An Improved Authentication and Key Agreement scheme for Session Initial Protocol

( Libing Wu ),( Jing Fan ),( Yong Xie ),( Jing Wang ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.8

Session initiation protocol (SIP) is a kind of powerful and common protocols applied for the voice over internet protocol. The security and efficiency are two urgent requirements and admired properties of SIP. Recently, Hamed et al. proposed an efficient authentication and key agreement scheme for SIP. However, we demonstrate that Hamed et al.`s scheme is vulnerable to de-synchronization attack and cannot provide anonymity for users. Furthermore, we propose an improved and efficient authentication and key agreement scheme by using elliptic curve cryptosystem. Besides, we prove that the proposed scheme is provably secure by using secure formal proof based on Burrows-Abadi-Needham logic. The comparison with the relevant schemes shows that our proposed scheme has lower computation costs and can provide stronger security.

Distal pancreatectomy with splenectomy for the management of splenic hilum metastasis in cytoreductive surgery of epithelial ovarian cancer

Libing Xiang,Yunxia Tu,Tiancong He,Xuxia Shen,Ziting Li,Xiaohua Wu,Huijuan Yang 대한부인종양학회 2016 Journal of Gynecologic Oncology Vol.27 No.6

Objective: Distal pancreatectomy with splenectomy may be required for optimalcytoreductive surgery in patients with epithelial ovarian cancer (EOC) metastasized tosplenic hilum. This study evaluates the morbidity and treatment outcomes of the uncommonprocedure in the management of advanced or recurrent EOC. Methods: This study recruited 18 patients who underwent distal pancreatectomy withsplenectomy during cytoreductive surgery of EOC. Their clinicopathological characteristicsand follow-up data were retrospectively analyzed. Results: All tumors were confirmed as high-grade serous carcinomas. The mediandiameter of metastatic tumors located in splenic hilum was 3.5 cm (range, 1 to 10 cm). Optimal cytoreduction was achieved in all patients. Eight patients (44.4%) sufferedfrom postoperative complications. The morbidity associated with distal pancreatectomyand splenectomy included pancreatic leakage (22.2%), encapsulated effusion in theleft upper quadrant (11.1%), intra-abdominal infection (11.1%), pleural effusion withor without pulmonary atelectasis (11.1%), intestinal obstruction (5.6%), pneumonia(5.6%), postoperative hemorrhage (5.6%), and pancreatic pseudocyst (5.6%). Therewas no perioperative mortality. The majority of complications were treated successfullywith conservative management. During the median follow-up duration of 25 months,nine patients experienced recurrence, and three patients died of the disease. The 2-yearprogression-free survival and overall survival were 40.2% and 84.8%, respectively. Conclusion: The inclusion of distal pancreatectomy with splenectomy as part ofcytoreduction for the management of ovarian cancer was associated with high morbidity;however, the majority of complications could be managed with conservative therapy.

Optimization and Analysis of a Novel Magnetic-Geared Hybrid Excitation Motor Considering the Thermal Magnetic Coupling

Wu Zheyu,Jing Libing 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.6

Magnetic-Geared Motor (MGM) is a new type of permanent magnet motor with multiple modulated air gaps. Application prospects of MGM in hybrid vehicles, aerospace and other fields have gained widespread attention due to its high torque density and power factor. But the output torque of MGM cannot be adjusted because of the invariable output torque of magnetic gear. In this paper, a novel 4/22 Magnetic-Geared Hybrid Excitation Motor (MGHEM) is presented. DC winding slots are added in both sides of the stator teeth to adjust the flux of the external PM and output torque. The structure parameters of MGHEM are optimized by a multi-objective genetic algorithm to suppress temperature rise to reduce irreversible demagnetization and to accommodate higher rotor speeds. The electromagnetic properties of MGHEM are analyzed and compared with conventional MGM through finite element method. The results show that MGHEM has ability to increase torque transmitting ability and range of speed. The irreversible demagnetization of PM is reduced by optimization considering the thermal magnetic coupling.

Using GA - BP Coupling Algorithm to Predict the High-performance Concrete Mechanical Property

Libing Jin,Jie Duan,Tai Fan,Pengfei Jiao,Tianyun Dong,Qiang Wu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.2

As a cementitious composite, concrete’s property depends on the matrix generated from cement hydration and the dispersed phases such as aggregates. Compression strength is an important mechanics performance index of concrete quality, especially the High-performance Concrete (HPC). However, owing to the expensive cost of test and the existence of high-dimensional nonlinear mapping between compression strength and basic materials, it is uneasiness to precisely forecast the compression strength value of HPC by general formula method. In this research, a novel machine learning system, Genetic Algorithm and BP Neural Network (GA-BPNN) coupling algorithm, is offered to predict the compression strength of HPC. GA-BPNN coupling algorithm model used 181 groups of HPC mixture data to determine 8 factors affecting its compression strength (i.e., Water, Portland Cement, Water-binder Ratio, Fine Aggregate Ratio, Air-entraining Agent, Fly Ash, Silica Fume, and Superplasticizer) as the input variables of the model, while compression strength was set as the output variable. In addition, 166 sets of training set data were segmented into training, validation and test set again, and BP neural network (BPNN) was compared with GA-BPNN to verify the generalizationcapacity of the model in this research. By forecasting the compression strength of 15 test sets, the average relative error is only 0.902%. Finally, the sensitivity of input variables of GA-BPNN model was analyzed by using Gray Relational analysis (GRA) method. Six models were established to research the impact of sensitivity and quantity of input variables on model performance by ignoring individual input variable. The research is shown that GA-BPNN model not only has the powerful nonlinear mapping ability of BPNN, but also has the global search optimization ability of GA, and showed stronger robustness and prediction potential in the assessment of compression strength value of HPC. The sensitivity analysis shows that, to compression strength of HPC, Cement, Water and Water-binder ratio has a sensitivity score of 0.8166, 0.70122, 0.66772, respectively while Fly Ash has the lowest sensitivity.

Adaptive Asymptotic Tracking Fault-tolerant Control of Uncertain Nonlinear Systems with Actuator Failures and Event-triggered Inputs

Yan Yan,Libing Wu,Nannan Zhao,Ruiyan Zhang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.3

This paper is concerned with the problem of adaptive asymptotic tracking fault-tolerant control (FTC) for uncertain nonlinear systems with actuator faults and event-triggered inputs. Firstly, fault-tolerant controller is designed to effectively compensate the unknown actuator failures by constructing the proper parameter updated laws. Then, the event-triggered strategy based on the relative threshold method is applied to the proposed adaptive fault-tolerant controller. Furthermore, it is proved that all the closed-loop signals are uniformly bounded and the tracking error can asymptotically converge to zero. Finally, the simulation results are given to demonstrate the effectiveness of the presented control scheme.

Mutational analysis of KRAS and its clinical implications in cervical cancer patients

Wei Jiang,Libing Xiang,Xuan Pei,Tiancong He,Xuxia Shen,Xiaohua Wu,Huijuan Yang 대한부인종양학회 2018 Journal of Gynecologic Oncology Vol.29 No.1

Objective: The predictive and prognostic role of KRAS mutations in cervical cancer remainsinconclusive. The aim of this study was to explore the clinicopathological and prognosticrelevance of KRAS mutations in invasive cervical cancers (ICC). Methods: Reverse transcription polymerase chain reaction (PCR) and Sanger sequencingwere employed to detect KRAS mutations in 876 ICC patients. Quantitative real-time PCR wasused to detect human papillomavirus (HPV) 16 and HPV 18. Results: Non-synonymous mutations of KRAS were identified in 30 (3.4%) patients. Thesemutations were more common in non-squamous cell carcinoma than in squamous cellcarcinoma (SCC) (8.2% vs. 2.2%, respectively, p<0.001) and were associated with HPV 18infection (p=0.003). The prevalence of mutations was highest (18.2%) in the uncommonhistological subtypes followed by adenocarcinoma (AC, 7.3%) and adenosquamouscarcinoma (ASC, 5.8%). During the median follow-up of 55 months, compared to patientswith wild-type KRAS, a greater percentage of patients with mutant KRAS relapsed (20.0%vs. 42.9%, respectively, p=0.007). The 3-year relapse-free survival was poorer in patientswith mutant KRAS than in patients without KRAS mutations (57.1% vs. 81.9%, respectively,p=0.001). Furthermore, the multivariate analysis showed that the presence of a KRASmutation was an independent predictor for disease recurrence (hazard ratio [HR]=2.064;95% confidence interval [CI]=1.125–3.787; p=0.019). Conclusion: KRAS mutations were predominant in non-SCCs of the cervix and wereassociated with HPV 18 infection. A combination of KRAS mutation detection andHPV genotyping would be useful in identifying patient with poor prognosis for furtherinterventions.

Addendum: A phase II trial of cytoreductive surgery combined with niraparib maintenance in platinum- sensitive, secondary recurrent ovarian cancer: SGOG SOC-3 study

Ting-Yan Shi,Libing Xiang,Jianqing Zhu,Ji-hong Liu,Ping Zhang,Hua-ying Wang,Yanling Feng,Tao Zhu,Yingli Zhang,Aijun Yu,Wei Jiang,Xipeng Wang,Yaping Zhu,Sufang Wu,Yincheng Teng,Jiejie Zhang,Rong Jiang 대한부인종양학회 2022 Journal of Gynecologic Oncology Vol.33 No.4

Fast Finite-time Attitude Tracking Control of Rigid Spacecraft with Quantized Input Signals

Man Yu,Ming Chen,Libing Wu 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6

The problem of fast finite-time attitude tracking quantized control is addressed for rigid spacecraft in the paper. With the help of the backstepping technique, hysteresis quantizer and the finite-time control scheme, a novel fast finite-time attitude controller is proposed. The modified Rodriguze parameters (MRPs) are used to describe the dynamic and kinematic equations of rigid spacecraft system. Then by utilizing Lagrange theorem, rigid spacecraft attitude system is transformed into a common strict feedback system. Next, a new coordinate transformation is introduced, which will be used in the presented controller. Based on the backstepping strategy, the sufficient conditions for the existence of the fast finite-time controller are presented. Theoretical analysis shows that the attitude tracking errors rapidly converge to the equilibrium point within finite time. Meanwhile, all the signals of the close-loop system are bounded. Simulation results demonstrate the effectiveness of the proposed approach.

Detection and quantification of phenol in liquid and gas phases using a clay/dye composite

Guocheng Lv,Shiyuan Liu,Meng Liu,Libing Liao,Limei Wu,Lefu Mei,Zhaohui Li,Caofeng Pan 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.62 No.-

In this study, an organic dye lucigenin (BNMA) was successfully intercalated into the interlayer of montmorillonite (MMT) to prevent fluorescence quenching. With its enhanced fluorescent property, the composite was fabricated into solid strips for it fast and sensitive phenol detection in both liquid and gas phases. Under proper optimizations it is anticipated that the composite would show great potential for phenol determination in real world environment such as wastewater treatment industry.

Adaptive Neural Tracking Control of Full-state Constrained Nonstrict-feedback Time-delay Systems with Input Saturation

Xin Liu,Chuang Gao,Huanqing Wang,Libing Wu,Yonghui Yang 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.8

In this study, an adaptive neural backstepping control scheme is proposed for a class of nonstrict-feedback time-delay systems with input saturation, full-state constraints and unknown disturbances. A structural property of radial basis function neural network is presented to deal with the design from the nonstrict-feedback formation. This method does not require the parameter separation technique and its assumption. With the help of the Lyapunov-Krasovskii functionals and Young’s inequalities, the effects of time delays are compensated, and the unknown disturbances are eliminated in the design process. The barrier Lyapunov function (BLF) is applied to arrest the violation of the full-state constraints. To overcome the problem of input saturation nonlinearity, the smooth nonaffine function of the control input signal is adopted to approach the input saturation function. Moreover, an adaptive backstepping neural control strategy is proposed. The proposed adaptive neural controller ensures that all the closed-loop signals are semi-globally uniformly ultimately bounded (SGUUB). Furthermore, the tracking error can converge to a small neighborhood of the origin. The simulation result shows the effectiveness of this method.