{"title":"Semantic Intertwine: The anathema of Mathematics","authors":"J. S. Quinton","doi":"10.1109/UKRICIS.2010.5898155","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898155","url":null,"abstract":"The recent scientific observation that human information processing involves four independent data types, has pinpointed a source of fallacious arguments within many domains of human thought. Our species-unique ability to assign observable characteristics to purely conceptual entities has created beautiful poetry and literature. However, this ability to generate ‘Semantic Intertwine’ has also created our most incomprehensible paradoxes and conundrums. Semantic Intertwine can be created between, or within, Semantic Categories; and in either case it then lies at the heart of fallacious, yet often very persuasive, reasoning. This paper describes how to detect mathematically-related Semantic Intertwine in erroneous arguments involving: operands (VIII), mathematical induction (VIIA), orthogonal axiom sets (VIIB), continuous functions (VIIA), exclusive disjunction (VIIA), propositional calculus (VI) and the hitherto thorny problems arising from ambiguous intra-category use of ‘infinity’ (VIIB).","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":"132522347","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":"Parameter analysis of Reynolds flocking model","authors":"J. Eversham, Virginie F. Ruiz","doi":"10.1109/UKRICIS.2010.5898089","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898089","url":null,"abstract":"The classic Reynolds flocking model is formally analysed, with results presented and discussed. Two measurements of flocking, flock area and polarisation are given. The number of birds is identified as the major factor that impacts both of these measurements. Remaining flocking model rules are considered in terms of their impact on flock area, with predicted results compared against experimental observations.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"27 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132153166","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":"More nested velocity feedback control","authors":"R. Mitchell","doi":"10.1109/UKRICIS.2010.5898102","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898102","url":null,"abstract":"Nested velocity feedback was first introduced in the design of the Cherry Amplifier, and more recently the author has shown how it can be used for the control of type 0 systems. The main advantage of the technique is that it makes systems more robust against changes in the output stage of the system. This paper demonstrates an interesting result as regards sensitivity to such changes, and it describes a new algorithm for applying the method successfully for controlling type 1 systems.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"42 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":"125297031","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":"Distance-invariant sign detection in high-definition video","authors":"Thomas Warsop, Sameer Singh","doi":"10.1109/UKRICIS.2010.5898097","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898097","url":null,"abstract":"High-Definition video can provide useful information regarding distant objects. For example, when trying to detect traffic signs. However, current detection methods have not been thoroughly tested in terms of their ability to detect signs over changing distance. In this work, we present such an experimental comparison of detection methods. We also present a novel object detection method based on colour cooccurrence data, specifically designed to provide robust detection with varying sign distance. Experimental results show that our new method performs competitively with existing methods-providing consistent detection accuracy despite distance between observer and sign.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"10 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":"126786572","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 cooperative UAV Visual SLAM","authors":"A. Nemra, N. Aouf","doi":"10.1109/UKRICIS.2010.5898125","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898125","url":null,"abstract":"This paper aims at proposing a framework for Airborne Cooperative Visual Simultaneous Localization and Mapping (C-VSLAM). The use of cooperative vehicles presents many advantages over single-vehicle architecture. We present a nonlinear H∞ filtering scheme adapted to multiple Unmanned Aerial Vehicle (UAV) VSLAM based on the extension of a robust single vehicle VSLAM solution. Loop closure concept, based on revisited features is described with feature uncertainty analysis. Comparisons between single and multiple UAV VSLAM are made using realistic simulation scenario.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"10 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":"126502966","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":"Total variational image denoising. Influence of noise distribution: Comparison analysis","authors":"M. Oussalah, Intekhab Alam","doi":"10.1109/UKRICIS.2010.5898119","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898119","url":null,"abstract":"In this paper we review the total variation image denoising schemes and highlight the various approaches to tune the employed regularization parameters. An experimental set-up, which uses both the geometrical and intensity variation of the noise, is designed to compare the performances of the various implemented schemes according to a set of metrics.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"16 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113964718","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}
R. Thompson, A. Laws, D. Reilly, A. Taleb-Bendiab, D. Llewellyn-Jones
{"title":"A cybernetic case study of viable computing systems: A framework for requisite variety via algorithmic hot-swapping","authors":"R. Thompson, A. Laws, D. Reilly, A. Taleb-Bendiab, D. Llewellyn-Jones","doi":"10.1109/UKRICIS.2010.5898107","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898107","url":null,"abstract":"This paper presents a case study considering algorithmic hot swapping in the context of research surpassing Autonomic Computing, towards Viable Computing Systems. Cybernetic, mathematical and biological metaphors are allied to the human autonomic agent capability of the managerial cybernetics underscoring Beer's Viable System Model (VSM). A dual-perspective set theory design grammar model is employed exhibiting relationships between the systems and the recursive levels of the VSM. By incorporating the environment as part of the system, the technique promotes both portability and viability within an initially closed, yet changing, environment. Algorithmic hot swapping has been used to provide a repertoire of tailored responses to environmental change within this context. Systemic emergence and viability is thereby promoted, whilst an associated Learning Classifier System (LCS) is suggested to allow the system to develop an adaptive environmental model of appropriate, optimized responses, similarly demonstrating proof of the temporal and autonomic properties of the VCS concept.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"58 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114028479","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":"Cavalcade neural network for mobile robot","authors":"C. Bamford, R. Mitchell","doi":"10.1109/UKRICIS.2010.5898087","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898087","url":null,"abstract":"Spiking neural networks are usually limited in their applications due to their complex mathematical models and the lack of intuitive learning algorithms. In this paper, a simpler, novel neural network derived from a leaky integrate and fire neuron model, the ‘cavalcade’ neuron, is presented. A simulation for the neural network has been developed and two basic learning algorithms implemented within the environment. These algorithms successfully learn some basic temporal and instantaneous problems. Inspiration for neural network structures from these experiments are then taken and applied to process sensor information so as to successfully control a robot.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"31 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":"114258999","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":"Colour based road sign detection and extraction from still images","authors":"R. Malik, Sana Nazir, J. Khurshid","doi":"10.1109/UKRICIS.2010.5898114","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898114","url":null,"abstract":"This paper presents a system for the detection of road signs from a road scene image and extracts the pictogram inside the sign. The detection is carried out on basis of colour information of road signs instead of edge information from grayscale images. The presented colour based detection process is invariant to the common problems in road signs i.e. shadow, highlight and general affine transformation and rotation. However owing to the problems addressed in the process, it can be stated that the colour information alone is inadequate for segmentation process. Using some edge based segmentation methodology alongside would increase the detection process' performance. The idea presented in the paper is through detection of road signs with red boundaries and white interior containing black pictograms. More colours with thresholds and shapes with their Hue moments can be added without any change in the general detection methodology; colour segmentation and shape analysis. HSV colour space is adopted for colour segmentation which makes detection invariable to high-lights and illumination changes. While affine moments are used for shape analysis, which makes it invariant to rotation and scale.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"59 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":"116132235","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}
Vahid Abrishami, G. T. Tabrizi, H. Deldari, Maryam Sabzevari
{"title":"A fuzzy based Hopfield network for partitional clustering","authors":"Vahid Abrishami, G. T. Tabrizi, H. Deldari, Maryam Sabzevari","doi":"10.1109/UKRICIS.2010.5898145","DOIUrl":"https://doi.org/10.1109/UKRICIS.2010.5898145","url":null,"abstract":"This paper proposes a new clustering algorithm which employs an improved stochastic competitive Hopfield network in order to organize data patterns into natural groups, or clusters, in an unsupervised manner. To overcome the problem of uncertainty for clustering, this Hopfield network employs a fuzzy based energy function. Additionally, a chaotic variable is introduced in order to escape from the local minima and gain a better clustering. By maximizing the degree of membership for each data item in a cluster using Hopfield network, we achieve a superior accuracy to that of the best existing algorithms such as optimal competitive Hopfield model, stochastic optimal competitive Hopfield network, k-means and genetic algorithm. The experimental results demonstrate the scalability and robustness of our algorithm over large datasets.","PeriodicalId":359942,"journal":{"name":"2010 IEEE 9th International Conference on Cyberntic Intelligent Systems","volume":"1 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":"130877597","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}