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Research on an Improved Decision Tree Classification Algorithm
Wenyi Xu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12
In the paper, with the introduction of data mining algorithm of the classification in detail, and then combining the classification algorithm and incremental learning technology, an incremental decision tree algorithm is proposed to solve the problem of incremental learning and analysis the experimental data for this algorithm. The paper used ID3 and C4.5 algorithm for detailed research. According to two algorithms, combining Bayesian classification algorithm’s incremental learning characteristic, the paper proposed an incremental decision tree algorithm , and by the analysis of experimental data. This algorithm can solve the incremental learning problem of the decision tree algorithm very well.
TAIWANESE INVESTMENT IN SOUTHEAST ASIA
Wenyi Chu,Kung-Don Ye,Mu-Lan Hsu The Institute of East and West Studies 1999 Global economic review Vol.28 No.1
For the "Go South" policy in Taiwan, small-and medium-sized enterprises played an important role in the 1980s and 1990s. This is an exceptional case as theoretical predictions and empirical evidence, found in most countries, have indicated that foreign direct investment originated mainly from large firms. This paper examines the determinants and investment strategies of Taiwanese FDI in Southeast Asian countries. First, it reviews the evolution and current situations of Taiwan's investment and the economic rationales during the 1980s and 1990s. Then, it identifies three types of investment strategies : defensive investors, initiative investors, and institutional investors, and compares them in terms of their different economic rationales, investment patterns and networking activities.
Isolation of Constituents and Anti-complement Activity from Acer okamotoanum
WenYi Jin,JongPill Lee,Phuong Thien Thuong,이형규,송경식,성연희,배기환,민병선 대한약학회 2007 Archives of Pharmacal Research Vol.30 No.2
A novel acylated sterol glucoside (1) along with four known compounds, β-amyrin acetate (2), 3β,24-dihydroxytaraxer-14-ene (3), cleomiscosin A (4), and cleomiscosin C (5), were isolated from the leaf and twig of Acer okamotoanum Nakai (Aceraceae). The structure of the new compound was determined to be β-sitosterol glucoside-3'-O-hexacosanoicate based on chemical and spectroscopic analyses. In addition, the novel compound was found to exhibit a significant inhibitory effect (IC50 value of 0.2 µM) on the complement system activated by the classical pathway.
Functional Privacy-preserving Outsourcing Scheme with Computation Verifiability in Fog Computing
( Wenyi Tang ),( Bo Qin ),( Yanan Li ),( Qianhong Wu ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.1
Fog computing has become a popular concept in the application of internet of things (IoT). With the superiority in better service providing, the edge cloud has become an attractive solution to IoT networks. The data outsourcing scheme of IoT devices demands privacy protection as well as computation verification since the lightweight devices not only outsource their data but also their computation. Existing solutions mainly deal with the operations over encrypted data, but cannot support the computation verification in the same time. In this paper, we propose a data outsourcing scheme based on an encrypted database system with linear computation as well as efficient query ability, and enhance the interlayer program in the original system with homomorphic message authenticators so that the system could perform computational verifying. The tools we use to construct our scheme have been proven secure and valid. With our scheme, the system could check if the cloud provides the correct service as the system asks. The experiment also shows that our scheme could be as effective as the original version, and the extra load in time is neglectable.
Turnover intention predictors among social workers in China
Wenyi Lin,Mengyuan Deng 한국사회복지학회 2019 Asian Social Work and Policy Review Vol.13 No.1
The purpose of this study was to examine factors that best predict turnover among social workers in nonprofit organizations in Guangzhou, Guangdong Province of China. A sample of 312 social workers was selected to complete a self‐administered anonymous survey in 2014. A multiple logistical regression model was used to explain the different factors that influence social workers’ intention to leave their current jobs. The findings showed that age, education, perceived working condition, the perceived prospect of the social work profession, and social support predict turnover intention among social workers.
Wenyi Tao,Jianghua Li,Long Liu,Jing Wu,Jun Sun,Guocheng Du,Jian Chen 한국화학공학회 2010 Korean Journal of Chemical Engineering Vol.27 No.4
Statistics-based experiment designs were used to optimize the culture medium (glucose, yeast extract, IPTG,tween-60, and CaCl2) for cutinase production by recombinant Escherichia coli. A 25-1 fractional factorial design augmented with center points revealed that glucose, yeast extract, and IPTG were the most significant factors, whereas the other factors were not important within the levels tested. The method of steepest ascent was used to approach the proximity of optimum, followed by a central composite design to develop a response surface for culture condition optimization. The optimum culture medium for cutinase production was found to be: glucose 33. 92 g/L, yeast extract 30.92 g/L,and IPTG 0.76 g/L. A cutinase production of 145.27±1.5 U/mL, which was in agreement with the prediction, was observed in triplicate verification experiments. The results obtained here verified the effectiveness of the applied methodology and may be helpful for cutinase production on an industrial scale.
Wenyi Lu,Jianxia Liu,Bin Wu,Shungen Huang,Jian Wang,Runda Wu,Zhongqi Mao 한국고분자학회 2024 Macromolecular Research Vol.32 No.2
This study used both in vitro and in vivo models to evaluate the efficacy of atractylodin as an anticancer treatment for colorectal cancer. The cytotoxicity of atractylodin on colon cancer cells was assessed using the MTT assay, and atractylodininduced apoptosis was determined using flow cytometry. The expression of cleaved caspase 3 and other apoptotic proteins was examined using Western blotting to determine the mechanism underlying atractylodin's anticancer activity. In addition, the role of PI3K/Akt/mTOR/p70S6K signalling in atractylodin-induced apoptosis in colon cancer cells was analyzed. The study found that atractylodin caused dose-dependent ROS-mediated apoptosis and DNA damage in colon cancer cells and activated caspase 3. Furthermore, atractylodin inhibited the PI3K/Akt/mTOR/p70S6K signalling pathway by targeting PI3Kγ in colon cancer cells. Molecular docking analysis indicated that atractylodin binds to the Akt binding pocket of PI3Kγ. The study also evaluated the antitumour effects of atractylodin on a colon cancer tumour xenograft model and found that it significantly reduced tumour growth and volume by inducing apoptosis. These results suggest that atractylodin has potential as a candidate for the treatment of colorectal cancer, although further research is necessary.
Wenyi Liu,He Ren,Mirza Ali Shaheer,Jahanzeb Aslam Awan 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.1
Aimed at the difficulty in fault diagnosis of wind turbine transmission system under variable working conditions, the paper proposes a novel health condition monitoring method based on correlative features domain adaptation. Firstly, the envelope analysis of the collected signals is carried out, and the time–frequency features of the signals are extracted to construct the feature set. The feature sets under the similar working conditions to target are selected as the auxiliary sample sets in source domain through the transferability evaluation. Then, a transformation matrix is found to adapt the marginal and conditional distributions of wind turbine sample data under different working conditions, and its weight is adjusted. While reducing the discrepancy between domains, the class imbalance problem is taken into consideration, so as to improve the accuracy of fault diagnosis under the target working condition. Finally, the classifier is trained with the adjusted source domain and tested in the target domain. Experiments show that the proposed method can effectively improve the accuracy of wind turbine fault diagnosis.