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| 1 | A Novel Analysis of Delay and Power Consumption for Polling Schemes in the IoT显示文摘In the Internet of Things(IoT), various battery-powered wireless devices are connected to collect and exchange data, and typical traffic is periodic and heterogeneous. Polling with power management is a very promising technique that can be used for communication among these devices in the IoT. In this paper, we propose a novel and scalable model to study the delay and the power consumption performance for polling schemes with power management under heterogeneous settings(particularly the heterogeneous sleeping interval). In our model,by introducing the concept of virtual polling interval, we successfully convert the considered energy-efficient polling scheme into an equivalent purely-limited vacation system. Thus, we can easily evaluate the mean and variance of the delay and the power consumption by applying existing queueing formulae, without developing a new theoretical model as required in previous works. Extensive simulations show that our analytical results are very accurate for both homogeneous and heterogeneous settings. | Li Feng Jiguo Yu Feng Zhao Honglu Jiang | 2017 | Tsinghua Science and Technology2017，22，4： | 3 |
| 2 | Multivariate image analysis and regression for prediction of coating content and distribution in the production of snack foods显示文摘 | Yu Honglu MacGregor J F | 2003 | Chemometrics and Intelligent laboratory Systems2003，67，： | 1 |
| 3 | Anionic formulation of electrolyte additive towards stable electrocatalytic oxygen evolution in seawater splitting显示文摘Hydrogen generation through seawater electrolysis provides a promising,attractive pathway towards the utilization of sustainable energy.However,the catalytic activity and stability of oxygen evolution anode are severely limited by the chloride-induced corrosion and competitive oxidation reactions.In this work,we demonstrate an anion-assisted performance improvement strategy by quick and universal screening of electrolyte additive via correlating Cl-repellency with the anionic properties.Particularly,the addition of phosphate ions is found to enable highly stable alkaline seawater splitting at industry-level current density(0.5 A cm^(-2))over 500 h using transition metal hydroxides as anodic electrocatalysts.In situ experiments and theoretical simulations further reveal that the dynamic anti-corrosion behaviors of surface-adsorbed phosphate ions are attributed to three factors including repelling Cl-ions without significantly blocking OH-diffusion,preventing transition metal dissolution and acting as a local pH buffer to compensate the fast OH-consumption under high current electrolysis. | Meng Yu Jinhan Li Fangming Liu Jiuding Liu Wence Xu Honglu Hu Xijie Chen Weichao Wang Fangyi Cheng | 2022 | Journal of Energy Chemistry2022，31，9： | 1 |
| 4 | S19W,T27W,and N33OY mutations in ACE2 enhance SARS-CoV-2 S-RBD binding toward both wild-type and antibody-resistant viruses and its molecular basis显示文摘SARS-CoV-2 recognizes,via its spike receptor-binding domain(S-RBD),human angiotensin-converting enzyme 2(ACE2)to initiate infection.Ecto-domain protein of ACE2 can therefore function as a decoy.Here we show that mutations of S19W,T27W,and N330Y in ACE2 could individually enhance SARS-CoV-2 S-RBD binding.Y330 could be synergistically combined with either W19 or W27,whereas W19 and W27 are mutually unbeneficial.The structures of SARS-CoV-2S-RBD bound to the ACE2 mutants reveal that the enhan ced binding is mainly con tributed by the van der Waals interactio ns mediated by the aromatic side-chai ns from W19,W27,and Y330.While Y330 and W19/W27 are distantly located and devoid of any steric interference,W19 and W27 are shown to orient their side-chains toward each other and to cause steric conflicts,explai ning their in compatibility.Finally,using pseudotyped SARS-CoV-2 viruses,we dem on strate that these residue substitutions are associated with dramatically improved entry-inhibition efficacy toward both wild-type and antibody-resistant viruses.Taken together,our biochemical and structural data have delineated the basis for the elevated S-RBD binding associated with S19W,T27W,and N330Y mutations in ACE2,paving the way for potential application of these mutants in dinical treatment of COVID-19. | Fei Ye Xi Lin Zimin Che Fanli Yang Sheng Lin Jing Yang Hua Chen Honglu Sun Lingling Wang Ao Wen Xindan Zhang Yushan Dai Yu Cao Jingyun Yang Guobo Shen Li Yang Jiong Li Zhenling Wang Wei Wang Xiawei Wei Guangwen Lu | 2021 | Signal Transduction and Targeted Therapy2021，6，10： | 0 |
| 5 | New spatial quadrature modulation scheme for indoor visible light communication systems显示文摘In this paper,a new spatial quadrature modulation(NSQM)scheme is proposed to improve the error performance of indoor visible light communication(VLC)systems.NSQM is different from generalized spatial quadrature modulation(SQM)in two aspects.First,the transmitted optical signal is directly detected at the receiver,which does not need to estimate the indices of the transmitted antenna.Second,an optimization approach is used with NSQM to minimize the upper error bound of the transmitted signals.In addition,several NSQM schemes are described in detail.Numerical results show that the proposed NSQM scheme achieves superior error performance compared with the SQM scheme. | Li Zongyan Li Jiahui Yu Honglu Li Shiyin | 2021 | The Journal of China Universities of Posts and Telecommunications2021，28，2： | 0 |
| 6 | Differentially private data publication with multi‐level data utility显示文摘Conventional private data publication mechanisms aim to retain as much data utility as possible while ensuring sufficient privacy protection on sensitive data.Such data publication schemes implicitly assume that all data analysts and users have the same data access privilege levels.However,it is not applicable for the scenario that data users often have different levels of access to the same data,or different requirements of data utility.The multi-level privacy requirements for different authorization levels pose new challenges for private data publication.Traditional PPDP mechanisms only publish one perturbed and private data copy satisfying some privacy guarantee to provide relatively accurate analysis results.To find a good tradeoffbetween privacy preservation level and data utility itself is a hard problem,let alone achieving multi-level data utility on this basis.In this paper,we address this challenge in proposing a novel framework of data publication with compressive sensing supporting multi-level utility-privacy tradeoffs,which provides differential privacy.Specifically,we resort to compressive sensing(CS)method to project a n-dimensional vector representation of users’data to a lower m-dimensional space,and then add deliberately designed noise to satisfy differential privacy.Then,we selectively obfuscate the measurement vector under compressive sensing by adding linearly encoded noise,and provide different data reconstruction algorithms for users with different authorization levels.Extensive experimental results demonstrate that ML-DPCS yields multi-level of data utility for specific users at different authorization levels. | Honglu Jiang S.M.Sarwar Haotian Yu Sheikh Ariful Islam | 2022 | High-Confidence Computing2022，2，2： | 0 |
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