Jianlei Kong received the B.E. degree in industrial automation, the master’s degree in control theory engineering, and the Ph.D. degree in forestry engineering from Beijing Forestry University, China, in 2011, 2013, and 2016. He is currently an Associate Professor of system science with Beijing Technology and Business University. He has published a number of invention patents, software copyrights, and academic papers, including eight ESI hot papers (Top 0.1%) and 16 ESI highly cited papers (Top 1%). His research interests include time-series prediction, pattern recognition, deep learning, and blockchain traceability.
This paper explores factors influencing consumer satisfaction in automotive spare parts e-commerce through text mining and sentiment analysis of Taobao reviews. By applying TF-IDF (Term Frequency-Inverse Document Frequency), semantic network analysis, and LDA (Latent Dirichlet Allocation) topic modeling, four core themes are identified: Logistics, Quality, Price, and Customer Service. A domain-specific sentiment lexicon constructed via the SO-PMI method reveals that positive reviews predominantly emphasize product reliability and logistics efficiency, while negative feedback focuses on installation complexity and inconsistent specifications. Based on these findings, targeted recommendations... More >
This paper focuses on the needs of automation professional talent cultivation in the context of the construction of new engineering disciplines, and takes the course “Freshman Engineering Experience” as the research object, and carries out a systematic exploration of teaching reform in response to the problems of insufficient professional cognition and disconnection between theory and practice that exist in the current engineering education. By restructuring the curriculum system, innovating teaching methods and optimizing the practice platform, a progressive cultivation mode of “Cognition-Practice-Innovation” has been constructed. In curriculum design, the combination of professiona... More >
With the progressive advancement of remote sensing image technology, its application in the agricultural domain is becoming increasingly prevalent. Both cultivation and transportation processes can greatly benefit from utilizing remote sensing images to ensure adequate food supply. However, such images often exist in harsh environments with many gaps and dense distribution, which poses major challenges to traditional target detection methods. The frequent missed detections and inaccurate bounding boxes severely constrain the further analysis and application of remote sensing images within the agricultural sector. This study presents an enhanced version of the YOLO algorithm, specifically tai... More >
Frontiers in Educational Innovation and Research (FEIR) journal marks a significant milestone in educational change and development, particularly in the context of digital transformation and technology’s pervasive impact on daily life. FEIR is dedicated to fostering a community of scholarly inquiry and innovation within the educational sector. The journal focuses on pioneering research and innovative practices that have the potential to enhance educational outcomes and experiences. By addressing challenges such as personalized learning, educational technology integration, lifelong learning, and accommodating diverse student needs, FEIR aims to provide a diverse platform for expert insight... More >
The main goal of this study is to design and develop a half-bridge inverter architecture specifically for high-voltage power supply applications. An effective, small, and affordable system that converts direct current (DC) to alternating current(AC) can be built, thanks to the IR2151 chip’s dependable characteristics and performance. To get the desired output voltage, the transformer first increases the voltage and then the voltage is increased with a voltage-doubling rectifier (VDR) circuit. The study emphasizes how crucial it is to choose components carefully and simulate the circuit design and implementation process to guarantee dependable performance. The experimental results validate... More >
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