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Artificial Neural Network for the Analysis of Electroencephalogram 用于脑电图分析的人工神经网络
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286089
K. Nayak, T. Padmashree, S. Rao, N. U. Cholayya
{"title":"Artificial Neural Network for the Analysis of Electroencephalogram","authors":"K. Nayak, T. Padmashree, S. Rao, N. U. Cholayya","doi":"10.1109/ICISIP.2006.4286089","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286089","url":null,"abstract":"Electroencephalography is an important tool for diagnosing, monitoring and managing neurological disorders related to epilepsy. The presence of epileptiform activity in the electroencephalogram (EEG) confirms the diagnosis of epilepsy. During the seizures, the scalp of patients with epilepsy is characterized by high amplitude synchronized periodic EEG waveforms, reflecting abnormal discharge of a large group of neurons. Between the seizures, the electroencephalogram (EEG) of the patients who suffer from epilepsy is normally characterized by occasional spikes or spike and wave complexes (inter-ictal activity). It is difficult to detect these and sometimes is missed by the clinicians who observe the paper records. The purpose of the work describes the automated detection of epileptic events based on wavelet analysis of electroencephalogram. Three layered feedforward back-propagation artificial neural network (ANN) is designed to classify the epileptic seizure and non-epileptic seizure.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128257837","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
Intelligent Sensors In Software: The Use Of Parametric Models For Phase Noise Analysis 软件中的智能传感器:使用参数模型进行相位噪声分析
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286095
A. Chorti, Dimosthenis Karatzas, N. White, C. Harris
{"title":"Intelligent Sensors In Software: The Use Of Parametric Models For Phase Noise Analysis","authors":"A. Chorti, Dimosthenis Karatzas, N. White, C. Harris","doi":"10.1109/ICISIP.2006.4286095","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286095","url":null,"abstract":"Intelligent senors have attracted particular attention in the recent past. This paper argues that an \"intelligent sensor\" should be able to perform on-board signal processing within the sensor's software in order to produce the optimal signal output. A generic intelligent sensor software architecture is described which builds upon the basic requirements of related industry standards. In this framework, advanced signal processing analyses and algorithms need to be employed. As a case study, we present a novel approach for the analysis of the effect of phase noise in devices such as chemical SAW sensors, gyroscopes, biochemical acoustic wave resonator based sensors and accelerometers.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124255754","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
Optimal Rule Extraction of RBFN Based System Using Hierarchical Self Organised Evolution 基于层次自组织进化的RBFN系统最优规则提取
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286100
S. Mukhopadhyay, A. Mandal
{"title":"Optimal Rule Extraction of RBFN Based System Using Hierarchical Self Organised Evolution","authors":"S. Mukhopadhyay, A. Mandal","doi":"10.1109/ICISIP.2006.4286100","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286100","url":null,"abstract":"Abstract The fuzzy if-then rule extraction invariably assumes a preassigned structure instead of an optimal one. The paper presents the development of a hierarchical self organized radial basis function network (RBFN) that simultaneously evolve the structure and parameter of the Fuzzy rule-base. Robust particle swarm optimization (RPSO) is used as a tool for the learning of the state reproducing the result repeatedly with a preassigned value of iteration. Also the multi dimensional crossover vector is introduced as a set of Accommodation Boundary of the data set to employ desired number of linguistic fuzzy rules. Experiments conducted and comprehensive analyses show that the proposed method produces smaller number of rules with respect to the other methods along with comparable error. Also the computational time for learning will decrease significantly in this method as the concept of iteration during a learning cycle has been removed. The effect of different membership function has also been studied during the recruitment of node.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124533023","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
Indexing of Document Images Based on Nine-Directional Codes 基于九向码的文档图像索引
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286050
N. Punitha, D. S. Guru
{"title":"Indexing of Document Images Based on Nine-Directional Codes","authors":"N. Punitha, D. S. Guru","doi":"10.1109/ICISIP.2006.4286050","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286050","url":null,"abstract":"In this paper, a new scheme of indexing and retrieval of document images based on B-tree is proposed. A new technique of labeling components in document images and also a document image representation technique based on nine-directional codes (NDC) are proposed. A procedure for classifying the retrieved images and a method of ranking the retrieved document images are also proposed. The retrieval results of the proposed NDC based indexing scheme are compared with the retrieval results of human experts. The experiments are conducted on the MediaTeam document image database that provides diverse collection of document images.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131972301","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
Data-Centric Routing using Bloom Filters in Wireless Sensor Networks 在无线传感器网络中使用布隆滤波器的数据中心路由
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286065
P. Hebden, A. Pearce
{"title":"Data-Centric Routing using Bloom Filters in Wireless Sensor Networks","authors":"P. Hebden, A. Pearce","doi":"10.1109/ICISIP.2006.4286065","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286065","url":null,"abstract":"This paper presents a paradigm for reducing communication costs in wireless sensor networks. The first component is our Distributed Asynchronous Clustering protocol (DAC), which self-organises the network into an infrastructure that supports in-network processing, routing, and deployment. The second component, and the focus of this paper, is a data-centric routing protocol where cluster heads build and maintain sets of Bloom filters to inform routing decisions and filter out unproductive messages. While other data-centric protocols use a flat topology and rely to some extent on flooding, our protocol exploits a two tier hierarchy to provide an adaptable, scalable, and intelligent routing service that is expected to reduce the number of transmissions and extend network lifetime.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131476693","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: 25
Distributed Asynchronous Clustering for Self-Organisation of Wireless Sensor Networks 无线传感器网络自组织的分布式异步聚类
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286056
P. Hebden, A. Pearce
{"title":"Distributed Asynchronous Clustering for Self-Organisation of Wireless Sensor Networks","authors":"P. Hebden, A. Pearce","doi":"10.1109/ICISIP.2006.4286056","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286056","url":null,"abstract":"This paper presents a fully distributed asynchronous clustering protocol for the self-organisation of a wireless sensor network into an infrastructure of well separated cluster heads that supports in-network processing, routing, and deployment. In this protocol, nodes volunteer asynchronously for cluster head duty and use a radio beacon to preemptively recruit members. Limited beacon range is used as the primary parameter for self-organisation. The resulting topology substantially reduces total transmission distance and the expected energy consumed by radio communication. To further extend network lifetime and capability, well separated cluster heads may be easily located and replaced by more powerful devices","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"282 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127490341","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: 11
Interference Cancellation in FECG using Artificial Intelligence Techniques 利用人工智能技术消除feg干扰
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286090
C. Kezi Selva Vijila, P. Kanagasabapathy, Stanly Johnson Jeyaraj, K. Rajasekaran
{"title":"Interference Cancellation in FECG using Artificial Intelligence Techniques","authors":"C. Kezi Selva Vijila, P. Kanagasabapathy, Stanly Johnson Jeyaraj, K. Rajasekaran","doi":"10.1109/ICISIP.2006.4286090","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286090","url":null,"abstract":"In this paper, artificial intelligence like hybrid neuro fuzzy logic technique is proposed to cancel the major non-linear interference called maternal electrocardiogram for the extraction of fetal electrocardiogram (FECG). Conventional filtering techniques are not suitable due to an overlap in spectral content of the fetal and the interference. The performance evaluation of the proposed technique is done on the extracted fetal signal in terms of signal to noise ratio, mean square error, and number of membership functions, learning rates and processing time. Comparison is made between the proposed technique and the neural network. It shows that neuro fuzzy logic successfully cancels the interference in fetal electrocardiogram.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122764204","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
Fisher Linear Discriminant Analysis based Technique Useful for Efficient Character Recognition 基于Fisher线性判别分析的有效字符识别技术
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286060
Manjunath Aradhya, G. Kumar, S. Noushath, P. Shivakumara
{"title":"Fisher Linear Discriminant Analysis based Technique Useful for Efficient Character Recognition","authors":"Manjunath Aradhya, G. Kumar, S. Noushath, P. Shivakumara","doi":"10.1109/ICISIP.2006.4286060","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286060","url":null,"abstract":"This paper describes the character recognition process from printed documents containing Kannada and English text. Kannada is the fifth most popular language in India and English is the most popular language in the world. Kannada is the language spoken by more than 60 million people of South India and English is the second official language at various government organizations through out India. The proposed character recognizer is based on the Fisher linear discriminant (FLD) analysis. It is usually performed to investigate differences among multivariate classes, to determine which attributes discriminate the classes, and to determine the most parsimonious way to distinguish among classes. The proposed system is tested on various fonts, degraded characters, noisy characters of Kannada and English. The overall accuracy of the proposed system is 96.1%.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128640163","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
Automatic text block separation in document images 文档图像中的自动文本块分离
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286061
Arvind K R, Peeta Basa, Pati, A. Ramakrishnan
{"title":"Automatic text block separation in document images","authors":"Arvind K R, Peeta Basa, Pati, A. Ramakrishnan","doi":"10.1109/ICISIP.2006.4286061","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286061","url":null,"abstract":"Separation of printed text blocks from the non-text areas, containing signatures, handwritten text, logos and other such symbols, is a necessary first step for an OCR involving printed text recognition. In the present work, we compare the efficacy of some feature-classifier combinations to carry out this separation task. We have selected length-normalized horizontal projection profile (HPP) as the starting point of such a separation task. This is with the assumption that the printed text blocks contain lines of text which generate HPP's with some regularity. Such an assumption is demonstrated to be valid. Our features are the HPP and its two transformed versions, namely, eigen and Fisher profiles. Four well known classifiers, namely, nearest neighbor, linear discriminant function, SVM's and artificial neural networks have been considered and efficiency of the combination of these classifiers with the above features is compared. A sequential floating feature selection technique has been adopted to enhance the efficiency of this separation task. The results give an average accuracy of about 96%.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116348363","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
Energy Efficient Routing in Adhoc Networks 自组织网络中的节能路由
2006 Fourth International Conference on Intelligent Sensing and Information Processing Pub Date : 2006-12-01 DOI: 10.1109/ICISIP.2006.4286098
T. Shivaprakash, G. Badrinath, N. Chandrakanth, K. Venugopal, L. Patnaik
{"title":"Energy Efficient Routing in Adhoc Networks","authors":"T. Shivaprakash, G. Badrinath, N. Chandrakanth, K. Venugopal, L. Patnaik","doi":"10.1109/ICISIP.2006.4286098","DOIUrl":"https://doi.org/10.1109/ICISIP.2006.4286098","url":null,"abstract":"In this paper, we address the problem of energy efficient routing in homogeneous and heterogeneous wireless ad hoc networks aiming at maximize the network lifetime. We define the network lifetime as the number of transmissions the node can perform until the first node fails due to battery exhaustion. In static networks we find a routing (spanning) tree which maximizes the network lifetime without tree update. We have proposed a Global weighted incremental power model and Global weighted post sweep for extending the life time of heterogeneous wireless ad hoc wireless network that gives better performance than the WBIP(weighted broadcast incremental protocol) implementation. We consider the amount of energy the node has compared to the maximum energy in network as the parameter in the cost metric function for constructing a efficient routing tree.","PeriodicalId":187104,"journal":{"name":"2006 Fourth International Conference on Intelligent Sensing and Information Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123810623","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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