The Experts below are selected from a list of 84 Experts worldwide ranked by ideXlab platform
Liping Di - One of the best experts on this subject based on the ideXlab platform.
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Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogeneous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
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Geoinformatics - Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogonous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
Chao Yang - One of the best experts on this subject based on the ideXlab platform.
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Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogeneous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
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Geoinformatics - Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogonous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
Nengcheng Chen - One of the best experts on this subject based on the ideXlab platform.
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Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogeneous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
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Geoinformatics - Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogonous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
Zeqiang Chen - One of the best experts on this subject based on the ideXlab platform.
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Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogeneous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
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Geoinformatics - Asynchronous sensor planning service chain driven dynamical satellite sensor information retrieval
2010 18th International Conference on Geoinformatics, 2010Co-Authors: Chao Yang, Nengcheng Chen, Zeqiang Chen, Liping DiAbstract:In a Sensor Web environment, sensors are heterogonous. The Sensor planning service offers a standardized interface for the control of sensors and simulations. But some complex sensors like satellite need midterm or long-term action to response a given task, so, adding asynchronous support in SPS is necessary. The workflow description language can chain asynchronous web service together while it has to contend with the complex and specific communication mechanism of asynchronous SPS. In order to achieve asynchronous SPS, the Asynchronous Sensor Planning Service Chain (ASPSC) is proposed in this paper. The Internal Message exchange and external callback invocation method is used to serve dynamical retrieval service of satellite planning information under Sensor Web environment through the chaining of SPS operation. The proposed method has been successfully demonstrated in application scenarios for Simplified General Perturbations Satellite Orbit Model 4(SGP-4). It can service most near earth satellites and offers an automatic sensor information retrieval. Comparing to the traditional SPS, it is more flexible and strength in software architecture.
Pei-yun Tsai - One of the best experts on this subject based on the ideXlab platform.
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A 75-Gb/s/mm 2 and Energy-Efficient LDPC Decoder Based on a Reduced Complexity Second Minimum Approximation Min-Sum Algorithm
IEEE Transactions on Very Large Scale Integration Systems, 2020Co-Authors: Henry Lopez, Hsun-wei Chan, Kang-lun Chiu, Pei-yun TsaiAbstract:This article presents a high-throughput and low-routing complexity low-density parity check (LDPC) decoder design based on a novel second minimum approximation min-sum (SAMS) algorithm. The routing congestion is mitigated by reducing the required interconnections in the critical path of the routing network. The implementation and postlayout results with 28-nm 1P9M CMOS process show that the proposed design can achieve a throughput of 10.5 Gb/s for a millimeter-wave 60-GHz baseband system while satisfying the low bit error rate (BER) requirements (10−7). The proposed design reduces the wiring in the routing network by 21% and improves the area by 12% compared to the conventional min-sum (MS) and normalized MS (NMS) algorithm. Additional hardware optimizations are obtained by considering the Internal Message passing resolution based on the BER and signal-to-noise ratio (SNR) requirements for a practical baseband system. The power consumption is efficiently reduced by the employment of a shared address generator that exploits the degree of parallelism to reduce the switching activity on a group of memory elements. The LDPC decoder is implemented with a core area of 0.14 mm2, power consumption of 81 mW at 312.5 MHz, and the area and power efficiency of 75 Gb/s/mm2 and 10.2 pJ/bit, respectively.
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A 75-Gb/s/mm2 and Energy-Efficient LDPC Decoder Based on a Reduced Complexity Second Minimum Approximation Min-Sum Algorithm
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2020Co-Authors: Henry Lopez, Hsun-wei Chan, Kang-lun Chiu, Pei-yun TsaiAbstract:This article presents a high-throughput and low-routing complexity low-density parity check (LDPC) decoder design based on a novel second minimum approximation min-sum (SAMS) algorithm. The routing congestion is mitigated by reducing the required interconnections in the critical path of the routing network. The implementation and postlayout results with 28-nm 1P9M CMOS process show that the proposed design can achieve a throughput of 10.5 Gb/s for a millimeter-wave 60-GHz baseband system while satisfying the low bit error rate (BER) requirements (10-7). The proposed design reduces the wiring in the routing network by 21% and improves the area by 12% compared to the conventional min-sum (MS) and normalized MS (NMS) algorithm. Additional hardware optimizations are obtained by considering the Internal Message passing resolution based on the BER and signal-to-noise ratio (SNR) requirements for a practical baseband system. The power consumption is efficiently reduced by the employment of a shared address generator that exploits the degree of parallelism to reduce the switching activity on a group of memory elements. The LDPC decoder is implemented with a core area of 0.14 mm2, power consumption of 81 mW at 312.5 MHz, and the area and power efficiency of 75 Gb/s/mm2 and 10.2 pJ/bit, respectively.