Yingzi Li

Sichuan Agricultural University

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Shuo Zhang

State Grid Corporation of China (China)

Zhiqiong Li

Sichuan Agricultural University

Ni Tang

Sichuan Academy of Agricultural Sciences

Shupeng Zhang

Fifth Tianjin Central Hospital

Qin Kang

Institute of Zoology

Shu‐Huang Chen

Sichuan Agricultural University

Jincang Niu

PowerChina (China)

Yanling Liu

South China Agricultural University

Qin Yao

Sichuan Agricultural University

Xin Zhang

China International Science and Technology Cooperation

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Sichuan Agricultural University

North China Electric Power University

Chinese Academy of Sciences

Harbin Institute of Technology

Sun Yat-sen University

Ministry of Agriculture and Rural Affairs

Washington State University

Huazhong University of Science and Technology

Sichuan University

Peking University

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面向城市热点区域的不平衡数据聚类挖掘研究 (Study on Clustering Mining of Imbalanced Data Fusion Towards Urban Hotspots).

计算机科学 (2019)

Li Cai Yingzi Li Fang Jiang Yu Liang

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Modeling and Simulation Study of Designer’s Bidirectional Behavior of Task Selection in Open Source Design Process

Mathematical Problems in Engineering (2017)

Shuo Zhang Yingzi Li

Open source design (OSD) is an emerging mode of product design. In OSD process, how to select right tasks directly influences the efficiency and quality of task completion, hence impacting the whole evolution process of OSD. In this paper, designer’s bidirectional behavior of task selection integrating passive selection based on website recommendation and autonomous selection is modeled. First, the model of passive selection behavior by website recommendation is proposed with application of collaborative filtering algorithm, based on a three‐dimensional matrix including information of design agents, tasks, and skills; second, the model of autonomous selection behavior is described in consideration of factors such as skill and incentive; third, the model of bidirectional selection behavior is described integrating the aforementioned two selection algorithms. At last, contrast simulation analysis of bidirectional selection, passive selection based on website recommendation, and autonomous selection is proposed with ANOVA, and results show that task selection behavior has significant effect on OSD evolution process and that bidirectional selection behavior is more effective to shorten evolution cycle according to the experiment settings. In addition, the simulation study testifies the model of bidirectional selection by describing the task selection process of OSD in microperspective.

Design process

10.1155/2017/6738139

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Task scheduling behaviour in agent-based product development process simulation

International Journal of Computer Integrated Manufacturing (2011)

Xiaodong Zhang Shuo Zhang Yingzi Li Christopher Schlick

Abstract In order to model the designer's autonomous task scheduling behaviour and use it in an agent-based product development process simulation, in this article a utility function is constructed, in which task urgency, task importance, agent individual preference and recovery cost are considered. Algorithms to calculate the utility function are developed and verified in detail. To validate and evaluate the scheduling behaviour based on utility functions in agent-based simulation, comparative simulation experiments are carried out on the basis of a case study in the Chinese industry. Simulation results show that the agent's behaviour in the development process simulation is close to the real working process of designers. In the comparative case study, the scheduling behaviour considering both task urgency and task importance can significantly shorten project lead time compared with considering task urgency only. It can also save time for the whole project if the agent assigns collaborative tasks high priority. The developed model and simulation approach can help organisations to identify efficient and effective scheduling behaviours in collaborative and complex product development processes. Keywords: task schedulingproduct developmentagent-based simulation Acknowledgements This contribution is based upon the research work supported by the National Natural Science Foundation of China No. 70971146 and the Program for New Century Excellent Talents in University China (NCET-08-0608). The supports are greatly acknowledged.

Task Analysis

10.1080/0951192x.2011.596223

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Acyl-CoA binding protein (ACBP) in Siberian sturgeon (Acipenser baerii Brandt): Characterization, synthesis and orexigenic function

International Journal of Biological Macromolecules (2025)

Qin Kang Yuru Wu Kezhen Jiang Qin Yao Jiamei Li

10.1016/j.ijbiomac.2025.141280

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Power structure optimization for grid-connected photovoltaic system based on Markov decision processes

Yingzi Li Luan Ru Jincang Niu

Power structure optimization is to determine the planning time, the type and the capacity of power supply, thus the best way to meet the load demand for development. With the help of Markov decision-making process (MDP), it has been established based on the grid-connected PV system generation. Using the optimal strategy of MDP, one step transition probability matrix and the expected total reward criterion have been obtained. According to weather conditions, PV generation was distributed to load, grid power and batteries. The example result shows that the expected total reward criterion of MDP applying to grid-connected photovoltaic system is more powerful.

10.1109/iciea.2010.5517032

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A novel two-stage optimal layout model of hydrogen refueling facility network based on green electricity hydrogen production: Beijing-Tianjin-Hebei region of China as case study

Renewable Energy (2024)

Shuo Zhang Zihan Geng Yingzi Li Xinxin Li Li Chen

10.1016/j.renene.2024.121597

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Web Design for Emotion Tracking in Individuals with Major Depressive Disorder

Highlights in Science Engineering and Technology (2024)

Yingzi Li

Major Depressive Disorder (MDD), classified as an affective disorder, has been observing an escalating incidence annually. Despite the growing focus on MDD, there remains a paucity of research dedicated to emotion-tracking software tailored for MDD patients. While a plethora of emotion-tracking applications exists, none can concurrently document emotions and facilitate psychological interventions. This manuscript delineates a web application that amalgamates emotion documentation, analytical procedures, and psychological counseling tailored for MDD patients. The discourse encompasses three pivotal facets: the implications and intricacies of UI design, the functional blueprint, and the actualization of functionalities. The UI design is elucidated from both visual and interactive dimensions, and the functional architecture is broached from the perspectives of both patients and clinicians. Employing the React framework, the application adopts the MVVM architectural pattern, integrates a distributed database system, and endorses interfaces for advanced algorithmic extensions, proffering a streamlined online modality for emotional alleviation and therapeutic interventions for MDD patients.

10.54097/x4f8vx42

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A green-fitting dispatching model of station cluster for battery swapping under charging-discharging mode

Energy (2023)

Shuo Zhang Xinxin Li Yingzi Li Yi-Dan Zheng Jie Liu

Charging station

Taxis

Mode (computer interface)

10.1016/j.energy.2023.127600

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Innovation education and Chinese teaching of normal college

Journal of Shenyang Institute of Engineering (2006)

Yingzi Li

Innovation ability is the highest ability and the most essential quality of human,innovation education is the supreme realm of education and teaching.Innovating teacher is the key to carry out quality education,the final object of quality education is cultivating all-around,active,harminious development and innovating person.

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Chinese education

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Agent-based Partner Selection and Simulation in Collaborative Product Development Process

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (2012)

Yingzi Li Shuo Zhang Xiaodong Zhang Wang Ai-ping

Collaborative Product Development (CPD) process is characterized by autonomous task control, dynamic task sequence, and frequent team collaboration, which endow the process with high flexibility and uncertainty. In the CPD process, designers are the one of the important elements with prominent characteristics of autonomy, collaboration and initiative, the process is knowledge-based simultaneously. Therefore, partner selection is essential problem. Aimed the problem, a multi-agent negotiation-arbitration framework of partner selection is proposed firstly; secondly, partner selection process and rules based on the framework are given; thirdly, 3 optimal strategies for conflict resolution are approached, including suboptimization strategy, waiting strategy and utility strategy; lastly, various contrastive experiments are carried for some CPD process based on the former simulation platform by add new functions. The simulation results show that the selection rules and conflict resolution strategies can shorten project duration on the basis of quantitative analysis; it indicates that the method of agent-based simulation is a valid way to improve the efficiency of process management.

10.4156/aiss.vol4.issue20.71

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Citations (1)