Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Applied Data Sciences Harmonia: Journal of Arts Research and Education
Yu, Jie
Unknown Affiliation
Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Elevator Group Scheduling by Improved Dayan Particle Swarm Algorithm in Computer Cloud Computing Environment Yu, Jie; Hu, Bo
Journal of Applied Data Sciences Vol 3, No 2: MAY 2022
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v3i2.60

Abstract

The world is entering the era of cloud computing. Due to the rapid development of computer technology, as the core content of elevator transportation technology, elevator group control dispatching systems and group intelligent algorithms will have a wide range of application prospects due to their significant advantages. The purpose of this paper is to study the elevator group scheduling problem of the improved Dayan particle swarm algorithm in the computer cloud computing environment.This article first summarizes the research status of elevator group control technology and algorithms, and then analyzes and studies the basic theory of cloud computing task scheduling. Combined with the improved Dayan particle swarm algorithm, the elevator prediction model is established. This paper systematically expounds the theory and algorithm principle of the basic particle swarm algorithm, and analyzes the Dayan particle swarm algorithm on this basis. In this paper, the experimental research is carried out by comparing the two algorithms on the simulation software. Research shows that the improved Dayan particle swarm algorithm has better scheduling performance than the traditional basic particle swarm algorithm.
Pedagogical Conditions for the Integration of Digital Technologies into Students’ Art Education Han, Bingjie; Bayalieva, Aisulu; Zhang, Chongyang; Yu, Jie; Karabalaeva, Gulmira
Harmonia: Journal of Arts Research and Education Vol. 26 No. 1 (2026): June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/harmonia.v26i1.24605

Abstract

The study aimed to examine the implementation of digital tools in the artistic education process in China and Kyrgyzstan, determine their impact on the quality of the educational process, and assess their role in shaping students’ creative competencies. The study analyzed educational programs from leading universities in both countries, the digital tools actively used in education, and peer-reviewed scientific sources. The analysis included a review of educational platforms, software, and technologies applied in higher education institutions in China and Kyrgyzstan. A model of optimal pedagogical conditions for integrating digital tools into art education in Kyrgyzstan was developed, which could significantly improve the quality of education and accelerate its development in this field. The findings indicate noticeable differences in how the two countries approach the implementation of digital technologies in art education. In China, selected institutions make broader use of tools such as virtual and augmented reality, AI-based platforms, and online educational platforms that support access to external learning resources. In Kyrgyzstan, digital technology integration is more closely associated with the adoption of accessible tools and the integration of cultural heritage into student projects. Programs such as graphic editors and collaborative platforms support the creation of works reflecting national cultural values, although the overall scale and technological complexity of implementation remain more limited.  
Co-Authors Bayalieva, Aisulu Han, Bingjie Hu, Bo Karabalaeva, Gulmira Zhang, Chongyang