Applications of a Deep Neural Network to Illustration Art Style Design of City Architectural

( Yue Wang ),( Jia-wei Zhao ),( Ming-yue Zheng ),( Ming-yu Li ),( Xue Sun ),( Hao Liu ),( Zhen Liu ) 한국정보처리학회 2024 Journal of information processing systems Vol.20 No.1

With the continuous advancement of computer technology, deep learning models have emerged as innovative tools in shaping various aspects of architectural design. Recognizing the distinctive perspective of children, which differs significantly from that of adults, this paper contends that conventional standards may not always be the most suitable approach in designing urban structures tailored for children. The primary objective of this study is to leverage neural style networks within the design process, specifically adopting the artistic viewpoint found in children's illustrations. By combining the aesthetic paradigm of urban architecture with inspiration drawn from children's aesthetic preferences, the aim is to unearth more creative and subversive aesthetics that challenge traditional norms. The selected context for exploration is the landmark buildings in Qingdao City, Shandong Province, China. Employing the neural style network, the study uses architectural elements of the chosen buildings as content images while preserving their inherent characteristics. The process involves artistic stylization inspired by classic children's illustrations and images from children's picture books. Acting as a conduit for deep learning technology, the research delves into the prospect of seamlessly integrating architectural design styles with the imaginative world of children's illustrations. The outcomes aim to provide fresh perspectives and effective support for the artistic design of contemporary urban buildings.

Preparation of bulk anisotropic nanocrystalline RCo<SUB>5</SUB> (R=Sm, Pr) permanent magnets

Ming Yue 한국자기학회 2016 한국자기학회 학술연구발표회 논문개요집 Vol.2016 No.05

An Efficient Model Predictive Control for Trajectory Tracking of Wheeled Inverted Pendulum Vehicles with Various Physical Constraints

Ming Yue,Cong An,Jian-zhong Sun 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.1

This study presents a robust model predictive control (MPC) strategy to handle the trajectory tracking problem for a underactuated two-wheeled inverted pendulum (WIP) vehicle, in addition to taking various physical constraints into account. To begin with, a saturated trajectory generator is proposed to produce the desired velocities by which all posture tracking errors converge to the compact sets as well as the saturation of velocities being guaranteed. In addition, a MPC approach is put up forward after the approximate feedback linearization is performed to decrease the burden of computation and increase the realtime performance of the control system. Particularly, various physical constraints can be readily assured by the presented MPC method although the equilibrium of WIP vehicle is unstable. Meanwhile, to validate the robustness and availability of the proposed approach, initial errors, pulse disturbance and random noise are introduced to test the control performance of the closed-loop system in the simulation environment. The results from both theoretical analysis and simulation show that the proposed control strategy are effective and feasible for practical implementation.

m6A Methyltransferase METTL3 Reduces Hippocampal Neuron Apoptosis in a Mouse Model of Autism Through the MALAT1/SFRP2/Wnt/β-catenin Axis

Ming Yue,Deng Zhihui,Tian Xianhua,Jia Yuerong,Ning Meng,Cheng Shuhua 대한신경정신의학회 2022 PSYCHIATRY INVESTIGATION Vol.19 No.10

Objective Hippocampal neuron apoptosis contributes to autism, while METTL3 has been documented to possess great potentials in neuron apoptosis. Our study probed into the role of METTL3 in neuron apoptosis in autism and to determine the underlying mechanism.Methods Bioinformatics analysis was used to analyze expressed genes in autism samples. Institute of Cancer Research mice were treated with valproic acid to develop autism models. The function of METTL3 in autism-like symptoms in mice was analyzed with behavioral tests and histological examination of their hippocampal tissues. Primary mouse hippocampal neurons were extracted for in vitro studies. Downstream factors of METTL3 were explored and validated.Results METTL3, MALAT1, and Wnt/β-catenin signaling were downregulated, while SFRP2 was upregulated in the hippocampal tissues of a mouse model of autism. METTL3 stabilized MALAT1 expression by promoting m6A modification of MALAT1. MALAT1 promoted SFRP2 methylation and led to reduced SFRP2 expression by recruiting DNMT1, DNMT3A, and DNMT3B to the promoter region of SFRP2. Furthermore, SFRP2 facilitated activation of the Wnt/β-catenin signaling. By this mechanism, METTL3 suppressed autism-like symptoms and hippocampal neuron apoptosis.Conclusion This research suggests that METTL3 can reduce autism-like symptoms and hippocampal neuron apoptosis by regulating the MALAT1/SFRP2/Wnt/β-catenin axis.

Effects of New Bamboo Salt on Hypertension in Dahl Salt-sensitive Rats

Ming-Yue Wu,Do-Young Hwang,Se-Hee Jeong,Sun-Young Park,Jeong-Yong Cho,Kyung-Sik Ham 한국식품영양과학회 2013 한국식품영양과학회 학술대회발표집 Vol.2013 No.11

Quintic Polynomial-based Obstacle Avoidance Trajectory Planning and Tracking Control Framework for Tractor-trailer System

Ming Yue,Xiangmin Wu,Lie Guo,Junjie Gao 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.10

In this paper, a dynamic automatic obstacle avoidance trajectory planning and tracking control framework is proposed for tractor-trailer system. Tractor-trailer is a special class of multibody and nonholonomic system, whose backward and forward operations have difference kinetic mechanisms. Because the obstacle avoidance behaviors are concerned with the two motion modes, the kinematic models including backward and forward movements are firstly derived. Secondly, a time-based quintic polynomial function is developed to plan two kinds of dynamic obstacle avoidance trajectories based on dynamics constraints and the information from on board sensors, so as to minimize the collision risk. Thirdly, a model predictive control (MPC)-based posture controller is designed, by which better tracking performance can be achieved for both forward and backward obstacle avoidance maneuvers. Lastly, the simulation results validate the effectiveness of the proposed dynamic obstacle avoidance framework and the designed methods.

A Power Allocation Algorithm Based on Variational Inequality Problem for Cognitive Radio Networks

( Ming-yue Zhou ),( Xiao-hui Zhao ) 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.2

Power allocation is an important factor for cognitive radio networks to achieve higher communication capacity and faster equilibrium. This paper considers power allocation problem to each cognitive user to maximize capacity of the cognitive systems subject to the constraints on the total power of each cognitive user and the interference levels of the primary user. Since this power control problem can be formulated as a mixed-integer nonlinear programming (NP) equivalent to variational inequality (VI) problem in convex polyhedron which can be transformed into complementary problem (CP), we utilize modified projection method to solve this CP problem instead of finding NP solution and give a power control allocation algorithm with a subcarrier allocation scheme. Simulation results show that the proposed algorithm performs well and effectively reduces the system power consumption with almost maximum capacity while achieve Nash equilibrium.

중국 여행 플랫폼의 지속적 사용의도에 관한 연구: 확장된 기술수용모델의 적용

Ming-Yue Pan,최판호,전재균 사단법인 한국융합기술연구학회 2023 아시아태평양융합연구교류논문지 Vol.9 No.8

Recently, travel platform companies are growing by combining advanced ICT technology with the travel industry. The growth of these companies reflects consumers’ high interest in the platform. It will be necessary to understand the consumer’s acceptance process for new technologies such as platform. This study aimed to study variables that affect consumers' continuous intention to use Xiaohongshu, a Chinese travel platform company. To this end, the ETAM(extended technology acceptance model) was applied to identify the structural relationship between variables that affect the intention to continue use. The survey method was collected through a convenience sampling method through a Chinese online survey company in consideration of the COVID-19 situation. An online survey was conducted on Chinese consumers who had experience using the Xiaohongshu service, and a total of 334 questionnaires were collected. As a result of empirical analysis, first, the user's personal innovation had a significant positive effect on perceived ease of use, perceived usefulness, and perceived enjoyment. Second, perceived ease of use had a significant positive effect on perceived usefulness and perceived enjoyment. Third, perceived ease of use, perceived usefulness, and perceived enjoyment were all found to have a positive effect on continuous use intention. Finally, based on the analysis results, this study aims to present implications that can improve the intention to use of travel platforms. 오늘날 첨단 ICT 기술이 관광산업과 접목하여 여행 플랫폼 기업들이 성장하고 있다. 이러한 기업의 성장에는 플랫폼에 대한 소비자의 높은 관심을 반영한다. 플랫폼과 같은 신기술에 대한 소비자의 수용과정을 이해하는 것이 필요할 것이다. 이를 위해 중국판 인스타그램인 샤오홍슈를 대상으로 소비자의 지속적인 사용의도에 영향을 미치는 변인들을 연구하고자 한다. 이를 위해 확장된 기술수용모델을 적용하여 지속적 사용의도에 영향을 주는 변인들 간의 영향관계를 파악하였다. 자료수집은 COVID-19 상황을 감안하여 중국 온라인 설문 업체를 통해서 2022년 9월 1일부터 9월 12일까지 진행되었다. 다만 연구목적에 맞게 샤오홍슈 서비스 사용한 경험이 있는 중국 소비자들을 대상으로 연구자가 임의로 선정한 편의표본추출법으로 총 334부의 설문지를 수집하였다. 실증분석 결과, 첫째, 사용자의 개인 혁신성은 지각된 용이성, 지각된 유용성, 지각된 즐거움에 유의한 정(+)의 영향을 미쳤다. 둘째, 지각된 용이성은 지각된 유용성과 지각된 즐거움에 유의한 정(+)의 영향을 미쳤다. 셋째, 지각된 용이성, 지각된 유용성, 지각된 즐거움은 지속적 사용의도에 유의한 정(+)의 영향을 미쳤다. 마지막으로 분석결과를 기초로 여행 플랫폼의 지속적 사용의도를 향상할 수 있는 시사점을 제시하고자 한다.

ON GENERALIZATIONS OF SELF-INJECTIVE AND STRONGLY REGULAR RINGS

Ming, Roger Yue Chi Department of Mathematics 1986 Kyungpook mathematical journal Vol.26 No.2

ON REGULAR AND CONTINUOUS RINGS II

Ming, Roger Yue Chi Department of Mathematics 1981 Kyungpook mathematical journal Vol.21 No.2