Application on Electronic Chart Data Management based on Data Mining Technology

Haoran Song 국제이네비해양경제학회 2020 International Journal of e-Navigation and Maritime Vol.14 No.1

After decades of vigorous development, data mining technology has achieved fruitful theoretical and application results. As a highly applicable subject, data mining technology has penetrated into various fields of the national economy, and has aroused great attention from academia and industry. A large amount of chart data is stored in the electronic chart database, and its application is very extensive, providing a valuable decision basis for managers in all walks of life. It is of great significance to establish a complete data management mechanism based on data mining technology. The traditional data analogy extraction technology, because of the data association index and the poor ability of data association, leads to the difference between the extraction data and the target data. Therefore, the application of data mining technology on electronic chart data management is studied. Data mining technology uses rough set to obtain the basic information of electronic chart data management according to similarity function, mining electronic chart data management association rules; through the comprehensive evaluanon data system of electronic chart data management, building rule base, setting up the evaluation index of electronic chart data management, achieving the similarity evaluation of the mining results. Experimental test results: compared with the traditional data analogy extraction technology, the results obtained by data mining technology have higher similarity with the target data and meet the requirements of electronic chart data management acquisition. It can be seen that this technology is more suitable for the application of electronic chart data management

Oxygen tank for synergistic hypoxia relief to enhance mitochondria-targeted photodynamic therapy

Xianghui Li,Haoran Wang,Zhiyan Li,Dandan Li,Xiaofeng Lu,Shichao Ai,Yuxiang Dong,Song Liu,Jinhui Wu,Wenxian Guan 한국생체재료학회 2022 생체재료학회지 Vol.26 No.4

Background: Mitochondria play an essential role in cellular redox homeostasis maintenance and meanwhile serve as an important target for organelle targeted therapy. Photodynamic therapy (PDT) is a promising strategy for organelle targeted therapy with noninvasive nature and highly spatiotemporal selectivity. However, the efficacy of PDT is not fully achieved due to tumor hypoxia. Moreover, aerobic respiration constantly consumes oxygen and leads to a lower oxygen concentration in mitochondria, which continuously limited the therapeutic effects of PDT. The lack of organelle specific oxygen delivery method remains a main challenge. Methods: Herein, an Oxygen Tank is developed to achieve the organelle targeted synergistic hypoxia reversal strategy, which not only act as an oxygen storage tank to open sources and reduce expenditure, but also coated with red blood cell membrane like the tank with stealth coating. Within the oxygen tank, a mitochondrion targeted photosensitizer (IR780) and a mitochondria respiration inhibitor (atovaquone, ATO) are co-loaded in the RBC membrane (RBCm) coated perfluorocarbon (PFC) liposome core. Results: Inside these bio-mimic nanoparticles, ATO effectively inhibits mitochondrial respiration and economized endogenous oxygen consumption, while PFC supplied high-capacity exogenous oxygen. These Oxygen modulators reverse the hypoxia status in vitro and in vivo, and exhibited a superior anti-tumor activity by mitochondria targeted PDT via IR780. Ultimately, the anti-tumor effects towards gastric cancer and colon cancer are elicited in vivo. Conclusions: This oxygen tank both increases exogeneous oxygen supply and decreases endogenous oxygen consumption, may offer a novel solution for organelle targeted therapies.

Effective Interfacial Trap Passivation with Organic Dye Molecule to Enhance Efficiency and Light Soaking Stability in Polymer Solar Cells

Shafket Rasool,Haoran Zhou,Doan Van Vu,Muhammad Haris,Chang Eun Song,Hwan Kyu Kim,Won Suk Shin 한국태양광발전학회 2021 Current Photovoltaic Research Vol.9 No.4

Light soaking (LS) stability in polymer solar cells (PSCs) has always been a challenge to achieve due to unstable photoactive layer-electrode interface. Especially, the electron transport layer (ETL) and photoactive layer interface limits the LS stability of PSCs. Herein, we have modified the most commonly used and robust zinc oxide (ZnO) ETL-interface using an organic dye molecule and a co-adsorbent. Power conversion efficiencies have been slightly improved but when these PSCs were subjected to long term LS stability chamber, equipped with heat and humidity (45°C and 85% relative humidity), an outstanding stability in the case of ZnO/dye+co-adsorbent ETL containing devices have been achieved. The enhanced LS stability occurred due to the suppressed interfacial defects and robust contact between the ZnO and photoactive layer. Current density as well as fill factors have been retained after LS with the modified ETL as compared to un-modified ETL, owing to their higher charge collection efficiencies which originated from higher electron mobilities. Moreover, the existence of less traps (as observed from light intensity-open circuit voltage measurements and dark currents at -2V) are also found to be one of the reasons for enhanced LS stability in the current study. We conclude that the mitigation ETL-surface traps using an organic dye with a co-adsorbent is an effective and robust approach to enhance the LS stability in PSCs.

High‑Efficiency Inhibition of Gravity Segregation in Al–Bi Immiscible Alloys by Adding Lanthanum

Peng Jia,Jinyang Zhang,Haoran Geng,Xinying Teng,Degang Zhao,Zhongxi Yang,Yi Wang,Song Hu,Jun Xiang,Xun Hu 대한금속·재료학회 2018 METALS AND MATERIALS International Vol.24 No.6

The inhibition of gravity segregation has been a long-standing challenge in fabrication and applications of homogeneousimmiscible alloys. Therefore, the effect of rare-earth La on the gravity segregation of Al–Bi immiscible alloys was investigatedto understand the homogenization mechanism. The results showed that the addition of La can completely suppress thegravity segregation. This is attributed to the nucleation of Bi-rich liquid phase on the in-situ produced LaBi2phase and thechange of the shape of LaBi2@Bi droplets. In addition, a novel strategy is developed to prepare the homogeneous immisciblealloys through the addition of rare-earth elements. This strategy not only is applicable to other immiscible alloys, but alsois conducive to finding more elements to suppress the gravity segregation. This study provided a useful reference for thefabrication of the homogeneous immiscible alloys.

State trend prediction of hydropower units under different working conditions based on parameter adaptive support vector regression machine modeling

Guo Zhao,Shulin Li,Wanqing Zuo,Haoran Song,Heping Zhu,Wenjie Hu 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.9

To address the problem where the different operating conditions of hydropower units have a large influence on the parameters of the trend prediction model of the operating condition indicators, a support vector regression machine prediction model based on parameter adaptation is proposed in this paper. First, the Aquila optimizer (AO) is improved, and a sine chaotic map is introduced to influence the population initialization process. An improved adaptive weight factor is used to balance the local search and global search capabilities. Second, according to the power and the head, the operating conditions of the unit are refined into several typical sets of operating conditions. On this basis, an SVR model is established using the improved AO search algorithm proposed in this paper, and the prediction parameters under each of the operating condition are optimized to establish the data of the operating conditions and optimal parameters. Then a neural network is used to fit the working condition and the optimal prediction parameters. In addition, the nonlinear function mapping of the complex relationship between the two is constructed. Finally, the constructed mapping relationship is added to the traditional SVR, and an adaptive SVR prediction model suitable for changes in the working conditions of hydropower units is realized. Simulation results show that when compared to the traditional SVR prediction model, the adaptive SVR prediction model designed in this paper can automatically adjust the prediction parameters according to changes in the working conditions and achieve the goal of maintaining optimal prediction performance under different working conditions. In addition, it has the ability to accurately predict the development trend of the unit operating state index within a certain time scale.

Computational design towards energy efficient optimization in overconstrained robotic limbs

Gu Yuping,Wang Ziqian,Feng Shihao,Sun Haoran,Lu Haibo,Pan Jia,Wan Fang,Song Chaoyang 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.5

Legged robots are constantly evolving, and energy efficiency is a major driving factor in their design. However, combining mechanism efficiency and trajectory planning can be challenging. This work proposes a computational optimization framework for optimizing leg design during basic walking while maximizing energy efficiency. We generalize the robotic limb design as a four-bar linkage-based design pool and optimize the leg using an evolutionary algorithm. The leg configuration and design parameters are optimized based on user-defined objective functions. Our framework was validated by comparing it to measured data on our prototype quadruped robot for forward trotting. The Bennett robotic leg was advantageous for omni-directional locomotion with enhanced energy efficiency.

Ethanol Induces Autophagy Regulated by Mitochondrial ROS in Saccharomyces cerevisiae

( Hongjuan Jing ),( Huanhuan Liu ),( Lu Zhang ),( Jie Gao ),( Haoran Song ),( Xiaorong Tan ) 한국미생물 · 생명공학회 2018 Journal of microbiology and biotechnology Vol.28 No.12

Ethanol accumulation inhibited the growth of Saccharomyces cerevisiae during wine fermentation. Autophagy and the release of reactive oxygen species (ROS) were also induced under ethanol stress. However, the relation between autophagy and ethanol stress was still unclear. In this study, expression of the autophagy genes ATG1 and ATG8 and the production of ROS under ethanol treatment in yeast were measured. The results showed that ethanol stress very significantly induced expression of the ATG1 and ATG8 genes and the production of hydrogen peroxide (H₂O₂) and superoxide anion (O₂ ^·-). Moreover, the atg1 and atg8 mutants aggregated more H₂O₂ and O₂ ^·- than the wild-type yeast. In addition, inhibitors of the ROS scavenging enzyme induced expression of the ATG1 and ATG8 genes by increasing the levels of H₂O₂ and O₂ ^·-. In contrast, glutathione (GSH) and N-acetylcystine (NAC) decreased ATG1 and ATG8 expression by reducing H₂O₂ and O₂ ^·- production. Rapamycin and 3-methyladenine also caused an obvious change in autophagy levels and simultaneously altered the release of H₂O₂ and O₂ ^·-. Finally, inhibitors of the mitochondrial electron transport chain (mtETC) increased the production of H₂O₂ and O₂ ^·- and also promoted expression levels of the ATG1 and ATG8 genes. In conclusion, ethanol stress induced autophagy which was regulated by H₂O₂ and O₂ ^·- derived from mtETC, and in turn, the autophagy contributed to the elimination H₂O₂ and O₂ ^·-.