Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525766
S. Gusev, O. Spirkina
The paper investigates a problem of increasing convergence rate for the process of adaptive weight vector adjustment in spatially reconfigurable antenna systems on the background of point-source interferences. It is shown that pre-processing with adjustment of adaptive antenna array element spacing gives the capability to reduce considerably eigenvalues spread of spatial correlation matrix and to obtain faster convergence of gradient adaptation algorithm.
{"title":"A research of an adaptation algorithm convergence using spatial signal pre-processing","authors":"S. Gusev, O. Spirkina","doi":"10.1109/MECO.2016.7525766","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525766","url":null,"abstract":"The paper investigates a problem of increasing convergence rate for the process of adaptive weight vector adjustment in spatially reconfigurable antenna systems on the background of point-source interferences. It is shown that pre-processing with adjustment of adaptive antenna array element spacing gives the capability to reduce considerably eigenvalues spread of spatial correlation matrix and to obtain faster convergence of gradient adaptation algorithm.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123363728","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525710
J. Y. Mori, M. Hübner
The technology convergence and the evolution of embedded systems to multi/many-core architectures allow envisioning future cameras as many-core systems able to process complex Image Processing and Computer Vision (IP/CV) applications. IP/CV algorithms have natural parallelism which must be efficiently explored to meet embedded application's constraints (real-time, power consumption, silicon area, temperature management, fault tolerance, and so on). In the case of many-core architectures, the efficiency comes not only from the number and type of processing cores but how they communicate and how the memory is organized. In this work, we show a multi-level parallelism study of IP/CV algorithms/applications, analyzing how to explore the different features available in many-core architecture's design space. The analysis is performed using a high-level SystemC/TLM2.0 platform specially developed for this task. As results, we propose a hierarchical parallelism extraction, a transparent programming model and a many-core architecture template for the next generation of vision processors.
{"title":"Multi-level parallelism analysis and system-level simulation for many-core Vision processor design","authors":"J. Y. Mori, M. Hübner","doi":"10.1109/MECO.2016.7525710","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525710","url":null,"abstract":"The technology convergence and the evolution of embedded systems to multi/many-core architectures allow envisioning future cameras as many-core systems able to process complex Image Processing and Computer Vision (IP/CV) applications. IP/CV algorithms have natural parallelism which must be efficiently explored to meet embedded application's constraints (real-time, power consumption, silicon area, temperature management, fault tolerance, and so on). In the case of many-core architectures, the efficiency comes not only from the number and type of processing cores but how they communicate and how the memory is organized. In this work, we show a multi-level parallelism study of IP/CV algorithms/applications, analyzing how to explore the different features available in many-core architecture's design space. The analysis is performed using a high-level SystemC/TLM2.0 platform specially developed for this task. As results, we propose a hierarchical parallelism extraction, a transparent programming model and a many-core architecture template for the next generation of vision processors.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123577576","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525736
Stanislav A. Goll, Sergey S. Luksha, Vladimir S. Leushkin, Alexandr G. Borisov
Using information about objects of surround environment is a good way not only for detecting obstacles but also for estimation of relative translation. Hight-speed lidars provide a lot of information for performing this tasks. But matching one scan to another in some cases lead to different problems. In this paper we describe the solution for building occupancy maps, aligning one scan with another using only information from lidar and processing all data in the real-time using GPU.
{"title":"Construction of the local patency map on the data from Velodyne LiDAR","authors":"Stanislav A. Goll, Sergey S. Luksha, Vladimir S. Leushkin, Alexandr G. Borisov","doi":"10.1109/MECO.2016.7525736","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525736","url":null,"abstract":"Using information about objects of surround environment is a good way not only for detecting obstacles but also for estimation of relative translation. Hight-speed lidars provide a lot of information for performing this tasks. But matching one scan to another in some cases lead to different problems. In this paper we describe the solution for building occupancy maps, aligning one scan with another using only information from lidar and processing all data in the real-time using GPU.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124356724","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525714
R. Kozhemiakin, S. Abramov, V. Badenko, Blazo Djurovic, I. Djurović, B. Vozel
We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression. Comparison of the suggested approaches has been carried out for some compression ratios. It is demonstrated that 3D-compression using techniques based on discrete cosine transform (DCT) can provide some benefits but only under condition of proper grouping of sub-band images.
{"title":"Lossy compression of Landsat multispectral images","authors":"R. Kozhemiakin, S. Abramov, V. Badenko, Blazo Djurovic, I. Djurović, B. Vozel","doi":"10.1109/MECO.2016.7525714","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525714","url":null,"abstract":"We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression. Comparison of the suggested approaches has been carried out for some compression ratios. It is demonstrated that 3D-compression using techniques based on discrete cosine transform (DCT) can provide some benefits but only under condition of proper grouping of sub-band images.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125352659","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525738
M. V. Akinin, N. Akinina, M. Nikiforov, A. V. Sokolova
This paper describe a method for automatically selecting a suitable location for the safe landing of an unmanned aerial vehicle.
本文介绍了一种自动选择适合无人机安全降落位置的方法。
{"title":"Intelligent system of selecting the landing site of unmanned aerial vehicles","authors":"M. V. Akinin, N. Akinina, M. Nikiforov, A. V. Sokolova","doi":"10.1109/MECO.2016.7525738","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525738","url":null,"abstract":"This paper describe a method for automatically selecting a suitable location for the safe landing of an unmanned aerial vehicle.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576122","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525741
R. Ferrero, F. Gandino, Masoud Hemmatpour, B. Montrucchio, M. Rebaudengo
Although the acceleration is physically related to the displacement of an object, i.e., to its change of position, it is demonstrated that the double integration of the acceleration does not provide accurate information about the displacement, due to the noise and measurement errors. This paper evaluates a correction technique based on the Kalman filter in order to increase the accuracy of the estimation of the displacement. Experiments were performed by acquiring the acceleration with an off-the-shelf accelerometer: the percentage error made by simply integrating the acceleration measurements may arrive to 68% in the general case of a movement in the space, but it can be dramatically reduced to 9% with the proposed approach. An even better behavior is obtained when the movement is constrained to a plane or along an axis.
{"title":"Exploiting accelerometers to estimate displacement","authors":"R. Ferrero, F. Gandino, Masoud Hemmatpour, B. Montrucchio, M. Rebaudengo","doi":"10.1109/MECO.2016.7525741","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525741","url":null,"abstract":"Although the acceleration is physically related to the displacement of an object, i.e., to its change of position, it is demonstrated that the double integration of the acceleration does not provide accurate information about the displacement, due to the noise and measurement errors. This paper evaluates a correction technique based on the Kalman filter in order to increase the accuracy of the estimation of the displacement. Experiments were performed by acquiring the acceleration with an off-the-shelf accelerometer: the percentage error made by simply integrating the acceleration measurements may arrive to 68% in the general case of a movement in the space, but it can be dramatically reduced to 9% with the proposed approach. An even better behavior is obtained when the movement is constrained to a plane or along an axis.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132520059","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525745
V. Ruchkin, V. Fulin, B. Kostrov, A. Taganov, A. Kolesenkov
The work analyzes technical and experimental research in the field of fire monitoring. It proposes a technique of using cyber-physical systems for monitoring natural and technogenic emergencies, providing information and algorithmic support for a cyber-physical system of forest-fire monitoring. It also provides hierarchical structures of components for a cyber-physical system of forest-fire monitoring. The methodology is implemented as development of intelligent telecommunications structures on the base of the MB 7707 neuroprocessor systems that can undergo training in conditions of uncertainty. The work is accomplished within the framework of the Russian Foundation for Basic Research (RFBR) grant 14-07-00261A.
{"title":"Forest fire monitoring by means of cyber-physical system","authors":"V. Ruchkin, V. Fulin, B. Kostrov, A. Taganov, A. Kolesenkov","doi":"10.1109/MECO.2016.7525745","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525745","url":null,"abstract":"The work analyzes technical and experimental research in the field of fire monitoring. It proposes a technique of using cyber-physical systems for monitoring natural and technogenic emergencies, providing information and algorithmic support for a cyber-physical system of forest-fire monitoring. It also provides hierarchical structures of components for a cyber-physical system of forest-fire monitoring. The methodology is implemented as development of intelligent telecommunications structures on the base of the MB 7707 neuroprocessor systems that can undergo training in conditions of uncertainty. The work is accomplished within the framework of the Russian Foundation for Basic Research (RFBR) grant 14-07-00261A.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130440038","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525772
L. Demidova, I. Klyueva, A. Pylkin
The present paper considers convergence characteristics of the particle swarm algorithm and its modification - the hybrid PSO-GS algorithm obtained under combination of the PSO algorithm and Grid Search algorithm. Comparison of quality indices of the particle swarm algorithm and the steepest descent algorithm has been carried out for evaluation of advantages of the PSO algorithm in comparison with classical optimization algorithms.
{"title":"The study of characteristics of the hybrid particle swarm algorithm in solution of the global optimization problem","authors":"L. Demidova, I. Klyueva, A. Pylkin","doi":"10.1109/MECO.2016.7525772","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525772","url":null,"abstract":"The present paper considers convergence characteristics of the particle swarm algorithm and its modification - the hybrid PSO-GS algorithm obtained under combination of the PSO algorithm and Grid Search algorithm. Comparison of quality indices of the particle swarm algorithm and the steepest descent algorithm has been carried out for evaluation of advantages of the PSO algorithm in comparison with classical optimization algorithms.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130290084","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525709
N. Tolkach, N. Vishnyakov, Y. Vorobyov, Aleksei Maslov
The article deals with the problem of drift of atomic-force microscope probe in local analysis of the molecular-chemical composition of structures with nanometer resolution. The method of mathematical modeling of image distortion due to drift and its application for a correction of movement trajectory of atomic-force microscope probe are shown.
{"title":"Modeling of the drift of atomic-force microscope probe for local chemical nanodiagnostics","authors":"N. Tolkach, N. Vishnyakov, Y. Vorobyov, Aleksei Maslov","doi":"10.1109/MECO.2016.7525709","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525709","url":null,"abstract":"The article deals with the problem of drift of atomic-force microscope probe in local analysis of the molecular-chemical composition of structures with nanometer resolution. The method of mathematical modeling of image distortion due to drift and its application for a correction of movement trajectory of atomic-force microscope probe are shown.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130013103","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}
Pub Date : 2016-06-12DOI: 10.1109/MECO.2016.7525687
R. Šendelj, Ivana Ognjanovic, E. Ammenwerth, W. Hackl
The complexity and heterogeneity of “big data” sets in health systems are difficult to process using common database management tools or traditional processing applications. Stimulated by the promising solutions of Semantic Web for addressing the problems of management and monitoring of services shared by different parties, the service-oriented transformations over medical big data are today a rapidly growing demand in almost all sectors and areas. The originality of our paper is in the use of ontologies to bridge this gap between the “open” SOA and “closed” medical and social domains by leveraging ontologies' features to precisely and formally define a domain and yet allow for sharing domain knowledge between collaborating parties. Moreover, in this paper, we used the proven software engineering practices based on different intelligent reasoning data mining methods and techniques in order to develop advanced model of automatic processing and SOA configuration representing sophisticated services for predictions and recommendations based on historical medical and social data.
{"title":"Towards semantically enabled development of service-oriented architectures for integration of socio-medical data","authors":"R. Šendelj, Ivana Ognjanovic, E. Ammenwerth, W. Hackl","doi":"10.1109/MECO.2016.7525687","DOIUrl":"https://doi.org/10.1109/MECO.2016.7525687","url":null,"abstract":"The complexity and heterogeneity of “big data” sets in health systems are difficult to process using common database management tools or traditional processing applications. Stimulated by the promising solutions of Semantic Web for addressing the problems of management and monitoring of services shared by different parties, the service-oriented transformations over medical big data are today a rapidly growing demand in almost all sectors and areas. The originality of our paper is in the use of ontologies to bridge this gap between the “open” SOA and “closed” medical and social domains by leveraging ontologies' features to precisely and formally define a domain and yet allow for sharing domain knowledge between collaborating parties. Moreover, in this paper, we used the proven software engineering practices based on different intelligent reasoning data mining methods and techniques in order to develop advanced model of automatic processing and SOA configuration representing sophisticated services for predictions and recommendations based on historical medical and social data.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134085780","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}
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