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Authors: Li, Li

Article Type: Research Article

Abstract: There exist a large number of complex models and methods for judging the size, cost and plan of information system events. However, the ability to accurately forecast the cost of cloud computing information system for Adaptive events is still uncertain. The most suitable cloud computing information system cost judgment in an Adaptive development environment is a big problem because of various user demand and different capabilities. Also, the need to develop an individual model to estimate cloud computing event is rising. In this research paper, we present Adaptive STAR, a method to model information system cost judgment process which will …evaluate effort and cost of information system development for cloud computing events, thereby satisfying multi-standard by making use of Project Management model, a famous classic Algorithmic technique. Most importantly, the paper distinguishes the difference between classic and cloud computing events. The proposed judgment model strengthens the level of features in the planning stages. Show more

Keywords: Adaptive information system, project management, affirm, cloud computing

DOI: 10.3233/JCM-150534

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 15, no. 2, pp. 213-220, 2015

Authors: Li, Li

Article Type: Research Article

Abstract: We consider a time-independent variable coefficients fractional porous medium equation and formulate an associated inverse problem. We determine both the conductivity and the absorption coefficient from exterior partial measurements of the Dirichlet-to-Neumann map. Our approach relies on a time-integral transform technique as well as the unique continuation property of the fractional operator.

Keywords: Inverse problem, fractional porous medium equation, unique continuation property

DOI: 10.3233/ASY-221781

Citation: Asymptotic Analysis, vol. 131, no. 3-4, pp. 583-594, 2023

Authors: Li, Li

Article Type: Research Article

Abstract: The employment situation of fresh college graduates is affected by many factors. In this paper, on the basis of decision tree, the C4.5 method was used to analyze the employment factors of fresh college graduates. An improved C4.5 model was designed by simplifying the calculation formula of the C4.5 method and combining the error tolerance. Experiments were performed on the actual data of fresh college graduates. The results found that the practice level had a great impact on the employment of fresh college graduates, so the training of the practice level should be focused on before graduation. The results of …the prediction models showed that the improved C4.5 method had a smaller training error than ID3 and C4.5 methods, a significantly higher prediction accuracy (88.39%), higher precision, recall rate, and F1 value, and a shorter running time (1.642 s); the improved model remained a high accuracy even when the data volume increased. The experimental results verify the reliability of the improved C4.5 model in predicting the employment situation of fresh college graduates. The model can be applied in actual employment guidance. Show more

Keywords: Fresh graduates, employment, decision tree, error tolerance, practice level

DOI: 10.3233/JCM-226951

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3209-3218, 2023

Authors: Li, Li

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433 .

DOI: 10.3233/JIFS-224126

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6151-6161, 2023

Authors: Wei, Pengcheng | Li, Li

Article Type: Research Article

Abstract: How to recommend learning resources to users accurately to meet the individual needs of users becomes the key issue with the increasing number of online education users. A personalized recommendation system was proposed in this paper based on user preference behavior data analysis to analyze the online education recommendation model. It determines the criteria set of the recommendation system with the product attribute mining method, and then uses the personalized recommendation algorithm for user preference modeling to explore the user’s preference for each criterion, thereby producing more accurate recommendations. The simulation results of the algorithm proposed in this paper show …that the multi-criteria recommendation algorithm using user distance similarity works best. Using this personalized recommendation algorithm based on user preference can effectively improve the recommendation quality. Show more

Keywords: User behavior, data analysis, online education

DOI: 10.3233/JIFS-179307

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4725-4733, 2019

Authors: Wang, Yong-Hai | Li, Li

Article Type: Research Article

Abstract: In this paper, motivated by the Einstein operations and Bonferroni mean, we investigate the multiple attribute decision making problems for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Then, we propose the hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator. Then, we have utilized the HFLEBM operator to develop an approach for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Finally, a practical example for evaluating the Enterprise risk is given.

Keywords: Multiple attribute decision making, hesitant fuzzy linguistic sets, hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator, hesitant fuzzy linguistic weighted Einstein Bonferroni mean (HFLWEBM) operator, enterprise risk

DOI: 10.3233/IFS-151860

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1531-1536, 2016

Authors: Han, Ai-Ping | Li, Li

Article Type: Research Article

Abstract: The new heterocyclic compound 4-methyl-3-((4-(pyridin-3-yl) pyrimidin-2-yl) amino) benzoic acid (1 ) designed utilizing methyl 3-amino-4-methylbenzoate (2 ) as a starting material was successfully fabricated and eventually characterized utilizing single crystal X-ray crystallography, 1 H NMR and IR. In biological study, to evaluate the protective effect of compound on acute tracheobronchitis ICR mice model, the ELISA assay was performed to determine the level of inflammatory mediators IL-6 and TNF-α in serum. Then, the western blot was performed to determine the activation of PKA-NF-κ B pathway in tissues.

Keywords: Heterocycle, X-ray, tracheobronchitis, inflammatory

DOI: 10.3233/MGC-210006

Citation: Main Group Chemistry, vol. 20, no. 1, pp. 41-48, 2021

Authors: Li, Li | Wang, Renxiang | Li, Xican

Article Type: Research Article

Abstract: Aiming to improve the algorithm of the classic fuzzy C-means model (FCM), a double fuzzy C-means model (DFCM) was presented in this paper. A new fuzzy cluster validity index (RWW ) and the DFCM algorithm were proposed, simultaneously. Then, the double fuzzy C-means model was applied for the clustering analysis of the regional technology innovation level in China. The validity of the double fuzzy C-means model was tested using the wine data set of UCI. The comparison results of different cluster validity indexes validated the fuzzy cluster validity index (RWW ) proposed in this paper. The application example and wine …data set clustering results indicated that the DFCM model enhanced the intra-class compactness and inter-class separation, making the classification more accurate. Show more

Keywords: Double fuzzy C-means model, category membership, cluster validity index, technology innovation level

DOI: 10.3233/JIFS-169172

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 2895-2901, 2016

Authors: Jianjun, Wang | Li, Li | Ding, Liu

Article Type: Research Article

Abstract: Long-term load forecasting is an important issue for a country’s power suppliers to determine the future electric system plan, investment and operation. This paper presents a novel hybrid long-term forecasting method with support vector regression(SVR) and backtracking search algorithm(BSA) optimization algorithm, which is used to obtain the parameters of the SVR. The practical case of China’s annual electricity demand is used to evaluate the effectiveness of the proposed method. According to the results, the performance of the proposed method is better than the SVR model with default parameters, back propagation artificial neural network (BPNN) and regression forecasting models in annual …load forecasting. Show more

Keywords: Long-term load forecasting, support vector regression (SVR), backtracking search algorithm

DOI: 10.3233/JIFS-169075

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2341-2347, 2016

Authors: HU, Yong-you | WANG, Li-li

Article Type: Research Article

Abstract: The optimum media height of carbon oxidation and nitrification in a down-flow biological aerated filter was determined, and the distribution of the heterotrophic and nitrifying populations through studying the changes of organic carbon contents and ammonia concentration at different media height was got. The results showed that as a down flow BAF with granular media, the active layer of nitrifiers was deeper than heterotrophs in BAF. And the optimum media height for the removal of SS, COD_{Cr} and NH_4^+ -N was 40 cm, 60 cm and 80 cm respectively. The removal efficiency of SS, COD_{Cr} and NH_4^+ -N was 79.1%, …63.9% and 96.4% respectively under the influent COD_{Cr} and NH_4^+ -N of 122.1 mgCOD_{Cr} /L and 14.84 mgNH_4^+ -N/L, the influent flux of 15.8 L/h, air to liquid ratio of 3: 1. Show more

Keywords: biological aerated filter, bed material height, sewage treatment

Citation: Journal of Environmental Sciences, vol. 17, no. 2, pp. 281-284, 2005