This paper presents a 10-bit 80-MS/s successive approximation register（SAR） analog-to-digital converter （ADC） suitable for integration in a system on a chip（SoC）.By using the top-plate-sample switching scheme an...This paper presents a 10-bit 80-MS/s successive approximation register（SAR） analog-to-digital converter （ADC） suitable for integration in a system on a chip（SoC）.By using the top-plate-sample switching scheme and a split capacitive array structure,the total capacitance is dramatically reduced which leads to low power and high speed.Since the split structure makes the capacitive array highly sensitive to parasitic capacitance,a three-row layout method is applied to the layout design.To overcome the charge leakage in the nanometer process,a special input stage is proposed in the comparator.As 80 MS/s sampling rate for a 10-bit SAR ADC results in around 1 GHz logic control clock,and a tunable clock generator is implemented.The prototype was fabricated in 65 nm 1P9M （one-poly-nine-metal） GP（general purpose） CMOS technology.Measurement results show a peak signal-to-noise and distortion ratio（SINAD） of 48.3 dB and 1.6 mW total power consumption with a figure of merit（FOM） of 94.8 fJ/conversion-step.展开更多
With the increasing popularity of location-based services(LBS),data outsourcing toward clouds is an emerging paradigm for ease of data management by LBS providers.Geometric range queries are one of the fundamental sea...With the increasing popularity of location-based services(LBS),data outsourcing toward clouds is an emerging paradigm for ease of data management by LBS providers.Geometric range queries are one of the fundamental search functions in LBS,which are to find points inside geometric areas(e.g.,circles or polygons).To ensure data confidentiality,the service users tend to encrypt the data before outsourcing it.However,regarding encrypted data,only a few consider geometric range queries,where the rationale is the high-dimension calculations make these queries particularly harder.In this paper,we propose a novel scheme for geometric range queries,that can provide the privacy of data stored at a cloud server and queries.Our scheme supports querying encrypted spatial data with irregular-shaped areas,achieves fast searches and enables dynamic updates.Experimental results over real-world spatial datasets demonstrate that our scheme results in fewer communication rounds and can speed up the search time 4×compared to state-of-the-art schemes,without carrying any potentially visible leakage in the structure.展开更多
基金supported by the PhD Programs Foundation of the Ministry of Education of China(No.20110071110014)the State Key Program of National Natural Science of China(No.61234002)
文摘This paper presents a 10-bit 80-MS/s successive approximation register（SAR） analog-to-digital converter （ADC） suitable for integration in a system on a chip（SoC）.By using the top-plate-sample switching scheme and a split capacitive array structure,the total capacitance is dramatically reduced which leads to low power and high speed.Since the split structure makes the capacitive array highly sensitive to parasitic capacitance,a three-row layout method is applied to the layout design.To overcome the charge leakage in the nanometer process,a special input stage is proposed in the comparator.As 80 MS/s sampling rate for a 10-bit SAR ADC results in around 1 GHz logic control clock,and a tunable clock generator is implemented.The prototype was fabricated in 65 nm 1P9M （one-poly-nine-metal） GP（general purpose） CMOS technology.Measurement results show a peak signal-to-noise and distortion ratio（SINAD） of 48.3 dB and 1.6 mW total power consumption with a figure of merit（FOM） of 94.8 fJ/conversion-step.
基金supported by National Natural Science Foundation of China(Nos.62072460,62076245,61772538,61772536,61772537,4212022).
文摘With the increasing popularity of location-based services(LBS),data outsourcing toward clouds is an emerging paradigm for ease of data management by LBS providers.Geometric range queries are one of the fundamental search functions in LBS,which are to find points inside geometric areas(e.g.,circles or polygons).To ensure data confidentiality,the service users tend to encrypt the data before outsourcing it.However,regarding encrypted data,only a few consider geometric range queries,where the rationale is the high-dimension calculations make these queries particularly harder.In this paper,we propose a novel scheme for geometric range queries,that can provide the privacy of data stored at a cloud server and queries.Our scheme supports querying encrypted spatial data with irregular-shaped areas,achieves fast searches and enables dynamic updates.Experimental results over real-world spatial datasets demonstrate that our scheme results in fewer communication rounds and can speed up the search time 4×compared to state-of-the-art schemes,without carrying any potentially visible leakage in the structure.
