http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Xujie Li (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
Genetic algorithm‐based content distribution strategy for F‐RAN architectures
Xujie Li,Ziya Wang,Ying Sun,Siyuan Zhou,Yanli Xu,Guoping Tan 한국전자통신연구원 2019 ETRI Journal Vol.41 No.3
Fog radio access network (F‐RAN) architectures provide markedly improved performance compared to conventional approaches. In this paper, an efficient genetic algorithm‐based content distribution scheme is proposed that improves the throughput and reduces the transmission delay of a F‐RAN. First, an F‐RAN system model is presented that includes a certain number of randomly distributed fog access points (F‐APs) that cache popular content from cloud and other sources. Second, the problem of efficient content distribution in F‐RANs is described. Third, the details of the proposed optimal genetic algorithm‐based content distribution scheme are presented. Finally, simulation results are presented that show the performance of the proposed algorithm rapidly approaches the optimal throughput. When compared with the performance of existing random and exhaustive algorithms, that of the proposed method is demonstrably superior.
-
Task offloading under deterministic demand for vehicular edge computing
Haotian Li,Xujie Li,Fei Shen Electronics and Telecommunications Research Instit 2023 ETRI Journal Vol.45 No.4
In vehicular edge computing (VEC) networks, the rapid expansion of intelligent transportation and the corresponding enormous numbers of tasks bring stringent requirements on timely task offloading. However, many tasks typically appear within a short period rather than arriving simultaneously, which makes it difficult to realize effective and efficient resource scheduling. In addition, some key information about tasks could be learned due to the regular data collection and uploading processes of sensors, which may contribute to developing effective offloading strategies. Thus, in this paper, we propose a model that considers the deterministic demand of multiple tasks. It is possible to generate effective resource reservations or early preparation decisions in offloading strategies if some feature information of the deterministic demand can be obtained in advance. We formulate our scenario as a 0-1 programming problem to minimize the average delay of tasks and transform it into a convex form. Finally, we proposed an efficient optimal offloading algorithm that uses the interior point method. Simulation results demonstrate that the proposed algorithm has great advantages in optimizing offloading utility.
-
Synthesis by Electrolysis of Iron-Based Fluoride as Cathode Materials for Lithium ion Batteries
Zengzeng Zheng,Jin Shi,Xujie Xiao,Xu Li,Jingkang Chen,Chengfei Zhu 대한금속·재료학회 2024 ELECTRONIC MATERIALS LETTERS Vol.20 No.3
The hydrated iron fl uoride (Fe 3 F 8 ·2H 2 O) with mixed valence cations is successfully synthesized through a rapid electrolyticsynthesis route for the fi rst time using low-concentration HF solution as fl uorine source and cheap carbon steel as iron source. By controlling the value of current density, submicron structured hydrated iron fl uoride with diff erent grain sizes is obtained. The thermal behavior of Fe 3 F 8 ·2H 2 O under air atmosphere is studied. The product cooling to room temperature after heattreatment is FeF 2.2 (OH) 0.8 ·0.33H 2 O, which is determined by X-ray diff raction (XRD), X-ray photoelectron spectra (XPS),Fourier transform infrared spectrometer (FT-IR), and thermogravimetry/diff erential scanning calorimetry (TG/DSC). Theevaluation of the electrochemical performance of FeF 2.2 (OH) 0.8 ·0.33H 2 O as a cathode for lithium batteries shows that it hasan initial discharge capacity as high as 580 mAh g −1 in a wide voltage range of 1.0–4.5 V at a current density of 20 mA g −1 ,but the cycle performance is not very satisfactory, only 170 mAh g −1 after 50 cycles.
-
Ling Zhao,Liang Zhang,Xiaona Shi,Xujie Duan,Huiping Li,Shuying Liu 대한수의학회 2021 Journal of Veterinary Science Vol.22 No.6
Background: Maedi/Visna virus (MVV) is a contagious viral pathogen that causes considerable economic losses to the sheep industry worldwide. Objectives: In China, MVV has been detected in several regions, but its molecular characteristics and genetic variations were not thoroughly investigated. Methods: Therefore, in this study, we conducted next-generation sequencing on an MVV strain obtained from northwest China to reveal its genetic evolution via phylogenetic analysis. Results: A MVV strain obtained from Inner Mongolia (NM) of China was identified. Sequence analysis indicated that its whole-genome length is 9193 bp. Homology comparison of nucleotides between the NM strain and reference strains showed that the sequence homology of gag and env were 77.1%–86.8% and 67.7%–75.5%, respectively. Phylogenetic analysis revealed that the NM strain was closely related to the reference strains isolated from America, which belong to the A2 type. Notably, there were 5 amino acid insertions in variable region 4 and a highly variable motif at the C-terminal of the surface glycoprotein (SU5). Conclusions: The present study is the first to show the whole-genome sequence of an MVV obtained from China. The detailed analyses provide essential information for understanding the genetic characteristics of MVV, and the results enrich the MVV library.
ScienceON
DBpia연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
