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| 1 | Impro- ving the Electrical Conductivity of a Carbon Nanotube/ Polypropylene Composite by Vibration During Injection- moulding显示文摘 | Yang Liangbo Liu Fanghui Xia Hesheng | 2011 | Carbon2011，49，10： | 1 |
| 2 | Oxygen species on the surface of La2O3/CaO and its role in the oxidative coupling of methane显示文摘 | Yang Tinglu Feng Liangbo | 1994 | J Catal1994，145，2： | 1 |
| 3 | Impro-ving the electrical conductivity of a carbon nanotube/ polypro-pylene composite by vibration during injection-moulding 显示文摘 | YANG Liangbo LIU Fanghui XIA Hesheng | 2011 | Carbon2011，49，10： | 1 |
| 4 | MFPL:Multi-Frequency Phase Difference Combination Based Device-Free Localization显示文摘With the popularity of indoor wireless network,device-free indoor localization has attracted more and more attention.Unlike device-based localization where the target is required to carry an active transmitter,their frequent signal scanning consumes a large amount of energy,which is inconvenient for devices with limited energy.In this work,we propose the MFPL,device-free localization(DFL)system based on WiFi distance measurement.First,we combine multi-subcarrier characteristic of Channel State Information(CSI)with classical Fresnel reflection model to get the linear relationship between the change of the length of reflection path and the subcarrier phase difference.Then we calculate the Fresnel phase difference between subcarrier pairs with different spacing from CSI amplitude time series.Finally,we get the change of the length of the reflection path caused by target moving to achieve distance measurement and localization.Using a combination of subcarriers with different spacing to achieve distance measurement effectively broadens the maximum unambiguous distance of the system.To solve the complex non-linear problem of the intersection of two elliptic equations,we introduce Newton's method to transform the non-linear problem into a linear one.The effectiveness of our approach is verified using commodity WiFi infrastructures.The experimental results show our method achieves a median error of 0.87 m in actual indoor environment. | Zengshan Tian Weiqin Yang Yue Jin Liangbo Xie Zhengwen Huang | 2020 | Computers, Materials & Continua2020，，2： | 0 |
| 5 | A Time-Domain Comparator Based Skipping-Window SAR ADC显示文摘This paper presents an energy efficient successive-approximation register(SAR)analog-to-digital converter(ADC)for low-power applications.To improve the overall energy-efficiency,a skipping-window technique is used to bypass corresponding conversion steps when the input falls in a window indicated by a time-domain comparator,which can provide not only the polarity of the input,but also the amount information of the input.The timedomain comparator,which is based on the edge pursing principle,consists of delay cells,two NAND gates,two D-flip-flop register-based phase detectors and a counter.The digital characteristic of the comparator makes the design more flexible,and the comparator can achieve noise and power optimization automatically by simply adjusting the delay cell number.An energy efficient digital-to-analog converter(DAC)control scheme suitable for the skipping window technique is also developed to reduce the switching energy during SAR conversion.Together with the skipping-window technique,the linearity and the power consumption of the SAR ADC are improved.The impact of different window sizes on comparison cycles,DAC switching energy and the overall energy efficiency is analyzed.Simulation results show that the proposed skipping-window technique can improve the overall energy-efficiency of the SAR ADC,as well as the linearity,and the optimized window size for the overall energy efficiency will vary with the DAC switching energy. | Liangbo Xie Yan Ren Mu Zhou Xiaolong Yang Zhengwen Huang | 2021 | Computers, Materials & Continua2021，，11： | 0 |
| 6 | A decouple-decomposition noise analysis model for closed-loop mode-localized tilt sensors显示文摘The development of mode-localized sensors based on amplitude output metrics has attracted increasing attention in recent years due to the potential of such sensors for high sensitivity and resolution.Mode-localization phenomena leverage the interaction between multiple coupled resonant modes to achieve enhanced performance,providing a promising solution to overcome the limitations of traditional sensing technologies.Amplitude noise plays a key role in determining the resolution of mode-localized sensors,as the output metric is derived from the measured AR(amplitude ratio)within the weakly coupled resonator system.However,the amplitude noise originating from the weakly coupled resonator's closed-loop circuit has not yet been fully investigated.This paper presents a decouple-decomposition(DD)noise analysis model,which is applied to achieve high resolution in a mode-localized tilt sensor based on a weakly coupled resonator closed-loop circuit.The DD noise model separates the weakly coupled resonators using the decoupling method considering the nonlinearity of the resonators.By integrating the decoupled weakly coupled resonators,the model decomposes the weakly coupled resonator's closed-loop circuit into distinct paths for amplitude and phase noise analyses.The DD noise model reveals noise effects at various circuit nodes and models the system noise in the closed-loop circuit of the weakly coupled resonators.MATLAB/Simulink simulations verify the model's accuracy when compared to theoretical analysis.At the optimal operating point,the mode-localized tilt sensor achieves an input-referred instability of 3.91×10^(-4°)and an input-referred AR of PSD of 2.01×10^(-4°)⁄√Hz using the closed-loop noise model.This model is also applicable to other varieties of mode-localized sensors. | Kunfeng Wang XingYin Xiong Zheng Wang Liangbo Ma BoWen Wang WuHao Yang Xiaorui Bie ZhiTian Li XuDong Zou | 2023 | Microsystems & Nanoengineering2023，9，6： | 0 |
| 7 | Sleep Apnea Monitoring System Based on Commodity WiFi Devices显示文摘To address the limitations of traditional sleep monitoring methods that highly rely on sleeping posture without considering sleep apnea,an intelligent apnea monitoring system is designed based on commodity WiFi in this paper.By utilizing linear fitting and wavelet transform,the phase error of channel state information(CSI)of the receiving antenna is eliminated,and the noise of the signal amplitude is removed.Moreover,the short-time Fourier transform(STFT)and sliding window method are combined to segment received wireless signals.Finally,several important statistical characteristics are extracted,and a back propagation(BP)neural network model is built to identify apnea state.Thus,interferences caused by changes of sleeping posture are eliminated.Extensive experimental results demonstrate that the proposed system can identify apnea state with an accuracy of over 95.6%.Furthermore,the accuracy can still reach more than 94.8%when the test environment layout is changed.Therefore,the proposed system can be used as a daily apnea monitoring system at home and provide users with health information. | Xiaolong Yang Xin Yu Liangbo Xie Hao Xue Mu Zhou Qing Jiang | 2021 | Computers, Materials & Continua2021，，11： | 0 |
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