Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks

Liu, Kai,Feng, Liang,Dai, Penglin,Lee, Victor C. S.,Son, Sang Hyuk,Cao, Jiannong IEEE 2018 IEEE transactions on intelligent transportation sy Vol.19 No.8

<P>This paper embarks the first study on exploiting the synergy between vehicular caching and network coding for enhancing the bandwidth efficiency of data broadcasting in heterogeneous vehicular networks by presenting a service architecture that exercises the software defined network concept. In particular, we consider the scenario where vehicles request a set of information and they could be served via heterogeneous wireless interfaces, such as roadside units and base stations (BSs). We formulate a novel problem of coding-assisted broadcast scheduling (CBS), aiming at maximizing the broadcast efficiency for the limited BS bandwidth by exploring the synergistic effect between vehicular caching and network coding. We prove the NP-hardness of the CBS problem by constructing a polynomial-time reduction from the simultaneous matrix completion problem. To efficiently solve the CBS problem, we employ memetic computing, which is a nature inspired computational paradigm for tackling complex problems. Specifically, we propose a memetic algorithm, which consists of a binary vector representation for encoding solutions, a fitness function for solution evaluation, a set of operators for offspring generation, a local search method for solution enhancement, and a repair operator for fixing infeasible solutions. Finally, we build the simulation model and give a comprehensive performance evaluation to demonstrate the superiority of the proposed solution.</P>

Bandwidth Efficiency and Service Adaptiveness Oriented Data Dissemination in Heterogeneous Vehicular Networks

Dai, Penglin,Liu, Kai,Wu, Xiao,Liao, Yong,Lee, Victor Chung Sing,Son, Sang Hyuk IEEE 2018 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY Vol.67 No.7

<P>Heterogeneous network resources are expected to cooperate with each other to support efficient data services in vehicular networks. However, current data scheduling methods cannot efficiently exploit the benefit of heterogeneous wireless communication interfaces in vehicular networks. In this paper, we propose a software-defined network based service architecture, which enables the scheduler to manage heterogeneous network resources in a centralized way. We analyze the heterogeneity of both data items and networks in terms of data sizes and network features (e.g., cost, transmission rate, coverage, etc.), respectively. On this basis, we formulate a data broadcast and network interface selection (DBNIS) problem, which aims to minimize both the service delay and the network access cost. To tackle the problem efficiently, we propose a coding-assisted multiobjective evolutionary algorithm (CMOEA), which consists of two components: packet encoding and network interface selection. Specifically, for packet encoding, we first develop a packet-size based random linear encoding (PRLE) technique to improve bandwidth efficiency. Then, we theoretically analyze the performance bound of PRLE. For network interface selection, we propose a multiobjective algorithm for network interface selection to adaptively satisfy dynamic requirements with respect to service delay and network access cost by deriving a set of pareto-solutions. Finally, we build the simulation model and implement CMOEA for performance evaluation. The comprehensive simulation results demonstrate the superiority of CMOEA under a wide range of scenarios.</P>

Corrigendum to “Adaptive scheduling for real-time and temporal information services in vehicular networks” [Transport. Res. Part C 71 (2016) 313–332]

Dai, Penglin,Liu, Kai,Feng, Liang,Zhuge, Qingfeng,Lee, Victor C.S.,Son, Sang H. Elsevier 2017 Transportation research. Part C, Emerging technolo Vol.75 No.-

Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization

Dai, Penglin,Liu, Kai,Feng, Liang,Zhang, Haijun,Lee, Victor Chung Sing,Son, Sang Hyuk,Wu, Xiao IEEE 2019 IEEE transactions on intelligent transportation sy Vol.20 No.1

<P>Temporal information services are critical in implementing emerging intelligent transportation systems. Nevertheless, it is challenging to realize timely temporal data update and dissemination due to an intermittent wireless connection and a limited communication bandwidth in dynamic vehicular networks. Some previous studies have considered the temporal data dissemination in vehicular networks, but they are limited to the service region, which is inside the coverage of roadside units. To enhance system scalability, it is imperative to exploit the synergic effect of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communications for providing efficient temporal information services in such an environment. With the above motivations, we propose a novel system architecture to enable efficient data scheduling in hybrid V2I/V2V communications by having the global knowledge of network resources of the system. On this basis, we formulate a temporal data upload and dissemination (<I>TDUD</I>) problem, aiming at optimizing two conflict objectives simultaneously, which are enhancing the data quality and improving the delivery ratio. Furthermore, we propose an evolutionary multi-objective algorithm called <I>MO-TDUD</I>, which consists of a decomposition scheme for handling multiple objectives, a scalable chromosome representation for <I>TDUD</I> solution encoding, and an evolutionary operator designed for <I>TDUD</I> solution reproduction. The proposed <I>MO-TDUD</I> can be adaptive to different requirements on data quality and delivery ratio by selecting the best solution from the derived Pareto solutions. Last but not least, we build the simulation model and implement <I>MO-TDUD</I> for performance evaluation. The comprehensive simulation results demonstrate the superiority of the proposed solution.</P>

Fertility and prognosis assessment between bleomycin/etoposide/cisplatin and paclitaxel/carboplatin chemotherapy regimens in the conservative treatment of malignant ovarian germ cell tumors: a multicenter and retrospective study

Ran Chu,Penglin Liu,Jingying Chen,Xiaodong Cheng,Kezhen Li,Yanci Che,Jianliu Wang,Li Li,Xi Zhang,Shu Yao,Li Song,Ying Zhao,Changzhen Huang,Ying Xue,Xiyu Pan,Junting Li,Zhongshao Chen,Jie Jiang,Beihua 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.2

Objective: To evaluate the impact of bleomycin/etoposide/cisplatin (BEP) and paclitaxel/carboplatin (PC) chemotherapy regimens on the fertility and prognostic outcomes in malignant ovarian germ cell tumor (MOGCT) patients who underwent fertility-sparing surgery (FSS). Methods: A propensity score matching algorithm was performed between the BEP and PC groups. The χ2 test and the Kaplan-Meier method were used to compare the fertility outcome, disease-free survival (DFS) and overall survival (OS). The Cox proportional hazards regression analysis was used to identify risk factor of DFS. Results: We included 213 patients, 185 (86.9%) underwent BEP chemotherapy, and 28 (13.1%) underwent PC chemotherapy. The median age was 22 years (range, 8–44 years), and the median follow-up period was 63 months (range, 2–191 months). Fifty-one (29.3%) patients had a pregnancy plan, and 35 (85.4%) delivered successfully. In the before and after propensity score matching cohorts, there were no significant differences in spontaneous abortion, selective termination of pregnancy, during-pregnancy status, and live birth between the BEP and PC groups (p>0.05). Fourteen (6.6%) patients experienced recurrence, including 11 (5.9%) in the BEP group and 3 (10.7%) in the PC group. Four (1.9%) patients in the BEP group died. Kaplan-Meier analysis revealed no significant differences in DFS (p=0.328) and OS (p=0.446) between the BEP and PC groups, and the same survival results were observed in the after matching cohort. Conclusion: The PC regimen is as safe as the BEP regimen for MOGCT patients with fertility preservation treatment, and no differences were observed in fertility and clinical prognosis.

Blocking TBK1 alleviated radiation-induced pulmonary fibrosis and epithelial-mesenchymal transition through Akt-Erk inactivation

Hongjin Qu,Lei Liu,Zhe Liu,Hongran Qin,Zebin Liao,Penglin Xia,Yanyong Yang,Bailong Li,Fu Gao,Jianming Cai 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-

As a common serious complication of thoracic radiotherapy, radiation-induced pulmonary fibrosis (RIPF) severely limits radiation therapy approaches. Epithelial–mesenchymal transition (EMT) is a direct contributor to the fibroblast pool during fibrogenesis, and prevention of EMT is considered an effective strategy to inhibit tissue fibrosis. Our previous study revealed that TANK-binding kinase 1 (TBK1) regulates EMT in lung cancer cells. In the present study, we aimed to investigate the therapeutic potential of targeting TBK1 to prevent RIPF and EMT progression. We found radiationinduced EMT and pulmonary fibrosis in normal alveolar epithelial cells and lung tissues. TBK1 knockdown or inhibition significantly reversed EMT in vivo and in vitro and attenuated pulmonary fibrosis and collagen deposition. Moreover, we observed that TBK1 was elevated in a time- and dose-dependent manner by radiation. Meanwhile, radiation also induced time- and dose-dependent activation of AKT and ERK, each of whose inhibitors suppressed radiation-induced EMT. Intriguingly, silencing of TBK1 with shRNA also blocked the radiation-induced activation of AKT and ERK signaling. The ERK inhibitor did not obviously affect the expression of TBK1 or phosphorylated AKT, while AKT inhibition suppressed activation of ERK without changing the expression of TBK1. Finally, we found that a TBK1 inhibitor inhibited inflammatory cytokine expression in a RIPF model and Amlexanox protected normal cells and mice from ionizing radiation. In conclusion, our results indicate that the TBK1–AKT–ERK signaling pathway regulates radiation-induced EMT in normal alveolar epithelial cells, suggesting that TBK1 is a potential target for pulmonary fibrosis prevention during cancer radiotherapy

Research on Grey Predictive Control of PMSM Based on Reduced-order Luenberger Observer

Huang Xianghui,Guan Penglin,Pan Hongguang,Liu Shulin,Du Guanghui,Huang Xinyi,Wang Xueyan 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.5

To further improve the dynamic and anti-interference performance of permanent magnet synchronous motor (PMSM) control system, a dual closed loop model predictive control (MPC) strategy combining with grey prediction and reduced-order Luenberger observer is proposed in this paper for speed and current control. To be specifi c, fi rstly, the dual closed loop MPC strategy is introduced based on the mathematical model of PMSM, that is, the model predictive controller is used for the outer loop of speed, and the deadbeat predictive controller for the inner loop of current. Secondly, considering the grey prediction method can establish grey model and whiten the system grey quantity to some extent, it is used in the PMSM control system to improve the dynamic performance. Finally, to solve the problem that the motor is easy to be aff ected by disturbances, a reduced-order Luenberger observer is designed to combine with the model predictive controller to improve the system anti-interference performance. The simulation results show that the dual MPC strategy based on grey prediction makes the system more stable and dynamic response faster, while the dual MPC strategy combining with the grey prediction and the reduced-order Luenberger observer makes the system more resistant to load disturbance.