Timing-Aware Layer Assignment for Advanced Process Technologies Considering via Pillars

Liu, Genggeng; Zhang, Xinghai; Guo, Wenzhong; Huang, Xing; Liu, Wenhao; Chao, Kai-Yuan; Wang, Ting-Chi

doi:10.1109/tcad.2021.3100296

Cited by 32 publications

(12 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the SMS findings, a framework for systematically analyzing and comparing RPA works is derived. e discovered thematic clusters suggest further investigations to develop a more elaborated structural research approach for RPA [22][23][24].…”

Section: Hyperautomationmentioning

confidence: 83%

Automatic Generation of Real-Time Animation Game Learning Levels Based on Artificial Intelligence Assistant

Zhang

2022

Scientific Programming

View full text Add to dashboard Cite

With the development of computer animation games, now many animation games use the automatic generation of animation game levels method to generate animation game content. Using the automatic generation levels of the animation game method can quickly generate many different levels, saving labor costs in manual production. And with the combination of other fields, more accurate results can be obtained. In this paper, the goal is to automatically generate the level of the animation game. This research proposed animation game objects and victory conditions to derive the concept of the clearance path and uses artificial intelligence genetic algorithms to obtain the clearance path that best meets the needs of the developer to recombine new levels. In addition, since the generated levels are regenerated from the clearance path, there are still too many blank areas. In order to make full use of these blank areas, this research provides a level complete system. The system has formulated its placement rules for existing animation game objects. These rules fill in these blank areas and produce a more complete level. The contributions of this search proved that the genetic algorithm can converge quickly due to the correction effect in the mutation. In the complete system, it has successfully achieved a complete and playable level. In the system running time, this research adjusted the method of selecting elites and the use of permutations and combinations to mate, so that the system’s operation can be stabilized on an average value.

show abstract

Section: Hyperautomationmentioning

confidence: 83%

Automatic Generation of Real-Time Animation Game Learning Levels Based on Artificial Intelligence Assistant

Zhang

2022

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…The intention of students’ use behavior was also set as a variable. It was concluded that perceived usefulness, course content, brand image, function, and attractiveness have a positive effect on college students’ acceptance of online courses, and perceived ease of use has a positive effect on college students’ acceptance of online courses ( Liu G. et al, 2020 ; Liu N. et al, 2020 ; Liu et al, 2021 , 2022a , b ).…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Research on the state of blended learning among college students – A mixed-method approach

Deng¹,

Jiao²,

2022

Front. Psychol.

View full text Add to dashboard Cite

In the wake of the COVID-19 pandemic in 2019, China’s education leaders began to focus on and promote blended learning. The process is still in its infancy in Chinese colleges and universities, and its development remains a problem to be solved. By combining technology acceptance and student participation, this article proposes an analysis model for assessing the factors influencing blended learning. A questionnaire was designed and distributed, and 796 valid responses were collected. The mean and variance were used to examine the status of students’ technology acceptance and satisfaction with blended learning. The t-test method was employed to analyze the gender differences between students in regard to the topic. The results show that: (1) students majoring in computer science view the factors as having a high level of influence in blended learning. (2) There are major variances regarding the perception of service quality between male and female computer science major students. There is no significant difference between them in terms of perceived usefulness, perceived ease of use, or computer self-efficacy. (3) There are considerable disparities in the skill involvement and participation of computer science major college students. The results show that the technology acceptance and participation of students determine the effect of blended learning. Based on these findings, this article provides theoretical and practical suggestions for the implementation of blended learning to improve its effect.

show abstract

“…Through literature review, it is found that most authors consider passive IRS to improve the PLS of the system. As in the literature [23][24][25][26][27][28][30][31][32][33][34][35][36][37], the security performance of a passive IRS-assisted system is considered, and the security capacity is maximized by optimizing the reflection phase shift and/or transmission probability of the passive IRS.…”

Section: Introductionmentioning

confidence: 99%

Security performance analysis of active intelligent reflective surface assisted wireless communication

Liang

Xie

et al. 2023

COMSIS J

View full text Add to dashboard Cite

As a new communication technology, Intelligent Reflecting Surface (IRS) can intelligently reconfigure the wireless propagation environment by integrating many passive/active reflective elements on the plane. According to the characteristics that IRS can adjust the propagation channel intelligently, this paper applies IRS to wireless security communication, and studies how to make the security rate reach the optimal security capacity from the perspective of optimization technology. In this paper, two schemes of passive/active IRS are considered, and the corresponding safety rate maximization algorithm is proposed. In view of the non convexity of the objective function, on the one hand, in the passive IRS scheme, the Dinkelbach method is used to transform the objective function into a form that is easy to handle, and the original problem is transformed into a convex problem through the continuous convex approximation method; On the other hand, under the active IRS scheme, aiming at the complexity of the original problem, the first order Taylor expansion is used to obtain the lower bound of the optimization problem, and a minimax optimization algorithm is proposed. Finally, the performance of the proposed algorithm is verified by simulation. The simulation results show that the algorithm designed with active IRS has better security rate than the algorithm designed with passive IRS under the same parameter settings.

show abstract

Timing-Aware Layer Assignment for Advanced Process Technologies Considering via Pillars

Cited by 32 publications

References 38 publications

Automatic Generation of Real-Time Animation Game Learning Levels Based on Artificial Intelligence Assistant

Automatic Generation of Real-Time Animation Game Learning Levels Based on Artificial Intelligence Assistant

Research on the state of blended learning among college students – A mixed-method approach

Security performance analysis of active intelligent reflective surface assisted wireless communication

Contact Info

Product

Resources

About