112","url":null,"abstract":"This paper presents a system that performs automatic semantic-based text categorization. Using Princeton WordNet, a series of induced methods were implemented that extract semantic features from text and utilize them to decide how similar a document is to different topics. In addition, a bag-of-words method incorporating no knowledge from WordNet is implemented in the system as a basis to compare different WordNet-based approaches. This paper describes the system and reports on a simple analysis performed to evaluate the different implemented methods. At the end, a discussion on the limitations of this study and the future work to optimize the system is presented.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124780907","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: 19
Tuning of RLS-active vibration controller using genetic algorithm 基于遗传算法的rls主动振动控制器整定
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898115
S. Salleh, M. Tokhi
{"title":"Tuning of RLS-active vibration controller using genetic algorithm","authors":"S. Salleh, M. Tokhi","doi":"10.1109/UKRICIS.2010.5898115","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898115","url":null,"abstract":"This paper presents a recursive least-squares (RLS)-model based active vibration control (AVC) system with genetic algorithm (GA) self tuning. Tuning parameters include initial regression vectors, gain of RLS-model and gain of controller. The system employs a single-input single-output (SISO) control configuration, and is realised within the Matlab/Simulink environment. In the paper, the parameters of RLS-AVC system are tuned so as to achieve effective vibration suppression. The approach is tested with pseudo random binary sequence (PRBS) disturbance signal acting on a plate to access the effectiveness of the approach in reducing the vibration of the plate.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122867580","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
Online versus offline learning for spiking neural networks: A review and new strategies 脉冲神经网络的在线与离线学习:综述与新策略
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898113
Jinling Wang, A. Belatreche, L. Maguire, M. McGinnity
{"title":"Online versus offline learning for spiking neural networks: A review and new strategies","authors":"Jinling Wang, A. Belatreche, L. Maguire, M. McGinnity","doi":"10.1109/UKRICIS.2010.5898113","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898113","url":null,"abstract":"Spiking Neural Networks (SNNs) are considered to be the third generation of neural networks, and have proved more powerful than classical artificial neural networks from the previous generations. The main reason for studying SNNs lies in their close resemblance with biological neural networks. However their applicability in real world applications has been limited due to the lack of efficient training methods. For training large networks on large data sets, online learning is the more natural approach for learning non-stationary tasks. In this paper, existing offline and online learning algorithms for SNNs will be reviewed, the issue that online learning algorithms for SNNs were less developed will be highlighted, and future lines of research related to online training of SNNs will be presented.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124112560","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: 19
Using features extracted from Wikipedia for the task of Word Sense Disambiguation 使用从维基百科中提取的特征进行词义消歧任务
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898147
Abdullah Bawakid, M. Oussalah
{"title":"Using features extracted from Wikipedia for the task of Word Sense Disambiguation","authors":"Abdullah Bawakid, M. Oussalah","doi":"10.1109/UKRICIS.2010.5898147","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898147","url":null,"abstract":"In this paper, a method using features extracted from Wikipedia for the task of Word Sense Disambiguation (WSD) is presented and evaluated. A term-concepts table constructed from Wikipedia and the redirect links is described. With its help, the Wikipedia internal links along with the categories structure are used to compute the relatedness between any two concepts through a two-level process: a term-concepts expansion followed by a links-based expansion. The result is a ranked list of concepts which are most related to the ambiguous term given the context it exists in. For the evaluation experiment, the benchmark is constructed from a segment of the internal links of Wikipedia. The evaluation results obtained suggest that introducing links analysis and the categories structure to the built term-concepts table provide improvement to the accuracy of the method in the WSD task.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121722572","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: 9
Using triangulation to identify word senses 用三角测量法识别词义
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898108
P. Roberts, Richard J. Mitchell, V. Ruiz
{"title":"Using triangulation to identify word senses","authors":"P. Roberts, Richard J. Mitchell, V. Ruiz","doi":"10.1109/UKRICIS.2010.5898108","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898108","url":null,"abstract":"This work presents a method of coalescing the word senses from multiple dictionaries using the Internet, clustering and triangulation. The process produces topic signatures as a natural bi-product. The topic signatures are compared to those of other methods, such as those used for word sense disambiguation.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115567413","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
Automatic face emotion recognition system 自动人脸情感识别系统
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898118
Jiequan Li, M. Oussalah
{"title":"Automatic face emotion recognition system","authors":"Jiequan Li, M. Oussalah","doi":"10.1109/UKRICIS.2010.5898118","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898118","url":null,"abstract":"Facial expression recognition has been acknowledged as an active research topic in computer vision community. The challenges include the face identification and recognition, suitable data representation, appropriate classification scheme, appropriate database, among others. In this paper, a new approach for facial emotion recognition is investigated. The proposal involves the use of Haar transform and adaptive AdaBoost algorithm for face identification and Principal Component Analysis (PCA) in conjunction with minimum distance classifier for face recognition. Two approaches have been investigated for facial expression recognition. The former relies on the use of PCA and K-nearest neighbour (KNN) classification algorithm, while the latter advocates the use of Negative Matrix Factorization (NMF) and KNN algorithms. The proposal was tested and validated using Taiwanese and Indian face databases.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124118890","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: 27
Reconstruction of fingerprint images 指纹图像重建
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898110
R. Malik, A. Masood
{"title":"Reconstruction of fingerprint images","authors":"R. Malik, A. Masood","doi":"10.1109/UKRICIS.2010.5898110","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898110","url":null,"abstract":"Generally, the minutiae sent to the final matching phase are extracted from the skeleton images. The accuracy of minutiae extraction depends on the quality of the skeleton image. This paper presents a novel approach of fully reconstructing the fingerprint images besides using merely the traditional procedures of fingerprint enhancement. The reconstruction would not only improve the quality of the skeleton image but also increase the accuracy of minutiae extraction and thereby improve the recognition results. The proposed algorithm deals with the three quality degrading problems in skeleton images; ridges not being strictly continuous, parallel ridges not being well separated, and finally the ridges not being smooth. The algorithm reconstructs the broken ridges into fine ridges/valleys, increases the uniformity of the ridges/valley width and renders a smooth ridge structure. The reconstruction is an independent process and can be implemented as a separate module between the preprocessing and minutiae extraction phases of a typical Automatic Fingerprint Identification System (AFIS).","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114977230","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
Inverse model based control for a twin rotor system 基于逆模型的双转子系统控制
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898098
S. Toha, M. Tokhi
{"title":"Inverse model based control for a twin rotor system","authors":"S. Toha, M. Tokhi","doi":"10.1109/UKRICIS.2010.5898098","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898098","url":null,"abstract":"The use of active control technique has intensified in various control applications, particularly in the field of aircraft systems. A laboratory set-up system which resembles the behaviour of a helicopter, namely twin rotor multi-input multi-output system (TRMS) is used as an experimental rig in this research. This paper presents an investigation using inverse model control for the TRMS. The control techniques embraced in this work are direct inverse-model control, augmented PID with feedforward inverse-model control and augmented PID with feedback inverse-model control. Particle swarm optimization (PSO) method is used to tune the parameter of PID controller. To demonstrate the applicability of the methods, a simulated hovering motion of the TRMS, derived from experimental data is considered. The proposed inverse model based controller is shown to be capable of handling both systems dynamic as well as rigid body motion of the system, providing good overall system performance.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117351117","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
Robust three-dimensional scene recovery from monocular image pairs 鲁棒三维场景恢复从单眼图像对
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems Pub Date : 2010-09-01 DOI: 10.1109/UKRICIS.2010.5898154
Thomas Warsop, Sameer Singh
{"title":"Robust three-dimensional scene recovery from monocular image pairs","authors":"Thomas Warsop, Sameer Singh","doi":"10.1109/UKRICIS.2010.5898154","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898154","url":null,"abstract":"Three-dimensional (3D) scene recovery from two-dimensional (2D) image data is a challenging task. Typical methods applied involve computing 2D image feature correspondences between multiple frames, used in conjunction with camera models and movement to recover 3D feature position. In this work, we present a novel method for 3D scene recovery from monocular video. To provide greater robustness, we propose that rather than searching the 2D image space for feature correspondence, the 3D space in which the recovery is performed is searched directly. However, the search space presented by such a task can be quite large. We, therefore, present a technique to reduce the traversal of this search space. This comprises of enforcing geometric constraints on the recovered 3D data, ensuring a logically consistent 3D scene is reconstructed. We further propose a method (combining sequential image subtraction and region growing) to cope with the problems of 3D scene reconstruction as applied to unconstrained outdoor data. The proposed method is applied to the 3D recovery of outdoor scenes. Comparing with other, more traditional, 3D recovery methods, the proposed method provides more accurate results.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125739721","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
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