The Experts below are selected from a list of 55257 Experts worldwide ranked by ideXlab platform
Moustafa Youssef - One of the best experts on this subject based on the ideXlab platform.
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ichnaea a low overhead robust wlan device free passive localization system
IEEE Journal of Selected Topics in Signal Processing, 2014Co-Authors: Ahmed Saeed, Ahmed E Kosba, Moustafa YoussefAbstract:WLAN Device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. Current state-of-the-art DfP localization systems require a large overhead to construct an RF profile for the environment, that is then used as a reference for either motion detection or tracking. These profiles are also not robust to changes in the environment, requiring frequent manual maintenance or reconstruction. In this paper, we present the design, implementation and evaluation of Ichnaea, an accurate, robust, and low-overhead DfP localization system. Ichnaea uses a lightweight, typically two minutes, training period to learn the silence profile of the environment. It then applies statistical anomaly detection techniques and particle filtering, while adapting to changes in the environment, to provide its localization capabilities using standard WiFi hardware. Evaluation of Ichnaea in three typical testbeds with a side-by-side comparison to the state-of-the-art WLAN DfP systems shows that it can achieve a worst case median distance error of 2.5 m while requiring significantly lower deployment overhead and being robust to environment changes.
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rasid demo a robust wlan device free passive motion detection system
IEEE International Conference on Pervasive Computing and Communications, 2012Co-Authors: Ahmed E Kosba, Ahmed Saeed, Moustafa YoussefAbstract:WLAN Device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. This technology is useful for a variety of applications such as intrusion detection, smart homes and border protection. We present the design, implementation and evaluation of RASID, a DfP system for human motion detection. RASID combines different modules for statistical anomaly detection while adapting to changes in the environment to provide accurate, robust, and low-overhead detection of human activities using standard WiFi hardware. Evaluation of the system in two different testbeds shows that it can achieve an accurate detection capability in both environments with an F-measure of at least 0.93. In addition, the high accuracy and low overhead performance are robust to changes in the environment as compared to the current state of the art DfP detection systems.
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rasid a robust wlan device free passive motion detection system
arXiv: Networking and Internet Architecture, 2011Co-Authors: Ahmed E Kosba, Ahmed Saeed, Moustafa YoussefAbstract:WLAN Device-free passive DfP indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. This technology is useful for a variety of applications such as intrusion detection, smart homes and border protection. We present the design, implementation and evaluation of RASID, a DfP system for human motion detection. RASID combines different modules for statistical anomaly detection while adapting to changes in the environment to provide accurate, robust, and low-overhead detection of human activities using standard WiFi hardware. Evaluation of the system in two different testbeds shows that it can achieve an accurate detection capability in both environments with an F-measure of at least 0.93. In addition, the high accuracy and low overhead performance are robust to changes in the environment as compared to the current state of the art DfP detection systems. We also relay the lessons learned during building our system and discuss future research directions.
Ahmed Saeed - One of the best experts on this subject based on the ideXlab platform.
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ichnaea a low overhead robust wlan device free passive localization system
IEEE Journal of Selected Topics in Signal Processing, 2014Co-Authors: Ahmed Saeed, Ahmed E Kosba, Moustafa YoussefAbstract:WLAN Device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. Current state-of-the-art DfP localization systems require a large overhead to construct an RF profile for the environment, that is then used as a reference for either motion detection or tracking. These profiles are also not robust to changes in the environment, requiring frequent manual maintenance or reconstruction. In this paper, we present the design, implementation and evaluation of Ichnaea, an accurate, robust, and low-overhead DfP localization system. Ichnaea uses a lightweight, typically two minutes, training period to learn the silence profile of the environment. It then applies statistical anomaly detection techniques and particle filtering, while adapting to changes in the environment, to provide its localization capabilities using standard WiFi hardware. Evaluation of Ichnaea in three typical testbeds with a side-by-side comparison to the state-of-the-art WLAN DfP systems shows that it can achieve a worst case median distance error of 2.5 m while requiring significantly lower deployment overhead and being robust to environment changes.
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rasid demo a robust wlan device free passive motion detection system
IEEE International Conference on Pervasive Computing and Communications, 2012Co-Authors: Ahmed E Kosba, Ahmed Saeed, Moustafa YoussefAbstract:WLAN Device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. This technology is useful for a variety of applications such as intrusion detection, smart homes and border protection. We present the design, implementation and evaluation of RASID, a DfP system for human motion detection. RASID combines different modules for statistical anomaly detection while adapting to changes in the environment to provide accurate, robust, and low-overhead detection of human activities using standard WiFi hardware. Evaluation of the system in two different testbeds shows that it can achieve an accurate detection capability in both environments with an F-measure of at least 0.93. In addition, the high accuracy and low overhead performance are robust to changes in the environment as compared to the current state of the art DfP detection systems.
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rasid a robust wlan device free passive motion detection system
arXiv: Networking and Internet Architecture, 2011Co-Authors: Ahmed E Kosba, Ahmed Saeed, Moustafa YoussefAbstract:WLAN Device-free passive DfP indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. This technology is useful for a variety of applications such as intrusion detection, smart homes and border protection. We present the design, implementation and evaluation of RASID, a DfP system for human motion detection. RASID combines different modules for statistical anomaly detection while adapting to changes in the environment to provide accurate, robust, and low-overhead detection of human activities using standard WiFi hardware. Evaluation of the system in two different testbeds shows that it can achieve an accurate detection capability in both environments with an F-measure of at least 0.93. In addition, the high accuracy and low overhead performance are robust to changes in the environment as compared to the current state of the art DfP detection systems. We also relay the lessons learned during building our system and discuss future research directions.
Ahmed E Kosba - One of the best experts on this subject based on the ideXlab platform.
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ichnaea a low overhead robust wlan device free passive localization system
IEEE Journal of Selected Topics in Signal Processing, 2014Co-Authors: Ahmed Saeed, Ahmed E Kosba, Moustafa YoussefAbstract:WLAN Device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. Current state-of-the-art DfP localization systems require a large overhead to construct an RF profile for the environment, that is then used as a reference for either motion detection or tracking. These profiles are also not robust to changes in the environment, requiring frequent manual maintenance or reconstruction. In this paper, we present the design, implementation and evaluation of Ichnaea, an accurate, robust, and low-overhead DfP localization system. Ichnaea uses a lightweight, typically two minutes, training period to learn the silence profile of the environment. It then applies statistical anomaly detection techniques and particle filtering, while adapting to changes in the environment, to provide its localization capabilities using standard WiFi hardware. Evaluation of Ichnaea in three typical testbeds with a side-by-side comparison to the state-of-the-art WLAN DfP systems shows that it can achieve a worst case median distance error of 2.5 m while requiring significantly lower deployment overhead and being robust to environment changes.
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rasid demo a robust wlan device free passive motion detection system
IEEE International Conference on Pervasive Computing and Communications, 2012Co-Authors: Ahmed E Kosba, Ahmed Saeed, Moustafa YoussefAbstract:WLAN Device-free passive (DfP) indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. This technology is useful for a variety of applications such as intrusion detection, smart homes and border protection. We present the design, implementation and evaluation of RASID, a DfP system for human motion detection. RASID combines different modules for statistical anomaly detection while adapting to changes in the environment to provide accurate, robust, and low-overhead detection of human activities using standard WiFi hardware. Evaluation of the system in two different testbeds shows that it can achieve an accurate detection capability in both environments with an F-measure of at least 0.93. In addition, the high accuracy and low overhead performance are robust to changes in the environment as compared to the current state of the art DfP detection systems.
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rasid a robust wlan device free passive motion detection system
arXiv: Networking and Internet Architecture, 2011Co-Authors: Ahmed E Kosba, Ahmed Saeed, Moustafa YoussefAbstract:WLAN Device-free passive DfP indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed Wireless Infrastructure. This technology is useful for a variety of applications such as intrusion detection, smart homes and border protection. We present the design, implementation and evaluation of RASID, a DfP system for human motion detection. RASID combines different modules for statistical anomaly detection while adapting to changes in the environment to provide accurate, robust, and low-overhead detection of human activities using standard WiFi hardware. Evaluation of the system in two different testbeds shows that it can achieve an accurate detection capability in both environments with an F-measure of at least 0.93. In addition, the high accuracy and low overhead performance are robust to changes in the environment as compared to the current state of the art DfP detection systems. We also relay the lessons learned during building our system and discuss future research directions.
Raj Yavatkar - One of the best experts on this subject based on the ideXlab platform.
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intel corporation intel ixp2400 network processor a second generation intel npu
2003Co-Authors: Prashant R Chandra, Sridhar Lakshmanamurthy, Raj YavatkarAbstract:Next generation access and edge equipment requires flexible programming, high performance, low power consumption, and small real estate. In context to this, Intel has developed a next-generation network processor, the IXP2400, which is optimized to meet these requirements. The Intel IXP2400 network processor delivers a new level of intelligence and performance for access and edge applications, enabling the realization of quality of service (QoS), enforcement of service-level agreements (SLAs), and traffic engineering at OC-48/2 .5 Gbps and 4 Gbps data rates. The flexible media interface allows a variety of media devices, ranging from OC3 to OC48 speeds to be connected without logic to the IXP2400 for easier design and lower system cost. These capabilities essentially allow OEMs and service providers to offer differentiated and tiered services to their customers while efficiently managing their network resources and bandwidth. The performance and flexibility of the IXP2400 makes it desirable for a wide variety of high-performance applications such as multiservice switches, DSLAMs (DSL access multiplexers), CMTS (cable modem termination system) equipment, 2.5G and 3G Wireless Infrastructure, and layer 4-7 switches.
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chapter 13 intel corporation intel ixp2400 network processor a second generation intel npu
Network Processor Design, 2003Co-Authors: Prashant R Chandra, Sridhar Lakshmanamurthy, Raj YavatkarAbstract:Publisher Summary Next generation access and edge equipment requires flexible programming, high performance, low power consumption, and small real estate. In context to this, Intel has developed a next-generation network processor, the IXP2400, which is optimized to meet these requirements. The Intel IXP2400 network processor delivers a new level of intelligence and performance for access and edge applications, enabling the realization of quality of service (QoS), enforcement of service-level agreements (SLAs), and traffic engineering at OC-48/2 .5 Gbps and 4 Gbps data rates. The flexible media interface allows a variety of media devices, ranging from OC3 to OC48 speeds to be connected without logic to the IXP2400 for easier design and lower system cost. These capabilities essentially allow OEMs and service providers to offer differentiated and tiered services to their customers while efficiently managing their network resources and bandwidth. The performance and flexibility of the IXP2400 makes it desirable for a wide variety of high-performance applications such as multiservice switches, DSLAMs (DSL access multiplexers), CMTS (cable modem termination system) equipment, 2.5G and 3G Wireless Infrastructure, and layer 4-7 switches.
Mario Paolone - One of the best experts on this subject based on the ideXlab platform.
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Architecture and Experimental Validation of a Low-Latency Phasor Data Concentrator
IEEE Transactions on Smart Grid, 2018Co-Authors: Asja Derviskadic, Paolo Romano, Marco Pignati, Mario PaoloneAbstract:This paper presents the design principles of a Phasor Data Concentrator (PDC) that implements both the absolute and relative time data pushing logics together with a third one that aims at minimizing the latency introduced by the PDC without increasing the data incompleteness, as suggested in the IEEE Guide C37.244-2013. The performance of the aforementioned logics are assessed and compared in terms of reliability, determinism, and reduction of the overall latency in two real Phasor Measurement Unit (PMU) installations adopting different telecom Infrastructures. The first one is based on optical fiber links that transmit synchrophasor data measured by 15 PMUs installed in the sub-transmission network of the city of Lausanne, Switzerland. The second one adopts a 4G LTE Wireless Infrastructure to support the data streaming of 10 PMUs installed in a distribution network supplying the city of Huissen, The Netherlands. The experimental results show that the proposed logic is characterized by the lowest latency, whereas the absolute time logic better mitigates the synchrophasor data latency variations.
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Architecture and experimental validation of a low-latency phasor data concentrator
2017 IEEE Manchester PowerTech, 2017Co-Authors: Asja Derviskadic, Paolo Romano, Marco Pignati, Mario PaoloneAbstract:The paper presents the design principles of a Phasor Data Concentrator (PDC) that implements both the absolute and relative time data pushing logics together with a third one that aims at minimizing the latency introduced by the PDC without increasing the data incompleteness, as suggested in the IEEE Guide C37.244-2013. The performance of the aforementioned logics are assessed and compared in terms of reliability, determinism and reduction of the overall latency in two real Phasor Measurement Unit (PMU) installations adopting different telecom Infrastructures. The first one is based on optical fiber links that transmit synchrophasor data measured by 15 PMUs installed in the sub-transmission network of the city of Lausanne, Switzerland. The second one adopts a 4G LTE Wireless Infrastructure to support the data streaming of 10 PMUs installed in a distribution network supplying the city of Huissen, in the Netherlands. The experimental results show that the proposed logic is characterized by the lowest latency, whereas the absolute time logic better mitigates the synchrophasor data latency variations.
