Comparative transcriptome analyses of drought-resistant and - susceptible Brassica napus L. and development of EST-SSR markers by RNA-Seq

Daojie Wang,Cuiling Yang,Long Dong,Jiacheng Zhu,Jianping Wang,Shufeng Zhang 한국식물학회 2015 Journal of Plant Biology Vol.58 No.4

Brassica napus is a dicotyledonous plant in the family Brassicaceae. It is an important oil crop which has been widely cultivated over the world. However, drought stress is a very important threatening to B. napus production. In this study, two B. napus strains with different resistance to drought stress were treated with 200 g/L PEG-6000 as drought simulation agent (marked as S, R)and two controls were treated with 1/2 Hoagland medium(marked as ST, RT). With the help of Illumina paired-end RNA-seq technology and de novo assembly by Trinity, we obtained 107,294 Unigenes (integrated four sample results) with an average length of 834 bp and N50 1245. Of these Unigenes, 84,768, 92,545, 54,857, 28,129, 75,278 were assigned to NR, NT, Swiss-Prot, COG and GO database respectively. A total of 46,861 were mapped to 128 pathways by BLAST comparison against the KEGG database. In order to have an overall understanding of the unique genes’ expression difference among four samples, we utilized RPKM to calculate Unigene expression, and to identify differentially expressed genes. Besides, 22,414 SSRs were developed in this study.

A MOTION DECOUPLING CONTROL BASED ON DIFFERENTIAL GEOMETRY FOR DISTRIBUTED DRIVE ARTICULATED HEAVY VEHICLE

Bao Hua Wang,Jiacheng Zhang,Weilong Wang,Yuchen Sun 한국자동차공학회 2024 International journal of automotive technology Vol.25 No.2

A vehicle system motion decoupling control method was proposed to address challenges in controlling articulated heavyvehicles (AHVs). The method, based on diff erential geometry theory, focused on distributed electric drive AHVs. Its objectivewas to separate the highly nonlinear and strongly coupled dynamics system into two relatively independent subsystems:longitudinal and lateral motions. Additionally, a robust controller was designed to improve the vehicle’s resistance toexternal disturbances like side winds. Simulation tests using a TruckSim model of a distributed electric drive AHV showsignifi cant improvements compared to vehicles without decoupling control. The rearward amplifi cation (RA) is reducedby 4.5%, the longitudinal velocity deviation by 67.5%, and the yaw rate deviation by 69.7%. The vehicle also demonstratesenhanced stability when subjected to strong breeze disturbances. To validate the control performance in real-time systems,the hardware-in-the-loop tests were conducted, which confi rms the eff ectiveness of the proposed control approach in practicalapplications.

NiO/Ti3C2Tx MXene nanocomposites sensor for ammonia gas detection at room temperature

Jiacheng Yang,Yingang Gui,Yunfeng Wang,Shasha He 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.119 No.-

Poultry feeding will lead to a large amount of ammonia(NH3) emissions, which will seriously affect thequality of meat. Herein, we report a resistive sensor based on NiO/Ti3C2Tx sensitive nanocompositesfor NH3 detection in a natural environment. The nanocomposites were prepared by modifying twodimensional(2D) Ti3C2Tx MXene with nickel oxide (NiO) nanoparticles (NPs) by a simple ultrasonicself-assembly method. The results show that the NiO/Ti3C2Tx MXene nanocomposite sensor exhibits ahigh sensitivity of 6.13 % to 50 ppm NH3 at room temperature (RT), which is 8.7 times higher than thatof the pure Ti3C2Tx MXene sensor. In other words, the addition of NiO NPs can significantly enhance thegas-sensing response of pure Ti3C2Tx MXene to NH3 at RT. Meanwhile, the response and recovery timewere also effectively improved (63 s/19 s) due to the addition of NiO NPs. Furthermore, the responseof the nanocomposite sensor to volatile organic compounds (VOCs) was investigated, and the resultsshowed its prospective and high selectivity. On the other hand, the nanocomposite sensor exhibits goodrepeatability and long-term stability. Finally, a possible sensing mechanism is proposed to improve sensorperformance.

Optimized junction temperature fluctuation suppression technique for SiC MOSFETs in a wireless charging system

Ruoyin Wang,Xueliang Huang,Jiacheng Li 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.5

The problem of SiC MOSFET junction temperature fluctuation in wireless charging systems must be addressed immediately. The existing temperature fluctuation suppression technique requires a large number of additional switches and capacitors. This study further optimizes the temperature fluctuation tracking suppression (TFTS) strategy. This method realizes closedloop temperature adjustment and greatly simplifies the system structure. In addition, an optimized TFTS (OTFTS) strategy combined with an optimized proportional–integral–derivative control method is proposed to solve integral saturation and the subsequent control instability phenomenon. Then, a 5.5 kW experimental system is built. Results show that the OTFTS strategy eliminates 17.9 °C junction temperature fluctuation on the basis of reducing the hardware cost. It also has a good dynamic response and junction temperature fluctuation suppression effect.

A Classification Algorithm Based on Data Clustering and Data Reduction for Intrusion Detection System over Big Data

( Qiuhua Wang ),( Xiaoqin Ouyang ),( Jiacheng Zhan ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.7

With the rapid development of network, Intrusion Detection System(IDS) plays a more and more important role in network applications. Many data mining algorithms are used to build IDS. However, due to the advent of big data era, massive data are generated. When dealing with large-scale data sets, most data mining algorithms suffer from a high computational burden which makes IDS much less efficient. To build an efficient IDS over big data, we propose a classification algorithm based on data clustering and data reduction. In the training stage, the training data are divided into clusters with similar size by Mini Batch K-Means algorithm, meanwhile, the center of each cluster is used as its index. Then, we select representative instances for each cluster to perform the task of data reduction and use the clusters that consist of representative instances to build a K-Nearest Neighbor(KNN) detection model. In the detection stage, we sort clusters according to the distances between the test sample and cluster indexes, and obtain k nearest clusters where we find k nearest neighbors. Experimental results show that searching neighbors by cluster indexes reduces the computational complexity significantly, and classification with reduced data of representative instances not only improves the efficiency, but also maintains high accuracy.

Distributed Formation Control of Quadrotor UAVs Based on Rotation Matrices without Linear Velocity Feedback

Yanjie Chen,Jiacheng Liang,Zhiqiang Miao,Yaonan Wang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.10

This paper considers the problem of the formation control for multiple underactuated quadrotor UAVs without linear velocity measurements. The objective of this paper is expected to realize smooth formation performances for a quadrotor group. A distributed formation controller is designed directly using rotation matrices to obviate the singularities associated with the Euler-angles or the ambiguity of quaternions. A two-step procedure isadopted for the control development after transforming the dynamics of each quadrotor into a new form. At first, an intermediary control variable is introduced to achieve the formation control, where some auxiliary systems are designed in the presence of lacking linear velocity measurements. Then, based on the thrust force and reference angular velocity decoded from the intermediary control variable, the torque input of each quadrotor is proposed for angular velocity tracking. The case of formation control with a virtual leader is also investigated, where at least one quadrotor has the information of the leader. The asymptotic stability of the proposed control system is analyzed by Lyapunov-like tools, and the effectiveness of the proposed control method is verified by simulation studies. Thesimulation results show that the proposed method can guide the quadrotor group to form the desired formation smoothly without linear velocity feedback, which has great potentials for the UAV group to execute the challenging mission in hostile environments.

Undecanoic Acid, Lauric Acid, and N-Tridecanoic Acid Inhibit Escherichia coli Persistence and Biofilm Formation

( Xing Jin ),( Jiacheng Zhou ),( Gabriella Richey ),( Mengya Wang ),( Sung Min Choi Hong ),( Seok Hoon Hong ) 한국미생물생명공학회(구 한국산업미생물학회) 2021 Journal of microbiology and biotechnology Vol.31 No.1

Persister cell formation and biofilms of pathogens are extensively involved in the development of chronic infectious diseases. Eradicating persister cells is challenging, owing to their tolerance to conventional antibiotics, which cannot kill cells in a metabolically dormant state. A high frequency of persisters in biofilms makes inactivating biofilm cells more difficult, because the biofilm matrix inhibits antibiotic penetration. Fatty acids may be promising candidates as antipersister or antibiofilm agents, because some fatty acids exhibit antimicrobial effects. We previously reported that fatty acid ethyl esters effectively inhibit Escherichia coli persister formation by regulating an antitoxin. In this study, we screened a fatty acid library consisting of 65 different fatty acid molecules for altered persister formation. We found that undecanoic acid, lauric acid, and N-tridecanoic acid inhibited E. coli BW25113 persister cell formation by 25-, 58-, and 44-fold, respectively. Similarly, these fatty acids repressed persisters of enterohemorrhagic E. coli EDL933. These fatty acids were all medium-chain saturated forms. Furthermore, the fatty acids repressed Enterohemorrhagic E. coli (EHEC) biofilm formation (for example, by 8-fold for lauric acid) without having antimicrobial activity. This study demonstrates that medium-chain saturated fatty acids can serve as antipersister and antibiofilm agents that may be applied to treat bacterial infections.

Fatigue characteristics of distributed sensing cables under low cycle elongation

Dan Zhang,Jiacheng Wang,Bo li,Bin Shi 국제구조공학회 2016 Smart Structures and Systems, An International Jou Vol.18 No.6

When strain sensing cables are under long-term stress and cyclic loading, creep may occur in the jacket material and each layer of the cable structure may slide relative to other layers, causing fatigue in the cables. This study proposes a device for testing the fatigue characteristics of three types of cables operating under different conditions to establish a decay model for observing the patterns of strain decay. The fatigue characteristics of cables encased in polyurethane (PU), GFRP-reinforced, and wire rope-reinforced jackets were compared. The findings are outlined as follows. The cable strain decayed exponentially, and the decay process involved quick decay, slow decay, and stabilization stages. Moreover, the strain decay increased with the initial strain and tensile frequency. The shorter the unstrained period was, the more similar the initial strain levels of the strain decay curves were to the stabilized strain levels of the first cyclic elongation. As the unstrained period increased, the initial strain levels of the strain decay curves approached those of the first cyclic elongation. The tested sensing cables differed in the amount and rate of strain decay. The wire rope-reinforced cable exhibited the smallest amount and rate of decay, whereas the GFRP-reinforced cable demonstrated the largest.

Vibration analysis of train-bridge system with a damaged pier by flotilla collision and running safety of high-speed train

Chaoyi Xia,Kunpeng Wang,Jiacheng Huang,He Xia,Lin Qi,Xuan Wu 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.1

The dynamic responses of a pier-pile-soil system subjected to a barge/flotilla collision are analyzed. A coupled highspeed train and bridge system with a damaged pier after barge/flotilla collision is established by taking the additional unevenness of the track induced by the damaged pier as the self-excitation of the system. The whole process of a CRH2 high-speed train running on the 6×32 m simply-supported PC (prestressed concrete) box-girder bridge with a damaged pier is simulated as a case study. The results show that the lateral displacements and accelerations of the bridge with a damaged pier are much greater than the ones before the collision. The running safety indices of the train increase with the train speed as well as with the number of barges in the flotilla. In flotilla collision, the lateral wheel/rail forces of the train exceed the allowable values at a certain speed, which influences the running safety of the trains.

A dynamic multi-objective evolutionary algorithm based on prediction

Wu Fei,Chen Jiacheng,Wang Wanliang 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1

The dynamic multi-objective optimization problem (DMOP) is a common problem in optimization problems; the main reasons are the objective’s conflict and environment changes. In this paper, we provide a prediction approach based on diversity screening and special point prediction (DSSP) to tackle the dynamic optimization issue. First, we introduce a decision variable clustering and screening strategy that clusters the decision space of the non-dominated solution set to find the cluster centroids and then employs a decision variable screening strategy to filter out solutions that have an impact on the distribution of individuals. This approach can broaden the range of dynamic multi-objective optimization algorithms. Second, an approach for predicting special points is suggested. The algorithm’s convergence is improved following environmental changes by forecasting the special point tracking Pareto front in the object space. Finally, the forward-looking center points are used to predict the non-dominated solution set and eliminate the useless individuals in the population. The prediction strategy can help the solution set converge while maintaining its diversity, which is compared with the four other state-of-the-art strategies. Our experimental results demonstrate that the proposed algorithm, DSSP, can effectively tackle DMOPs.