A Dynamic Time-Evolution Control Method to Improve the Performance of Optoelectronic Coherent Ising Machine

2021 ◽  
Author(s):  
Zhenhua Li ◽  
Jie Liu ◽  
Siyuan Yu
Epigram ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 27-36
Author(s):  
Sri Wahyono ◽  
Nur Hasyim ◽  
Ade Sukma Mulya

Cohesion is a semantic concept and part of the system of a language. The language can be orally or written. One of the indicators of good discourse (written) is having good cohesion and coherence aspect. This study is entitled Lexical Cohesion Analysis on Scopus-Indexed-Journal entitled “A New Control Method for Power based on Dynamic Evolution Control“. The aim of this study is to identify and describe the lexical cohesion in the Scopus-indexed article journal. This study is a qualitative research. The data sources in this study an article Scopus indexed-journal was obtained by purposive sampling. Furthermore, analysis of the data was done by identifying and classifying the data that related to cohesion, based on the theory of Halliday and Hasan (1976) and also analyzing used Spradley (1980). Based on the analysis, it was found five things related to cohesion and coherence. First, lexical cohesion devices which are used consist of repetition, synonymy, antonymy, hyponymy, and meronymy. The most frequent lexical cohesion used is repetition. Therefore, it can be of an interest to the (future) writer or researcher who are involved in writing journal. The study concludes that lexical cohesion determines writers’ tones in writing article and this ultimately contributes significantly enough in constructing persuasion and strong desire to persuade editorial boards of the journal to accept the article. It has also been highlighted that the findings of this study could be broaden in grammatical cohesion, and also be beneficial to researchers and ESL/EFL learners especially in persuasive and academic writing. Those aspects and factors can be considered to certain paper or journal article whether rejected or accepted in Scopus-indexed journal.


2019 ◽  
Vol 66 (1) ◽  
pp. 184-190 ◽  
Author(s):  
Lining Zhang ◽  
Chenyue Ma ◽  
Ying Xiao ◽  
Hanyu Zhang ◽  
Xinnan Lin ◽  
...  

2020 ◽  
pp. 167-176
Author(s):  
R. Errais ◽  
A. Senhaji ◽  
M. Mouqallid ◽  
A. Bekkaoui ◽  
Y. El Fellah ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Yan Pei ◽  
Qiangfu Zhao ◽  
Yong Liu

A fitness landscape presents the relationship between individual and its reproductive success in evolutionary computation (EC). However, discrete and approximate landscape in an original search space may not support enough and accurate information for EC search, especially in interactive EC (IEC). The fitness landscape of human subjective evaluation in IEC is very difficult and impossible to model, even with a hypothesis of what its definition might be. In this paper, we propose a method to establish a human model in projected high dimensional search space by kernel classification for enhancing IEC search. Because bivalent logic is a simplest perceptual paradigm, the human model is established by considering this paradigm principle. In feature space, we design a linear classifier as a human model to obtain user preference knowledge, which cannot be supported linearly in original discrete search space. The human model is established by this method for predicting potential perceptual knowledge of human. With the human model, we design an evolution control method to enhance IEC search. From experimental evaluation results with a pseudo-IEC user, our proposed model and method can enhance IEC search significantly.


2001 ◽  
Vol 84 (9) ◽  
pp. 16-26
Author(s):  
Tadao Saito ◽  
Hitoshi Aida ◽  
Terumasa Aoki ◽  
Soichiro Hidaka ◽  
Tredej Toranawigtrai ◽  
...  

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