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Molecular Characterization and Expression Analysis of GhWRI1 in Upland Cotton
Jinping Hua,Yanpeng Zhao,Zhengjie Liu,Xinwang Wang,Yumei Wang 한국식물학회 2018 Journal of Plant Biology Vol.61 No.4
Numerous genes were involved in oil metabolism,transcription factors are the key genes, such as WRINKLED(AtWRI1, At3g54320) in Arabidopsis. A homolog of AtWRI1,GhWRI1 (accession number: JF430801), was cloned in presentstudy. Promoter activity analyses revealed that activityelements were existed in the upstream of GhWRI1 initiationcodon between -912 ~ -720 bp and -372 ~ -177 bp regions. The putative transcriptional activity domain was localized inthe C-terminal of GhWRI1 protein. GhWRI1 was moreabundant in high oil content materials and elevated expressionwith cottonseed development, suggesting the crucial role inseed oil accumulation. Meanwhile, expression level of GhWRI1was induced under multiple abiotic stresses, suggesting thatGhWRI1 might participate in cotton responding to stresses. Overexpression of GhWRI1 increased seed oil content andseed weight in transgenic Arabidopsis thaliana. In transgenicplants, genes downstream of AtWRI1, such as enoyl-ACPreductase (AtEAR, At2g05990), pyruvate kinases (AtPKp2,At5g52920), and pyruvate dehydrogenase subunit (AtPDHE1α,At1g01090) were up-regulated expression two to five timescompared with the wild-type. The results suggested that GhWRI1could be used in regulating oil accumulation in cottonseeds.
Xin Wang,Wei Zhang 한국정보과학회 2020 Journal of Computing Science and Engineering Vol.14 No.3
Time predictability is crucial for hard real-time and safety-critical systems. In an integrated CPU-GPU (graphic processing units) architecture, the shared last-level cache (LLC) can cause a large number of interferences between CPU and GPU LLC accesses with diverse patterns and characteristics, which can significantly impact the performance and time predictability of both CPUs and GPUs. In this paper, we explore cache partitioning, locking, and a combination of them to make the LLC time-predictable for integrated CPU-GPUs while achieving high performance. By evaluating these LLC management approaches, we can provide real-time system developers recommendations on the most effective time-predictable LLC designs for heterogeneous CPU-GPU multicore processors.
Multipath Routing and Spectrum Allocation for Network Coding Enabled Elastic Optical Networks
Xin Wang,Yuefeng Ji,Rentao Gu 한국광학회 2017 Current Optics and Photonics Vol.1 No.5
The benefits of network coding in all-optical multicast networks have been widely demonstrated. Inthis paper, we mainly discuss the multicast service efficiently provisioning problem in the network codingenabled elastic optical networks (EONs). Although most research on routing and spectrum allocation (RSA)has been widely studied in the elastic optical networks (EONs), rare research studies RSA for multicastin the network coding enabled EON, especially considering the time delay constraint. We propose anefficient heuristic algorithm, called Network Coding based Multicast Capable-Multipath Routing andSpectrum Allocation (NCMC-MRSA) to solve the multipath RSA for multicast services in the networkcoding enabled EON. The well-known layered graph approach is utilized for NCMC-MRSA, and tworequest ordering strategies are utilized for multiple multicast requests. From the simulation results, weobserve that the proposed algorithm NCMC-MRSA performs more efficient spectrum utilization comparedwith the benchmark algorithms. NCMC-MRSA utilizing the spectrum request balancing (SRB) orderingstrategy shows the most efficient spectrum utilization performance among other algorithms in most testnetworks. Note that we also observe that the efficiency of NCMC-MRSA shows more obvious than thebenchmark algorithm in large networks. We also conduct the performance comparisons of two requestordering strategies for NCMC-MRSA. Besides, we also evaluate the impact of the number of the linkdisjointparallel w paths on the spectrum utilization performance of the proposed algorithm NCMC-MRSA. It is interesting to find that the change of the parameter w in a certain range has a significant impacton the performance of NCMC-MRSA. As the parameter w increases to a certain value, the performancesof NCMC-MRSA cannot be affected by the change of w any more.
The LQR Baseline with Adaptive Augmentation Rejection of Unmatched Input Disturbance
Xin Wang,Xin Chen,Liyan Wen 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3
In this paper, disturbance rejection algorithm based on model reference adaptive control (MRAC) augmentationof linear quadratic regulator (LQR) controller is investigated for uncertain turbulence disturbances. Thedirect adaptive state feedback optimal controller based on an LDU gain decomposition parameterization is designedto solve the turbulence compensation problem to enhance control performance. Under the proposed control techniques,the bounded stability is achieved and the controller is able to remain within tight bounds on the matchedand unmatched uncertainties. Finally, simulation results are presented to illustrate the effectiveness of the proposedMRAC augmentation of LQR controller.
Xin Wang,Bin Yang,Kun Gao,Jian-an Fang 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.6
In this paper, finite-time global synchronization control problem for a class of nonlinear coupling Markovian switched complex networks (NCMSCNs) is investigated. Furthermore, according to differentiability of nonlinear coupling function g(x,y), g(x,y) how to affect synchronization dynamics of the class of NCMSCNs is analyzed by two viewpoints. The first is that if g(x,y) satisfies the Lipschitz condition and is derivable, the above question is discussed by taking g(x,y) = L1x+L2y, g(x,y) = -L1x+L2y, g(x,y) = L1x-L2y and g(x,y) = -L1x-L2y, where L1 > 0, L2 > 0. The second is that if nonlinear coupling function g(x,y) only satisfies the Lipschitz condition, by analyzing the differences of synchronization control rules for the class of NCMSCNs and a class of linear coupling Markovian switched complex networks (LCMSCNs), the problem is explored. Comparing the previous works [12,21,22,26,33,34], the main improvement of this paper is that the works of this paper extend the existed analyzing ideas of the finite-time global synchronization for nonlinear coupling complex networks, including NCMSCNs.
GPGPU Functional Units Power Gating for Leakage Energy Reduction
Xin Wang,Wei Zhang 한국정보과학회 2020 Journal of Computing Science and Engineering Vol.14 No.3
The execution units of GPUs (graphics processing units) have been observed to produce many idle cycles that could be a tremendous waste of energy consumption which meanwhile provides a hint to build a more energy-efficient system to operate GPUs if idle cycles can be appropriately taken care of. However, power-gating without foresight can be dangerous since inaccurate decisions on power-gating will introduce unaffordable overhead on both energy consumption and performance. In this paper, we examine the length of execution units’ idle cycles for several representative GPGPU applications and evaluate the distribution of the idleness durations. We then propose the energy-saving strategies with focus on discovering potential execution units’ power-gating opportunities. The idle durations are recorded in the runtime for various computing units in streaming multiprocessors (SMs) including integer units and floating units in streaming processors (SPs) and special function units (SFUs). By analyzing the observed idleness, we propose to enhance the energy efficiency through two execution units’ power-gating policies, the immediate power-gating (IPG) and idle detect power-gating (ID-PG). Furthermore, we examine the policies with various parameter settings to offer insights on possible gains and losses of the power-gating techniques. Besides, by noticing that integer units are the most popular computing units for many applications, we introduce the power-aware SP(s) to increase the throughput of integer instructions. It was observed that the power-aware SP can provide performance enhancement as well as the leakage energy reduction for several applications. The experimental results show that both the policies can result in satisfactory leakage energy saving on execution units. The IPG can reduce the execution unit’s leakage energy by 84.3% when the break-even time is set to 5 cycles. Even if the break-even time goes up to 20 cycles, the ID-PG can save 67.1% of the total execution units’ leakage energy. Moreover, involving power-aware SP(s) can improve the performance by up to 14.4% and 2.7% on average.