Pub Date : 2010-03-18DOI: 10.1109/SECON.2010.5453876
Y. Liao
This paper puts forth a framework for estimating the transmission line parameters (including series resistance and reactance and shunt susceptance), line temperature and sag employing synchronized phasors obtained by Phasor Measurement Units (PMU) in real time. The estimated temperature and sag can be utilized for dynamic thermal rating for increased power transfer. The proposed algorithms harness the non-linear optimal estimation theory, and are capable of detecting and identifying bad measurement data, minimizing impacts of measurement errors and thus significantly improving the estimation accuracy. In addition, this paper proposes an optimal scheme for placing PMUs in the system such that a minimum number of PMUs need to be installed in order to determine the parameters, temperature and sag of all the concerned transmission lines in a power network.
{"title":"Power transmission line parameter estimation and optimal meter placement","authors":"Y. Liao","doi":"10.1109/SECON.2010.5453876","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453876","url":null,"abstract":"This paper puts forth a framework for estimating the transmission line parameters (including series resistance and reactance and shunt susceptance), line temperature and sag employing synchronized phasors obtained by Phasor Measurement Units (PMU) in real time. The estimated temperature and sag can be utilized for dynamic thermal rating for increased power transfer. The proposed algorithms harness the non-linear optimal estimation theory, and are capable of detecting and identifying bad measurement data, minimizing impacts of measurement errors and thus significantly improving the estimation accuracy. In addition, this paper proposes an optimal scheme for placing PMUs in the system such that a minimum number of PMUs need to be installed in order to determine the parameters, temperature and sag of all the concerned transmission lines in a power network.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125074915","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453932
Luis Herrera, B. Mink, S. Sukittanon
With the increasing growth of the cellular and Wi-Fi network infrastructure, internet mobile based applications are continuously being developed daily. With thousands of mobile applications available to download, it is possible to find software to fit almost any category, e.g. business, medical, entertainment, and healthcare. In this paper, we present the approach to integrate a personal mobile device application and wireless sensing network for data monitoring purposes. The project is designed to collect weather data from remote stations which can then be viewed on a mobile phone in real-time. The Apple iPhone was selected as the mobile platform due to several advantages. Not only is it one of the fastest growing mobile platforms, but it also has a widely available software development kit (SDK) and a wide array of distinct features that benefit remote monitoring applications. Through implementation and evaluation of our system, the proposed design is capable of being applied to different sensor networks such as building structure, traffic control, vineyard, and machine tool monitoring.
{"title":"Integrated personal mobile devices to wireless weather sensing network","authors":"Luis Herrera, B. Mink, S. Sukittanon","doi":"10.1109/SECON.2010.5453932","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453932","url":null,"abstract":"With the increasing growth of the cellular and Wi-Fi network infrastructure, internet mobile based applications are continuously being developed daily. With thousands of mobile applications available to download, it is possible to find software to fit almost any category, e.g. business, medical, entertainment, and healthcare. In this paper, we present the approach to integrate a personal mobile device application and wireless sensing network for data monitoring purposes. The project is designed to collect weather data from remote stations which can then be viewed on a mobile phone in real-time. The Apple iPhone was selected as the mobile platform due to several advantages. Not only is it one of the fastest growing mobile platforms, but it also has a widely available software development kit (SDK) and a wide array of distinct features that benefit remote monitoring applications. Through implementation and evaluation of our system, the proposed design is capable of being applied to different sensor networks such as building structure, traffic control, vineyard, and machine tool monitoring.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125104989","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}
Understanding the capacity of end-to-end throughput limits with any given wireless ad hoc network is critical to its deployment but very challenging task. This paper aims at conducting a quantitative analysis to get an expression for the upper bound for the throughput limits for regular network topologies like chain and grid networks. Factors such as carrier sense threshold that optimizes the throughput of such networks are examined. The results from the analysis will then be extrapolated to estimate closed-form solution for the throughput capacities of complex and random topologies.
{"title":"Throughput performance in multihop networks using adaptive carrier sensing threshold","authors":"Onyekachi Acholem","doi":"10.1145/1878537.1878719","DOIUrl":"https://doi.org/10.1145/1878537.1878719","url":null,"abstract":"Understanding the capacity of end-to-end throughput limits with any given wireless ad hoc network is critical to its deployment but very challenging task. This paper aims at conducting a quantitative analysis to get an expression for the upper bound for the throughput limits for regular network topologies like chain and grid networks. Factors such as carrier sense threshold that optimizes the throughput of such networks are examined. The results from the analysis will then be extrapolated to estimate closed-form solution for the throughput capacities of complex and random topologies.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130099224","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453853
S. Yen, J. Harris
A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. A recording experiment comparing, in parallel, a commercial recording system (Tucker-Davis Technology) and the UF's custom solution (FWIRE) is set up to compare performance. The novel aspect of the UF system is that the analog signal is represented by an asynchronous pulse train, which provides a low-power, low-bandwidth, noise-resistant means for coding and transmission. Based on different front-end hardware settings, recording bandwidth and corresponding reconstruction accuracy can be varied. Taking advantage of neural firing features, the pulse-based approach requires less than 3 K pulses/second to record a 25 KHz bandwidth signal from a hardware neural simulator. Recording performance has been characterized in the back-end signal processing with the spike sorting method. Two different spike sorting methods are proposed depending on different recording bandwidth constraints.
{"title":"Design and characterization of an integrate-and-fire neural recording system","authors":"S. Yen, J. Harris","doi":"10.1109/SECON.2010.5453853","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453853","url":null,"abstract":"A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. A recording experiment comparing, in parallel, a commercial recording system (Tucker-Davis Technology) and the UF's custom solution (FWIRE) is set up to compare performance. The novel aspect of the UF system is that the analog signal is represented by an asynchronous pulse train, which provides a low-power, low-bandwidth, noise-resistant means for coding and transmission. Based on different front-end hardware settings, recording bandwidth and corresponding reconstruction accuracy can be varied. Taking advantage of neural firing features, the pulse-based approach requires less than 3 K pulses/second to record a 25 KHz bandwidth signal from a hardware neural simulator. Recording performance has been characterized in the back-end signal processing with the spike sorting method. Two different spike sorting methods are proposed depending on different recording bandwidth constraints.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129151710","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453902
Reshmi Mitra, B. Joshi, A. Ravindran, R. Adams, A. Mukherjee, Jong-Ho Byun, Kushal Datta
The focus of this work is to identify data partitioning strategies and their performance models for memory intensive two dimensional Magneto-Static Wave (MSW) calculations for shared memory architecture. We have constructed computing, communication and synchronization time models for the different data partitioning schemes. We have identified that improved performance for any scheme can be achieved by reduced boundary sharing, decreasing stride penalties, reduced synchronization requirement and increased data sharing. A maximum speed-up of 3.9 for the largest data size is observed for one — dimensional partitioning.
{"title":"Performance modeling of parallel Magnetostatic Wave calculations on shared memory multicore","authors":"Reshmi Mitra, B. Joshi, A. Ravindran, R. Adams, A. Mukherjee, Jong-Ho Byun, Kushal Datta","doi":"10.1109/SECON.2010.5453902","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453902","url":null,"abstract":"The focus of this work is to identify data partitioning strategies and their performance models for memory intensive two dimensional Magneto-Static Wave (MSW) calculations for shared memory architecture. We have constructed computing, communication and synchronization time models for the different data partitioning schemes. We have identified that improved performance for any scheme can be achieved by reduced boundary sharing, decreasing stride penalties, reduced synchronization requirement and increased data sharing. A maximum speed-up of 3.9 for the largest data size is observed for one — dimensional partitioning.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127682258","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453908
K. Z. Watkins, T. Barnes
We present lessons learned from two software engineering courses, centered on creating socially relevant software, with students working in competitive teams to make the best version of the planned software. Our successful model for a capstone course allows students to experience a realistic, team-based setting for creating software for a client. Successful techniques included: weekly, multilevel agile communications, performance rubrics, frequent milestones, and most importantly, students competing in teams against one another to make the best version of the target software. The competition to build socially relevant software is very motivating for students. Also, it has resulted in high quality software and deep learning outcomes for students.
{"title":"Competitive and agile software engineering education","authors":"K. Z. Watkins, T. Barnes","doi":"10.1109/SECON.2010.5453908","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453908","url":null,"abstract":"We present lessons learned from two software engineering courses, centered on creating socially relevant software, with students working in competitive teams to make the best version of the planned software. Our successful model for a capstone course allows students to experience a realistic, team-based setting for creating software for a client. Successful techniques included: weekly, multilevel agile communications, performance rubrics, frequent milestones, and most importantly, students competing in teams against one another to make the best version of the target software. The competition to build socially relevant software is very motivating for students. Also, it has resulted in high quality software and deep learning outcomes for students.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130141703","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453893
R. Mulagada, T. Weldon
Recent developments in left-handed metamaterials and left-handed transmission lines have led to new approaches to the design of radio frequency components such as branch line couplers. In this paper, the design of a delay line discriminator for instantaneous frequency measurement (IFM) is investigated, where the delay line section is replaced by a composite right/left-hand (CRLH) transmission line. To demonstrate the CRLH design approach, experimental measurements and simulation results are compared for a 100 MHz delay line discriminator. The inherent phase advance of the CRLH transmission line structure is shown to reverse the slope of the frequency discriminator when compared to a right-handed transmission line structure.
{"title":"A delay line discriminator for IFM using a left-handed delay line","authors":"R. Mulagada, T. Weldon","doi":"10.1109/SECON.2010.5453893","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453893","url":null,"abstract":"Recent developments in left-handed metamaterials and left-handed transmission lines have led to new approaches to the design of radio frequency components such as branch line couplers. In this paper, the design of a delay line discriminator for instantaneous frequency measurement (IFM) is investigated, where the delay line section is replaced by a composite right/left-hand (CRLH) transmission line. To demonstrate the CRLH design approach, experimental measurements and simulation results are compared for a 100 MHz delay line discriminator. The inherent phase advance of the CRLH transmission line structure is shown to reverse the slope of the frequency discriminator when compared to a right-handed transmission line structure.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129530047","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453858
Ingyu Lee
Scientific modeling and simulations are popularly used in science and engineering communities to explain complicate phenomena or to extract knowledge from structured or unstructured data along with theoretical analysis and physical experiments. Generally, these models are represented as partial differential equations (PDEs) which can be solved numerically using meshes and sparse matrices. Typically, matrix vector multiplication is the most dominating module in the solution of PDEs. Therefore, efficient matrix vector multiplication algorithm is a critical component in scientific computing simulations. In this paper, we proposed a sparse matrix vector multiplication using compressed graph. Our experiments show that the proposed algorithm reduces cache misses by 65% at best with a little bit of memory overhead.
{"title":"Efficient sparse matrix vector multiplication using compressed graph","authors":"Ingyu Lee","doi":"10.1109/SECON.2010.5453858","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453858","url":null,"abstract":"Scientific modeling and simulations are popularly used in science and engineering communities to explain complicate phenomena or to extract knowledge from structured or unstructured data along with theoretical analysis and physical experiments. Generally, these models are represented as partial differential equations (PDEs) which can be solved numerically using meshes and sparse matrices. Typically, matrix vector multiplication is the most dominating module in the solution of PDEs. Therefore, efficient matrix vector multiplication algorithm is a critical component in scientific computing simulations. In this paper, we proposed a sparse matrix vector multiplication using compressed graph. Our experiments show that the proposed algorithm reduces cache misses by 65% at best with a little bit of memory overhead.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117212093","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453865
B. Ajilore, W. Baughman, S. D. Wilbert, Jongsu Kim, P. Kung, S. Kim
We present results of an acquisition of Terahertz imaging and its analysis in terms of frequency based on a Time Domain Terahertz Spectroscopy System. THz radiation was generated using a photoconductive antenna based on LT-GaAs and was detected by the electro-optical sampling in a ZnTe crystal. Broadband THz pulses were obtained in the range from 0.1 THz to 4 THz, with a peak intensity at 1 THz. The full transmission spectrum for different materials was measured, and frequency-dependent imaging characteristics were analyzed.
{"title":"Acquisition and analysis of Terahertz Time Domain imaging and sensing","authors":"B. Ajilore, W. Baughman, S. D. Wilbert, Jongsu Kim, P. Kung, S. Kim","doi":"10.1109/SECON.2010.5453865","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453865","url":null,"abstract":"We present results of an acquisition of Terahertz imaging and its analysis in terms of frequency based on a Time Domain Terahertz Spectroscopy System. THz radiation was generated using a photoconductive antenna based on LT-GaAs and was detected by the electro-optical sampling in a ZnTe crystal. Broadband THz pulses were obtained in the range from 0.1 THz to 4 THz, with a peak intensity at 1 THz. The full transmission spectrum for different materials was measured, and frequency-dependent imaging characteristics were analyzed.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114257833","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 : 2010-03-18DOI: 10.1109/SECON.2010.5453923
V. Narasimhan
This paper discusses the architecture of a novel marine sensor network system which handles static, pseudo-static and other types of sensors. The architecture is also capable of handling historical datasets and other related models. The architecture includes a decision support system along with tools to support data integration, exploitation and overall management of the marine ecology. An important feature of this architecture is the use of a federated asset registry, which ensures all data, metadata and information can be stored and exported in a standardized manner.
{"title":"Data and information architecture for a marine sensor network system","authors":"V. Narasimhan","doi":"10.1109/SECON.2010.5453923","DOIUrl":"https://doi.org/10.1109/SECON.2010.5453923","url":null,"abstract":"This paper discusses the architecture of a novel marine sensor network system which handles static, pseudo-static and other types of sensors. The architecture is also capable of handling historical datasets and other related models. The architecture includes a decision support system along with tools to support data integration, exploitation and overall management of the marine ecology. An important feature of this architecture is the use of a federated asset registry, which ensures all data, metadata and information can be stored and exported in a standardized manner.","PeriodicalId":286940,"journal":{"name":"Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117153477","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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