New receipt-free voting scheme using double-trapdoor commitment

Chen, Xiaofeng,Wu, Qianhong,Zhang, Fangguo,Tian, Haibo,Wei, Baodian,Lee, Byoungcheon,Lee, Hyunrok,Kim, Kwangjo Elsevier 2011 Information sciences Vol.181 No.8

<P><B>Abstract</B></P><P>It is considered to be the most suitable solution for large scale elections to design an electronic voting scheme using blind signatures and anonymous channels. Based on this framework, Okamoto first proposed a receipt-free voting scheme <ce:cross-ref refid='b0150'>[30]</ce:cross-ref> for large scale elections. However, in the following paper, Okamoto <ce:cross-ref refid='b0155'>[31]</ce:cross-ref> proved that the scheme <ce:cross-ref refid='b0150'>[30]</ce:cross-ref> was not receipt-free and presented two improved schemes. One scheme requires the help of the parameter registration committee and the other needs a stronger physical assumption of the voting booth. In this paper, we utilize the double-trapdoor commitment to propose a new receipt-free voting scheme based on blind signatures for large scale elections. Neither the parameter registration committee nor the voting booth is required in our scheme. We also present a more efficient zero-knowledge proof for secret permutation. Therefore, our scheme is much more efficient than Okamoto’s schemes <ce:cross-refs refid='b0150 b0155'>[30,31]</ce:cross-refs> with the weaker physical assumptions. Moreover, we prove that our scheme can achieve the desired security properties.</P>

Relationship between Cytoplasmic Male Sterility and Reactive Oxygen Species Metabolism in Sweet Pepper

Xiaofeng Chen,Jingyi Zhang,Jinbing Liu,Xilin Hou 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

Physically-Based Constitutive Modelling of As-Cast CL70 Steel for Hot Deformation

Fei Chen,Xiaodong Zhao,Jinyu Ren,Huiqin Chen,Xiaofeng Zhang 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.6

In order to conduct numerical simulation of plasticity forming and confirm the processing parameters of heat deformationfor as-cast CL70 steel, the hot deformation behaviors of as-cast CL70 steel were studied by isothermal compression testswhich used a Gleeble-1500D thermal mechanical simulation tester for the deformation temperatures ranging from 1173 to1523 K and the strain rates ranging from 0.001 to 1 s−1. Flow stress curves of the steel were obtained under high temperature. The flow stress constitutive models of the work hardening-dynamical recovery period and dynamical recrystallizationperiod were established for as-cast CL70 steel. In work hardening-dynamic recovery period, the flow stress was predicted byemploying the evolution rule of dislocation density in the constitutive model. In dynamic recrystallization period, the flowstress after the critical strain was predicted by employing the dynamic recrystallization kinetics in the constitutive model. To improve the prediction accuracy of the model, the dynamic recovery coefficient is modified in the traditional physicallybasedconstitutive model. The results indicate that the proposed physically-based constitutive model has high accuracy inpredicting the flow stress under hot deformation for as-cast CL70 steel.

Fabrication of a Thermoregulating Cotton Fabric with Enhanced Flame Retardancy via Layer-by-layer Assembly

Yunbo Chen,Xiangyu Zhu,Luying Chen,Bijia Wang,ZhiPing Mao,Xueling Feng,Xiaofeng Sui,Hong Xu 한국섬유공학회 2022 Fibers and polymers Vol.23 No.9

The lack of thermoregulating functionality and high flammability for cotton fabrics greatly restricts theirapplication in high-performance fields. Herein, we report a versatile layer-by-layer (LBL) assembly strategy for introducing amultilayered film consisting of phase change microcapsules and ammonium polyphosphate to cotton fabric, endowing cottonwith thermoregulation and flame retardant properties. The coated fabrics were characterized based on scanning electronmicroscopy (SEM), water-vapor transmission rate (WVT), thermogravimetry (TG), differential scanning calorimetry (DSC),limiting oxygen index (LOI) and infrared thermal imaging. A fabric deposited with 20 bilayers (MCPM/APP-20) shows anappropriate WVT (50.57 g/m2·h) and improved flame retardancy with an LOI of 24.5 % and residual carbon of 34.53 %. Italso shows a melting enthalpy of 30.09 J/g, which results in a temperature difference of 6.4 °C compared with pristine cotton. The functional properties endowed by the LBL assembly are found to be reasonably durable, with the melting enthalpy andresidual carbon of MPCM/APP-20 reduced to 17.69 J/g and 19.64 %, respectively, after 30 laundering cycles. This studyprovides a convenient way to develop multifunctional cotton fabrics that can be good candidates for high-performancetextiles.

Expression and Detection of Retinol-Binding Protein-4 Gene of Pig in E. coli

LiNa Sun,WanHong Li,ShuXiong Chen,Chao Chen,XiaoFeng Hou,Yun Zhao,Lu Chen,ChunJin Li,Xu Zhou 한국동물생명공학회(구 한국동물번식학회) 2014 한국동물번식학회 한중일 심포지엄 Vol.2014 No.1

Retinol-Binding Protein-4 (RBP-4) is a low molecular weight lipocalin, which mainly functions as a carrier for vitamin A. Though liver is the main machinery for synthesis of this protein, it is also detectable in other extrahepatic tissues, for example, ovary, uterus, and placenta. Recent evidences have shown that RBP-4 plays important roles in animal reproduction, for example, promoting the development of uterus and embryo. To the best of our knowledge, our laboratory firstly reported that high level of RBP-4 existed in follicular fluid from follicular cysts in sows. Moreover, we have also found that RBP-4 could be secreted by granulosa cells, and RBP-4 receptor was detected in granulosa cells. However, there is no any evidence on the role of RBP-4 in regulating the follicular development. Therefore, cloning and expression of RBP-4 and preparation of polyclonal antibody could help us to explore the role of RBP-4 in follicular development. The aim of this work was to construct prokaryotic expression system of swine RBP-4 gene. The total RNA was extracted from swine’s normal ovarian tissue. The sequence including the whole length of RBP-4 was amplified by RT-PCR and inserted into pEASY-E1.Then transformed into E. coli BL21(DE3)pLysS after gene sequencing. Three hours later, adding IPTG with the final concentration of 1mmol/L and inducing five hours. After centrifugation, the supernatant was discarded. By adding Glucose to Luria-Bertani broth, the expressions of protein were increased. SDS-PAGE showed that the RBP-4 gene expressed in the form of inclusion body with a molecular weight of 21KD. Western-Blot results showed that the target protein could be specifically recognized by mouse anti-human monoclonal antibody. Prokaryotic expression vector of RBP-4 gene was successfully established, and the gene was successfully expressed n E. coli, which is ready for purification and RBP-4 polyclone antibody. Meanwhile, these results were beneficial to investigate the function of RBP-4 in follicular development.

Drying features of microwave and far-infrared combination drying on white ginseng slices

Xiaofeng Ning,Yulong Feng,Yuan Juan Gong,Yong Liang Chen,Junwei Qin,Danyang Wang 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.4

In this study microwave and far-infrared combinationdrying were conducted to investigate the effect ofmicrowave and far-infrared heating mode switching pointwater content (SW), ginseng slice thickness, and far-infrareddrying temperature on drying indicators (surfacecolour difference, ginsenosides content, and surfaceshrinkage rate) and drying efficiency (drying time) duringthe process of drying white ginseng slices. Regardingmicrowave drying, the microwave drying time cannotexceed 150 s, and the ginseng slice water content cannot beless 50%. For the combination drying, SW, far-infrareddrying temperature and slice thickness increased, the colourdifference and surface shrinkage rate first decreasedand then increased, and the content of ginsenosides firstincreased and then decreased. In addition, the combinationdrying showed faster drying rate, higher ginsenosidescontents value, colour difference (DE) value and lowersurface shrinkage rate than single far-infrared drying.

Construction of a Ginsenoside Content-predicting Model based on Hyperspectral Imaging

Xiaofeng Ning,Yuan Juan Gong,Yong Liang Chen,Hongbo Li 한국농업기계학회 2018 바이오시스템공학 Vol.43 No.4

Purpose: The aim of this study was to construct a saponin content-predicting model using shortwave infrared imaging spectroscopy. Methods: The experiment used a shortwave imaging spectrometer and ENVI spectral acquisition software sampling a spectrum of 910 nm–2500 nm. The corresponding preprocessing and mathematical modeling analysis was performed by Unscrambler 9.7 software to establish a ginsenoside nondestructive spectral testing prediction model. Results: The optimal preprocessing method was determined to be a standard normal variable transformation combined with the second-order differential method. The coefficient of determination, R², of the mathematical model established by the partial least squares method was found to be 0.9999, while the root mean squared error of prediction, RMSEP, was found to be 0.0043, and root mean squared error of calibration, RMSEC, was 0.0041. The residuals of the majority of the samples used for the prediction were between ±1. Conclusion: The experiment showed that the predicted model featured a high correlation with real values and a good prediction result, such that this technique can be appropriately applied for the nondestructive testing of ginseng quality.

Fuzzy system and Improved APIT (FIAPIT) combined range-free localization method for WSN

( Xiaofeng Li ),( Liangfeng Chen ),( Jianping Wang ),( Zhong Chu ),( Qiyue Li ),( Wei Sun ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.7

Among numerous localization schemes proposed specifically for Wireless Sensor Network (WSN), the range-free localization algorithms based on the received signal strength indication (RSSI) have attracted considerable research interest for their simplicity and low cost. As a typical range-free algorithm, Approximate Point In Triangulation test (APIT) suffers from significant estimation errors due to its theoretical defects and RSSI inaccuracy. To address these problems, a novel localization method called FIAPIT, which is a combination of an improved APIT (IAPIT) and a fuzzy logic system, is proposed. The proposed IAPIT addresses the theoretical defects of APIT in near (it`s defined as a point adjacent to a sensor is closer to three vertexes of a triangle area where the sensor resides simultaneously) and far (the opposite case of the near case) cases partly. To compensate for negative effects of RSSI inaccuracy, a fuzzy system, whose logic inference is based on IAPIT, is applied. Finally, the sensor`s coordinates are estimated as the weighted average of centers of gravity (COGs) of triangles` intersection areas. Each COG has a different weight inferred by FIAPIT. Numerical simulations were performed to compare four algorithms with varying system parameters. The results show that IAPIT corrects the defects of APIT when adjacent nodes are enough, and FIAPIT is better than others when RSSI is inaccuracy.

Real-time and Coordinated UAV Path Planning for Road Traffic Surveillance: A Penalty-based Boundary Intersection Approach

Xiaofeng Liu,Qiang Chen,Zhong-Ren Peng,Li-Ye Zhang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.8

Traffic surveillance of mountain roads accords problems of high risk, low efficiency, and high cost; thus, unmanned aerial vehicles (UAVs) are introduced for traffic surveillance, working in conjunction with a delivery van. UAVs are assigned to monitor the high-risk road segments, while the low-risk segments are monitored by the delivery van. UAVs take off from and return to the delivery van to improve the speed and flexibility of the traffic surveillance, with reduced risk. First, a real-time and coordinated UAV path-planning problem is presented, in which the number of monitored targets is dynamic and the delivery van is moving. Then, a multi-objective optimization model is proposed to minimize both the coordination value of UAV flight distance and the number of UAVs used. Next, a penalty-based boundary intersection optimization algorithm is proposed, which adopts the decomposition strategy and Pareto technique to acquire the optimized paths in real-time. In addition, a case study is implemented to compare the proposed algorithm with two commonly used algorithms and the results indicate that the proposed algorithm performs better with respect to solution quality and calculation time. Moreover, the cost versus performance of the UAV traffic surveillance was analyzed. This demonstrates that it is effective to use the proposed approach to conduct real-time and coordinated UAV path planning. Finally, the limitations and prospects of UAV traffic surveillance are presented.

Integrated aero-structural optimization design of pre-bend wind turbine blades

Xiaofeng Guo,Xiaoli Fu,Huichao Shang,Jin Chen 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.11

In the optimization design of a pre-bend wind turbine blade, there is a coupling relationship between blade aerodynamic shape and structural layup. The evaluation index of a wind turbine blade not only shows on conventional ones, such as Annual energy production (AEP), cost, and quality, but also includes the size of the loads on the hub or tower. Hence, the design of pre-bend wind turbine blades is a true multi-objective engineering task. To make the integrative optimization design of the pre-bend blade, new methods for the blade’s pre-bend profile design and structural analysis for the blade sections were presented, under dangerous working conditions, and considering the fundamental control characteristics of the wind turbine, an integrated aerodynamic-structural design technique for pre-bend blades was developed based on the Multi-objective particle swarm optimization algorithm (MOPSO). By using the optimization method, a three-dimensional Pareto-optimal set, which can satisfy different matching requirements from overall design of a wind turbine, was obtained. The most suitable solution was chosen from the Pareto-optimal set and compared with the original 1.5 MW blade. The results show that the optimized blade have better performance in every aspect, which verifies the feasibility of this new method for the design of pre-bend wind turbine blades.