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The pressure altitude computation using artificial neural network for Air Data Computer 大气数据计算机用人工神经网络计算气压高度
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711745
I. Turkmen, Yasin Korkmaz
{"title":"The pressure altitude computation using artificial neural network for Air Data Computer","authors":"I. Turkmen, Yasin Korkmaz","doi":"10.1109/ISSPIT.2010.5711745","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711745","url":null,"abstract":"Air Data Computer (ADC) calculates the key data necessary for performing a safe flight and accurate air navigation. Altitude information is one of the important parameter computed by the ADC. Accuracy of the altitude corrected using tables or charts showing the actual corrections in altitude information special to aircraft type. This correction is important in any high performance and jet aircraft. In order to correct these imperfections, certain calibrations need to be made within the ADC. In this paper, artificial neural networks (ANNs) are used to calculate altitude information more easily and accurately using data obtained from tables formed under standard atmosphere conditions.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388635","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
Hierarchical clustering of 3-D line segments for building detection 用于建筑物检测的三维线段分层聚类
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711732
Dong-Chul Park
{"title":"Hierarchical clustering of 3-D line segments for building detection","authors":"Dong-Chul Park","doi":"10.1109/ISSPIT.2010.5711732","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711732","url":null,"abstract":"A novel approach for an efficient extraction of rectangular boundaries from aerial image data is proposed in this paper. In this approach, a Centroid Neural Network (CNN) with a metric of line segments is utilized for connecting low-level linear structures or grouping similar objects. The proposed an approach, called hierarchical clustering method, utilizes the fact that rooftops of a building are about the same height and perform clustering process with candidate 3-D line segments with similar heights. Experiments are performed with a set of high resolution satellite image data. The results show that the proposed hierarchical clustering method can remove noisy segments such as shade lines efficiently and find more accurate rectangular boundaries.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"507 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123565798","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
An improved lattice-reduction aided MMSE detection with SIC and QRM in MIMO systems 在MIMO系统中，一种改进的栅格减少辅助SIC和QRM的MMSE检测
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711797
Tomohito Nozoe, H. Negishi, T. Shimokawa, T. Fujino
{"title":"An improved lattice-reduction aided MMSE detection with SIC and QRM in MIMO systems","authors":"Tomohito Nozoe, H. Negishi, T. Shimokawa, T. Fujino","doi":"10.1109/ISSPIT.2010.5711797","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711797","url":null,"abstract":"This paper proposes a lattice-reduction aided detection (LRAD) based successive interference cancellation (SIC). The proposed detector achieves as good as or better BER performances than the conventional LR aided MMSE detector and using the SIC for QPSK, 16QAM and 64QAM in the 8×8 MIMO systems. It also achieves BER curves to be as steep as or steeper than those using the maximum likelihood detector.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122772025","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
Sunspot series prediction using a Multiscale Recurrent Neural Network 基于多尺度递归神经网络的太阳黑子序列预测
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711781
Tae-Hyun Kim, Dong-Chul Park, Dong-Min Woo, Woong Huh, Chung-Hwa Yoon, Hyen-Ug Kim, Yunsik Lee
{"title":"Sunspot series prediction using a Multiscale Recurrent Neural Network","authors":"Tae-Hyun Kim, Dong-Chul Park, Dong-Min Woo, Woong Huh, Chung-Hwa Yoon, Hyen-Ug Kim, Yunsik Lee","doi":"10.1109/ISSPIT.2010.5711781","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711781","url":null,"abstract":"A prediction scheme for sunspot series using a Multiscale Bilinear Recurrent Neural Network (M-BRNN) is proposed in this paper. The recurrent neural network adopted in this scheme is the Bilinear recurrent neural network. The M-BRNN is a combination of several Bilinear Recurrent Neural Network (BRNN) models. Each BRNN predicts a signal at a certain resolution level obtained by the wavelet transform. In order to evaluate the performance of the proposed M-BRNN-based predictor, experiments are conducted on the Wolf sunspot series number data and the resulting prediction accuracy is compared with those of conventional MultiLayer Perceptron Type Neural Network (MLPNN)-based and BRNN-based predictors. The results show that the proposed M-BRNN-based predictor outperforms the MLPNN-based and BRNN-based predictors in terms of the Normalized Mean Squared Error (NMSE).","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128617888","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
Performance evaluation of ZRP in adhoc mobile wireless network using Qualnet simulator 利用Qualnet模拟器对自组织移动无线网络中ZRP的性能进行评估
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711752
M. SreeRangaRaju, J. Mungara
{"title":"Performance evaluation of ZRP in adhoc mobile wireless network using Qualnet simulator","authors":"M. SreeRangaRaju, J. Mungara","doi":"10.1109/ISSPIT.2010.5711752","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711752","url":null,"abstract":"Without any pre-existing fixed network infrastructure with rapid configuration of wireless connections on-the-fly, network topology in MANETs keep on changing rapidly. Thus achieving data transmissions between wireless nodes in MANETs with improved QoS parameters become a challenging issue. To achieve this one has to concentrate on the routing protocol they choose. In our paper we proposed an algorithm to provide improved quality of service via hybrid routing protocol-Zone Routing Protocol (ZRP). We have considered two reactive routing protocols Dynamic Source Routing (DSR) and Ad hoc On Demand Distance Vector (AODV) as reference for analyzing ZRP by considering route acquisition delay and quick route reconfiguration during link failure. These parameters viz., route acquisition delay and quick route reconfiguration have their impact on increase in end to end delay, this automatically decreases the number of packets received thus the throughput. We used well known network simulator QualNet version 4.5 to compare QoS parameters viz., throughput, number of bytes received, number of packets received, average end-to-end delay and the time at which first packet is been received for DSR, AODV and ZRP.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600907","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
A novel transform based face watermarking approach for security and data hiding applications 一种新的基于变换的人脸水印方法，用于安全和数据隐藏应用
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711787
G. Fahmy
{"title":"A novel transform based face watermarking approach for security and data hiding applications","authors":"G. Fahmy","doi":"10.1109/ISSPIT.2010.5711787","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711787","url":null,"abstract":"In this paper we proposed a novel technique for watermarking facial images into different background images in an invisible manner. This facial image can be extracted blindly from the watermarked image without any prior knowledge about the background image (blindly). More over the proposed technique can still deliver an extracted face image even in the presence of noise, compression or cropping of the watermarked image, but with some visual quality degradation. This embedding/extraction methodology is fake-free and robust against compression, noise and cropping attacks. The proposed approach consists of an insertion part and an extraction part. The proposed approach is based upon the natural preserve transform technique that achieves a balance between energy concentration and energy distribution; hence it is best used for watermarking images. Extensive simulation results on several facial and background images, that demonstrate the effectiveness of the proposed technique, are illustrated in comparison with current watermarking methods in the literature.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128840628","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
Parallel processing techniques for the processing of synthetic aperture radar data on FPGAs fpga合成孔径雷达数据处理的并行处理技术
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2011.6151626
William Chapman, S. Ranka, S. Sahni, M. Schmalz, U. Majumder, L. Moore, B. Elton
{"title":"Parallel processing techniques for the processing of synthetic aperture radar data on FPGAs","authors":"William Chapman, S. Ranka, S. Sahni, M. Schmalz, U. Majumder, L. Moore, B. Elton","doi":"10.1109/ISSPIT.2011.6151626","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151626","url":null,"abstract":"This paper presents a design for the parallel processing of synthetic aperture radar data using one or more Field Programmable Gate Arrays (FPGAs). Our design supports real-time computation of a two-dimensional image from a matrix of echo pulses and their corresponding response values. Components of this design include: (a) central processing pipeline to perform back projection calculations, (b) pre-fetch cache to minimize external memory access latency, (c) memory bridge that serves as the primary on-chip storage for pulse data, and (d) a pixel queue to direct image data in and out of the pipeline. Design parameters may be adjusted to achieve optimum performance, and multiple instances of this design may be replicated on-chip to achieve prespecified performance objectives. We provide a complexity analysis as a function of the input and output parameters. Simulation results based on an implementation of this design show that our design achieves 160 GFLOPs per instance on a simulated Altera Stratix III EP3SL150 FPGA, and scales well for output image size ranging from 500 × 500 pixels to 5,000 × 5,000 pixels.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"368 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114859556","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: 23
Automatic modulation classification for underwater acoustic Communications 水声通信的自动调制分类
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711766
N. Alyaoui, A. Kachouri, M. Samet
{"title":"Automatic modulation classification for underwater acoustic Communications","authors":"N. Alyaoui, A. Kachouri, M. Samet","doi":"10.1109/ISSPIT.2010.5711766","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711766","url":null,"abstract":"This paper reviews an approach for the automatic classification of digital modulation in the underwater acoustic environment. The underwater acoustic communication is affected by many factors such as; Doppler spread (so high than that for the radio frequency's communications), noise and multi-path. Any classification technique, applied to recognize the most popular modulations' types used in underwater environment such as PSK, FSK and OFDM, should take these elements into consideration to mark the best performances. First, we present the two algorithms to identify automatically the type of the modulated signals. In the second part, we calculate the probability of correct classification to evaluate their performance.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121868809","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
Performance of an optoelectronic expert system for massively parallel knowledge base applications 面向大规模并行知识库应用的光电专家系统性能研究
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711739
S. Ghoniemy, O. Karam
{"title":"Performance of an optoelectronic expert system for massively parallel knowledge base applications","authors":"S. Ghoniemy, O. Karam","doi":"10.1109/ISSPIT.2010.5711739","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711739","url":null,"abstract":"In this paper a mapped-template logic-based parallel optoelectronic processor is proposed for expert systems in order to achieve high speed and high performance for massively parallel processing of rule-based systems. The proposed system is implemented using two-dimensional space optics symbolic correlator. Also in this paper, an optoelectronic system for a parallel inference engine is presented. The proposed optical inference engine infers conclusions to queries by representing knowledge (facts and rules) in 2D space using a matrix-like formulation. Performance evaluation algorithms for both search and reasoning are presented. Performance enhancement technique is also discussed in this paper. The performance analysis of the proposed system shows its remarkably improved performance compared with multiprocessor electronic systems using conventional programming.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"213-215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130714913","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
A new technique for blind source separation of post nonlinear mixture 后非线性混合信号盲源分离新技术
The 10th IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2010-12-15 DOI: 10.1109/ISSPIT.2010.5711777
M. Fahmy, U. S. Mohammed, N. A. Saleh
{"title":"A new technique for blind source separation of post nonlinear mixture","authors":"M. Fahmy, U. S. Mohammed, N. A. Saleh","doi":"10.1109/ISSPIT.2010.5711777","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711777","url":null,"abstract":"This paper presents a new method for solving post-nonlinear blind source separation (PNLBSS). It proposes a modified Gaussianization technique for recovering PNLBSS systems. The proposed technique overcomes the failure of classical Gaussianization schemes to work properly in some PNL mixture with severe nonlinearity characteristics. It is found that the failure is due to the multi-modality of the probability distributions (pdf), of the received nonlinear mixture. In order to estimate the eceived pdf, the paper proposes an accurate nonparametric evaluation of the signal's pdf and its entropy functions . The pdf estimation is based on using Bspline wavelet transform as the smoothing filter for the data histogram distribution. The paper also proposes a pre-mapping scheme that transforms multi-modal pdf to a uni-modal one, and thereby makes them Gaussianable. Several illustrative examples are given, to verify the ability of the proposed technique to estimate signal's pdf, recover PNLBSS mixture with severe nonlinearity characteristics.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128884857","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
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