{"title":"Algorithmic Air Data Computer Model for General Aviation Light Aircraft","authors":"K. Petrakou, E. Narlis, S. Voliotis","doi":"10.1109/ELMAR.2006.329553","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329553","url":null,"abstract":"The paper describes in detail the design of an algorithmic air data computer adequate to equip general aviation light aircraft. The details concerning the calculation of altitudes and air speed are described thoroughly. Simulated test results fully comply with the calculated data","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130686699","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":"Next Generation Network Laboratory Environment Used for Education and Research","authors":"E. Mikóczy, P. Podhradský","doi":"10.1109/ELMAR.2006.329578","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329578","url":null,"abstract":"This paper presents the conception of the next generation network (NGN) laboratory used for education and research projects at the Department of Telecommunication of the Slovak University of Technology in Bratislava. This article describes conception and structure of the laboratory environment for NGN technologies testing, as well as for implementation of NGN services and applications (also e-services like e-learning, e-consulting and e-collaborative work)","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389893","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":"Improving Quality of Video Signals Encoded by 3D DCT Transform","authors":"T. Fryza","doi":"10.1109/ELMAR.2006.329522","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329522","url":null,"abstract":"This paper deals with the properties of a compression method based on the 3D DCT. During the video compression process with 3D DCT the image data are transformed into frequency domain and the cross-correlation between adjacent pixels and even between frames is being removed without any quality loss. By implementing the quantization and thresholding operations, the number of 3D DCT coefficients is reducing. The situation is even worse while a group of encoded frames contains several types of video sequences, i.e. the cut is presents. In decompressed sequence the disturbing cross-fade effect is perceptible. In the next text a method for removing this effect based on the 3D DCT coder modifications is described","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125829555","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":"Motion Detection Based Multimedia Supported Intelligent Video Surveillance System","authors":"V. Zeljkovic, D. Pokrajac","doi":"10.1109/ELMAR.2006.329512","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329512","url":null,"abstract":"An integrated multimedia supported intelligent video surveillance system is proposed. The system is aimed to alleviate the disadvantages of the existing video-surveillance kits and provides advanced search, notification, visualization and alarming functionality through integration of artificial intelligence, motion detection and tracking technology, multimedia databases and Internet/cell phone connectivity. The effectiveness and feasibility of the proposed concept is proven through experimental results on a real-life video sequence","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128546618","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":"Acquisition of a Face Database for Video Surveillance Research","authors":"B. Klimpak, M. Grgic, K. Delac","doi":"10.1109/ELMAR.2006.329527","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329527","url":null,"abstract":"In this paper we describe a new database of human faces collected using commercially available video surveillance system, which included 6 surveillance cameras, professional video surveillance recording device, professional photographer's camera, and DVCAM digital camera. Our new face database consists of the following: 2990 face images, 130 subjects (130 different persons), 23 images per each subject (15 images taken with 5 surveillance cameras at three different distances; 6 images taken with 2 night-vision surveillance cameras at these three distances: 2 mug shot images taken with professional photographer's camera and night-vision camera). Besides, for each subject we have uncompressed face images at 9 different poses (from -90 degrees to +90 degrees, with the step of 22.5 degrees), and corresponding video sequence with subject's head moving from left to right and from bottom to top. Our new face database, according to our knowledge, is the first video surveillance face database. This database can be successfully used in different face recognition research areas","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122502842","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}
A. Petrovski, T. Kartalov, Z. Ivanovski, L. Panovski
{"title":"Blind Measurement and Reduction of Blocking Artifacts","authors":"A. Petrovski, T. Kartalov, Z. Ivanovski, L. Panovski","doi":"10.1109/ELMAR.2006.329518","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329518","url":null,"abstract":"A new method to reduce the severity of blocking artifacts in block DCT-based compressed images and video streams is presented in this paper. The proposed algorithm works in three steps: measurement of the visibility of the artifacts, edge detection, and adaptive processing of the degraded image. The first step is performed in the DCT domain, while steps two and three are performed in the spatial domain. The algorithm's performance is tested experimentally","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130309253","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}
V. Pasias, Dimitrios Alexios Karras, R. C. Papademetriou
{"title":"A Framework for Traffic Engineering and Routing in Survivable Multi-service High Bit Rates Optical Networks","authors":"V. Pasias, Dimitrios Alexios Karras, R. C. Papademetriou","doi":"10.1109/ELMAR.2006.329583","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329583","url":null,"abstract":"This paper presents a general framework for traffic engineering (TE) of primary and backup paths and routing of quality of service (QoS) and best-effort (BE) flows in multi-service high bit rates optical networks capable of surviving against single or multiple node and/or link failure(s). The aforementioned framework involves an off-line and an on-line phase. In the off-line phase either a method based on a integer linear programming (ILP) TE problem or a method based on a heuristic TE algorithm provides the primary and backup routes for the QoS-guaranteed flows, where backup paths are required, and the routes for the BE flows. In the on-line phase the QoS and BE flows are routed based on the outputs of the off-line phase. In the case that one or more primary paths fail the corresponding backup paths are used for restoration. However, if one or more backup paths also fail or a backup path is not defined, dynamic restoration is applied utilising a special source-routing algorithm. Implementation issues are also discussed and test results regarding the two off-line TE methods are presented","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"200 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114058639","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":"Band Decomposition of Voice Signals Using Wavelets Defined from Fractional B-spline Functions","authors":"A. Mesaros, S. Moldovan, Emil C. Lupu","doi":"10.1109/ELMAR.2006.329533","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329533","url":null,"abstract":"The B-spline functions constitute a good mathematical background for defining new wavelets. The fractional B-splines provide the only wavelets that have an explicit analytical form, making the mathematical manipulations easier. This paper proposes a decomposition of the voice signal into hierarchical octave bands, by using a fractional B-spline based wavelet decomposition. The proposed decomposition scheme takes into account the location of the formants, a particular feature of the voice signals. Each band is represented by its mean energy, and the resulting energy representation is tested for singing voice identification. Discriminant analysis is used, and the testing is done both on known and unknown data","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126853070","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":"Navigation in non-inertial terrestrial frames using the attitude matrices","authors":"T. Grigorie, D. Sandu, I. Aron","doi":"10.1109/ELMAR.2006.329550","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329550","url":null,"abstract":"The paper presents a numerical algorithm used to establish the position of a vehicle reported to the Earth 's geographical frame. The method we suggest based on the direct integration of the equation of inertial navigation, considering the vehicle's attitude as a result of the integration of the differential matriceal attitude equation. This integration is performed using a quick method, the induced commutation error being avoided with a numerical logistics which implies the usage of the data acquisition card from strap-down gyrometers in the navigation processor","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117343790","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":"Speaker Verification using HMM for Romanian Language","authors":"C. Dumitru, I. Gavat, R. Vieru","doi":"10.1109/ELMAR.2006.329532","DOIUrl":"https://doi.org/10.1109/ELMAR.2006.329532","url":null,"abstract":"In this paper we analyse a speaker verification system with fixed uttered text for Romanian language. The feature extraction in the system is based on perceptual cepstral analysis, giving the melfrequency cepstral coefficients. The acoustical modeling of speech in the statistical framework is based on hidden Markov models. To assess performance of the system, the models were trained with each speaker and than tested with all speakers, on our own database, containing speech data from ten speakers. The results are encouraging, a false acceptance error of 4% being achieved. Informal tests show the possibility to enhance this performance in a future work","PeriodicalId":430777,"journal":{"name":"Proceedings ELMAR 2006","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131391118","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}