{"title":"Emitter recognition based on modified X-means clustering","authors":"Y. Javed, A. Bhatti","doi":"10.1109/ICET.2005.1558907","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558907","url":null,"abstract":"This paper presents a new algorithm to divide multidimensional data into clusters. It enhances the K-means clustering algorithm (Linde-Buzo-Grey) so that the number of clusters is determined at run time. The paper uses radar classification problem as an example application. Most of naturally existing processes possess Gaussian distribution because of central limit theorem. This paper assumes that parameters of radars are Gaussian. Chi-squared test for goodness of fit is used far evaluating the hypothesized distribution from sampled data. The data is divided and output of chi-squared test is used to decide whether to carry on sub-clustering or not. Test results on simulated data are shown to demonstrate the working of algorithm.","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125471796","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}
M. Channa, Waqqar Mahmood, Ahsan Chaudhry, Noor Mustafa
{"title":"A multi - priority application framework for heterogeneous ad hoc networks","authors":"M. Channa, Waqqar Mahmood, Ahsan Chaudhry, Noor Mustafa","doi":"10.1109/ICET.2005.1558858","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558858","url":null,"abstract":"Mobile ad hoc networks have become, quite common nowadays. The usage of voice and video applications over these networks has created various challenges for research community. Real-time applications require certain guarantees in terms of throughput, delay, jitter and packet loss ratio from the underlying network. Legacy MAC layers do not provide service/traffic differentiation and treat both real-time and best-effort traffic equally. We propose an architecture for heterogeneous ad hoc networks that provides service differentiation. It gives better treatment to high priority traffic. More transmission time is allocated to high priority traffic, which improves its throughput and reduces end-to-end delay. Real-time traffic is allowed to transmit a burst of packets without contending for channel access, known as transmit opportunity (TXOP). A novel route, repair scheme, called AODV real repair (AODV-RR) is also proposed that tries its best to locally repair a broken route and minimize the real-time packet loss under heavy traffic load","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124540613","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}
Abolfazl Jalilvand, S. Khanmohammadi, F. Shabaninia
{"title":"Petri net-based modeling and simulation of a hybrid manufacturing system","authors":"Abolfazl Jalilvand, S. Khanmohammadi, F. Shabaninia","doi":"10.1109/ICET.2005.1558912","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558912","url":null,"abstract":"Dynamic systems with a mix of continuous and discrete components called hybrid systems frequently arise in engineering applications. By modeling these different components using differential equations and discrete events, it is possible to represent a wide range of phenomena present in physical and technological systems. Since many of these applications are safety critical, if is important to use reliable methods to simulate hybrid systems. In this paper we deal with modeling and simulation of hybrid systems using an extended form of timed Petri net. The proposed method is used for modeling of a robotic manufacturing system. The simulation results are obtained by a modified Petri net toolbox.","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114261023","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}
S. A. Hassan, I. Askari, M. Fareed, K. Munawar, M. Malik
{"title":"Development of a 2 degrees of freedom tracking system. Part III: system modeling","authors":"S. A. Hassan, I. Askari, M. Fareed, K. Munawar, M. Malik","doi":"10.1109/ICET.2005.1558929","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558929","url":null,"abstract":"The problem of tracking moving objects using a moving camera in real time is a complex one which requires a highly stable platform and a robust control algorithm. This paper is a continuation of our previous papers in which we discussed the design and digital control routine of a 2DOF stable platform with coupled joint. In the previous paper we implemented a non-model based PI controller that proved sufficient for static targets, however for image based tracking, a number of non-linear forces are affecting the system and such scenarios require model-based controllers. The design of model based controller starts with model selection and then the estimation of its parameters. In this paper we deal with the modeling and parameters estimation of a 2 DOF platform using the least squares method.","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132495365","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}
M. Khan, M. T. Ibrahim, M. K. Khan, Mohammad A. U. Khan
{"title":"Cross correlation measure for decision fusion among multiple face classifiers","authors":"M. Khan, M. T. Ibrahim, M. K. Khan, Mohammad A. U. Khan","doi":"10.1109/ICET.2005.1558867","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558867","url":null,"abstract":"We have developed a classifier decision fusion measure which is used as framework for combining multiple classifier decisions. The combination of different sources of information about a face, in the form of different feature sets and classification methods, provides an opportunity to develop an improved level of verification compared to the use of a single set of classifiers. Recently, the face recognition method based on principal component analysis (PCA) and directional filter bank (DFB) responses is integrated with voting algorithm. We look at the possibility of using cross correlation as a measure to compare the outputs of various classifiers. In our system recognition ability of the PCA is enhanced by providing directional images as inputs and then using the normalized cross correlation as a decision fusion measure. The proposed method fuses the decisions of DFB-PCA on the basis of maximum cross correlation of each directional test image with mean of its respective directional class. The experiment results showed the remarkable recognition rate of 97% in Olivetti data set","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114667227","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":"Emitter recognition using fuzzy inference system","authors":"S. Hassan, A. Bhatti, A. Latif","doi":"10.1109/ICET.2005.1558881","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558881","url":null,"abstract":"Emitter recognition is the problem of classifying the radar type, from intercepted radar signals. This capability is crucial for classifying approaching enemy ships and aircrafts. The sensed parameters may vary from their actual or reported values because of man-made variations in the form of agility or staggering. Another cause of variation could be dispersion because of atmospheric effects and equipment noise. Associating the measured radar parameter set with a know sighting is a pattern recognition problem in multi-dimensional space. Various research authors have attacked the problem with various data association tools with different merits and de-merits. Most of them are marred by the massive computing power required and unrealistically large training data requirements. In this paper a simple but elegant technique is proposed to solve the above problem using well-established framework of fuzzy logic","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124436248","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":"Mobility patterns for mobile ad hoc network using OLSR","authors":"K. Mirza, A. Iqbal","doi":"10.1109/ICET.2005.1558863","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558863","url":null,"abstract":"Distributed inobility patterns based on relative speed, random lirectiotn of mobile nodes with variable communication range in mobile ad hoc networks are proposed. In these patterns, transient disturbances in routing tables and neighbor tables due to,fast moving nodes and their effect on perlbrmance of network is considered. We introduced the concept of communication range and remoteness for mobile nodes and integrate these with the mobility of nodes 'through random waypoint mobility motel. We characterized the mobility of nodes with new mobility patterns through optimized link state routing tOLSR) protocol, without breaking the backward compatibility with earlier versions. Simulation results show that communication range shotuld have valute constraint according to mobility of nodes wm'ithin network. Throughput also increases dur-ing mobility of todes after establishing bidirectional link without any forwarding node as compared to static network.","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121626640","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":"A framework for object oriented component testing","authors":"F. Jabeen, M. Jaffar-Ur-Rehman","doi":"10.1109/ICET.2005.1558924","DOIUrl":"https://doi.org/10.1109/ICET.2005.1558924","url":null,"abstract":"Component based software systems are becoming prevalent at a rapid pace. This advance not only expedites the efficient development of large software systems, it also enhances reusability. With it comes the need to adequately test these components based on their application and integration in each system. The unavailability of source code precludes extrapolating standard testing approaches, and requires developing procedures that provide each user with sufficient information to allow adequate testing in each usage environment. In this paper, an object oriented component test framework is proposed that relics on utilization of discrete descriptors to facilitate test execution and to enable a uniform information flow. The component provider, user, and third party tester, each have responsibility for descriptors unique to their perspective, eliminating the dilemma of missing testing information.","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066700","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}