Research on AI Painting Generation Technology Based on the [Stable Diffusion]

Chenghao Wang,Jeanhun Chung The Institute of Internet 2023 International journal of advanced smart convergenc Vol.12 No.2

With the rapid development of deep learning and artificial intelligence, generative models have achieved remarkable success in the field of image generation. By combining the stable diffusion method with Web UI technology, a novel solution is provided for the application of AI painting generation. The application prospects of this technology are very broad and can be applied to multiple fields, such as digital art, concept design, game development, and more. Furthermore, the platform based on Web UI facilitates user operations, making the technology more easily applicable to practical scenarios. This paper introduces the basic principles of Stable Diffusion Web UI technology. This technique utilizes the stability of diffusion processes to improve the output quality of generative models. By gradually introducing noise during the generation process, the model can generate smoother and more coherent images. Additionally, the analysis of different model types and applications within Stable Diffusion Web UI provides creators with a more comprehensive understanding, offering valuable insights for fields such as artistic creation and design.

Researching Visual Immersion Elements in VR Game <Half-Life: Alyx>

Chenghao Wang,Jeanhun Chung 한국인터넷방송통신학회 2023 International Journal of Internet, Broadcasting an Vol.15 No.2

With the development of VR technology, the visual immersion of VR games has been greatly enhanced nowadays. There has been an issue that has been troubling players in previous VR games, which is motion sickness. Therefore, VR games have been limited in terms of game mechanics, game duration, and game scale, greatly reducing the immersive experience of visual immersion. However, <Half-Life: Alyx> is different from previous VR games in that players can actually perform spatial displacement in the game scene, rather than being fixed in one place for 360-degree observation and interaction. At the same time, compared to traditional games, VR games no longer need to rely on screens, and the complete visual immersion enhances the fun and playability of the game. This research focuses on the VR game <Half-Life: Alyx> to explore its immersive factors in terms of visual perception. Through in-depth analysis of elements such as color, texture mapping, lighting, etc. in VR games, it was found that the game creates a strong sense of visual immersion in these aspects. Through analysis, it is helpful to gain a deeper understanding of the factors that contribute to visual immersion in VR games, which has certain reference value for game developers and related professionals.

Long Noncoding RNA Expression Profiling During the Neuronal Differentiation of Glial Precursor Cells from Rat Dorsal Root Ganglia

Yunfei Dai,Wei Ma,Tong Zhang,Jinwei Yang,Chenghao Zang,Kuangpin Liu,Xianbin Wang,Jiawei Wang,Zhen Wu,Xingkui Zhang,Chunyan Li,Junjun Li,Xiangpeng Wang,Jianhui Guo,Liyan Li 한국생물공학회 2020 Biotechnology and Bioprocess Engineering Vol.25 No.3

Long noncoding RNAs (lncRNAs) play important roles in the process of cell fate determination. However, their function and expression profiles have not yet been systematically investigated during the transdifferentiation of glial precursor cells derived from dorsal root ganglia (DRG) in the peripheral nervous system. Our results demonstrated significant differences in gene architecture and expression among the three transcript types (lncRNA, mRNA, and TUCP). Distinct differences in transcript length, exon number, and ORF length were identified between lncRNAs and mRNAs after comparative analysis of their structure and sequence conservation. We found that the upregulated lncRNAs outnumbered the downregulated lncRNAs in glial precursor cells cultured with proBDNF antiserum compared with the levels in glial precursor cells cultured without proBDNF antiserum. By a series of GO and KEGG analyses, we found that the effects of some lncRNAs on their target genes in cis were related to nerve growth factor-induced cell cycle, cell phenotype change, and neuronal differentiation. The qRT-PCR verification results of lncRNAs ENSRNOT00000091991, ENSRNOT00000087717, and LNC_000429 were mostly consistent with the sequencing results. The candidate lncRNAs may be associated with the neuronal transdifferentiation of glial precursor cells. Our study provides the first evidence for a remarkably diverse pattern of lncRNA expression during neuronal differentiation of glial precursor cells from rat DRG, and also provides a resource for lncRNA studies in the field of cell differentiation.

Domain Knowledge Actively Recommendation System Based by Process-Driven and Rough Set

XinGang Wang,ChengHao Li,Tao Sun 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.5

Recommend knowledge to staff who need in the work can improve work efficiency, knowledge application and innovation. Enterprise knowledge is described in three dimensions: knowledge attribute, process and domain. Based on this, domain knowledge actively recommendation architecture based by process-driven and rough set is construct, while domain knowledge and rough set active recommendation method is proposed. We will use this architecture to analyze employee, domain, and process. Then will using rough set to analyze the rules from logs of using knowledge. Combination with requirement of employees, process data and the rules to achieve recommend the accurate knowledge.

Condition monitoring of inverter power devices based on electromagnetic acoustic emissions

Fei Liu,Chenghao Zeng,Liang Cheng,Yunze He,Yun Bai,Xuefeng Geng,Songyuan Liu,Dantong Ren,Lei Wang 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.12

Unlike conventional voltage and current sensing, this paper studies the use of acoustic emission signals to detect the condition of the power device for a DC–AC inverter. As a relatively new method for monitoring power devices, there are some unknown phenomena in acoustic emissions (also called mechanical stress wave). Therefore, the authors present an experimental setup that is used to analyze acoustic emission signals. Based on experimental results, some interesting points have been found: (1) The generation of a mechanical stress wave is verified for the first time. (2) The time-domain peak value, energy, and rise time of the mechanical stress wave at the turn-on time of a power device are barely affected by the load. Meanwhile, these values decrease with an increase of the load at the turn-off time. (3) The frequency-domain peak value of the mechanical stress wave tends to decrease with an increase of the load, and the peak frequency is barely affected by the load. These mechanical stress analysis results can be utilized for condition monitoring in many applications.

The characteristics of CO2 front dynamic migration in low permeability sandstone oil reservoirs under different miscibility degrees

Jin Yong,Wang Zhilin,Zhang Zhenxin,Lin Bo,Ge Zhengjun,You Qidong,Chen Hao,Liu Xiliang,Xu Chenghao,Gao Shuaiqiang,Wu Yi,Abro Zafar 한국자원공학회 2023 Geosystem engineering Vol.26 No.4

CO2 flooding is a significant technology for oil recovery, to reveal the microcosmic mechanism of CO2 flooding, CO2 slim tube experiments, long core CO2 flooding experiments, gas chromatography analysis experiments, and numerical simulations were carried out. The results show that the miscibility increase can improve the effect of dissolution and diffusion in the CO2-crude oil system, easing the CO2 finger entry phenomena, and delaying gas breakthrough time. Besides, the CO2 -crude oil interaction is enhanced by increasing the pressure difference between the injection well and the production well, which improves the oil recovery of CO2 flooding. Besides, CO2 carries the light and medium components (C4 ~ 25) forward to cross the first miscible zone, which makes the CO2-crude oil system form double miscible zones. This study reveals the rule of CO2 front and light components front under different miscibility degrees of CO2 flooding from the microscopic perspective and deepens the theory of CO2 flooding in low-permeability sandstone reservoirs.

Ammonia etched petroleum pitch-based porous carbon as efficient catalysts for CO2 electroreduction

Ning Hui,Guo Zhihao,Wang Wenhang,Wang Xiaoshan,Yang Zhongxue,Ma Zhengguang,Tian Yangming,Wu Chenghao,Hao Jian,Wu Mingbo 한국탄소학회 2022 Carbon Letters Vol.32 No.3

Electrochemical reduction of carbon dioxide to valuable chemicals is a promising way of storing renewable energy through electric-to-chemical energy conversion, while its large-scale application is in urgent need of cheap and high-performance catalysts. Herein, we invent a convenient method to synthesize N-doped porous carbon by ammonia etching the pyrolysis carbon of petroleum pitch. We found the ammonia etching treatment not only increase the pyridinic-N content, but also enlarge the specific surface area of the petroleum pitch-based porous carbon. As a cheap and easily available catalyst for carbon dioxide electroreduction, up to 82% of Faradaic efficiency towards carbon monoxide was obtained at − 0.9 V vs the reversible hydrogen electrode in 0.1 M KHCO3. After a long time electrocatalysis of more than 20 h, the Faradaic efficiency of carbon monoxide remains 80%, indicating the porous carbon as made have an ultra-high stability as catalyst for carbon dioxide reduction. Our work provides a new technology to economically prepare efficient electrocatalysts for carbon dioxide reduction.

Knockdown of eIF3a attenuated cell growth in K1 human thyroid cancer cells

Xucai Zheng,Shengying Wang,Shikai Hong,Jianjun Liu,Chenghao Jiang 한국유전학회 2021 Genes & Genomics Vol.43 No.4

Background In ribosome establishment and the initiation of translation, eukaryotic translation initiation factor (eIF) 3a is a pivotal functional subunit of the eIF3 complex. In various cancer types, abnormal eIF3a expression plays an important role in tumorigenesis. Objective We aimed to explore the role of eIF3a in human thyroid cancer (TC). Material and methods The expression of eIF3a was determined in TC tissues by qRT-PCR and immunohistochemistry (IHC) assay, respectively. In addition, the expression of eIF3a in K1 and BCPAP cells were detected by qRT-PCR. Cell proliferation, cell cycle, and cell apoptosis were assessed after eIF3a knockdown in K1 in cell line. Results The expression of eIF3a mRNA was high in TC tissues and cancer cell lines. Moreover, eIF3a expression in TC tissues indicated that high eIF3a level was associated with tumor grade. In addition, eIF3a knockdown resulted in a signifcantly decrease in cell proliferation and increased the apoptosis of K1 cells. Cell cycle was arrested in both the S and G2/M phase. The levels of phosphorylated ERK1/2 and surviving were decreased after eIF3a knockdown. Conclusion Our study suggested that eIF3a contributed to TC cell proliferation. It may be a promising target for gene therapy in human thyroid cancer.

Coupling membrane and Fe–Pd bimetallic nanoparticles for trichloroethene removing from water

Bangkai Li,Xi Chen,Kun Li,Chenghao Zhang,Yang He,Runhong Du,Jianzu Wang,Li Chen 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.78 No.-

A novel composite membrane with membrane pores loading acrylic acid microgels coated by Fe–Pdbimetallic nanoparticles (NPs) was prepared for the dechlorination of trichloroethene (TCE) in water. Thismembrane was prepared byfirstly immobilizing acrylic acid microgels in poly (vinylidenefluoride)(PVDF) membrane pores and then in-situ synthesis of Fe–Pd bimetallic nanoparticles (NPs). The Fe–PdNPs coupled with the porous membranes enabled dechlorination to be conducted in a cross-flow modelincluding a penetrativeflow and a tangentialflow. In such a model, a large number of dechlorinationoccurred in penetrativeflowfluid while no dechlorination occurred in tangentialflowfluid. Thus,products and reactants are always timely isolated in the cross-flow dechlorination process. Thecomposite membrane prevents Fe–Pd NPs from contamination because its nanosize surface pores stopcolloids and bovine serum albumin (BSA) from entering into the membrane interior. However, thesesmall surfaces pores cannot slow the diffusion of reactants into membrane pores, and thus make the asformedcomposite membrane also show a fast dechlorination rate in a batch reaction. All in all, TCEdechlorination by the composite membrane shows many advantages including the fast dechlorinationrate, the convenient operation, the timely isolation of products from reactants, and the ignorable extrasteps for separation of metal NPs.

Dynamic thermal behavior and thermal error prediction of spindle due to periodic jump motions in a large precision die-sinking EDM machine

Zhaoxi Zhao,Jia Zhang,Yukui Wang,Zhen-long Wang,Jianyong Liu,Chenghao Quan 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.7

Thermal error which has been widely studied in cutting machine tools, was ignored in the EDM machines in most cases, since there is usually no high-speed rotation for spindles. However, for large die-sinking EDM machines, due to heavy load of drive system and long processing cycle of large aeronautical parts, thermal error induced by jump motion has seriously impaired the machining accuracy and gradually been recognized. In this paper, the dynamic thermal behavior of spindle induced by periodic jump motions in large precision die-sinking EDM machine was studied for the first time. Noted that the Z-axis base and column show obvious temperature rise and the thermal error in Y direction is the largest, which is about 6.5 and 5 times compared with that in X and Z directions. Based on this, an efficient thermal error prediction model was presented. Thermal sensitive points were picked out through fuzzy clustering and correlation theory, taken as inputs of radial basis function (RBF) neural network to guarantee the accuracy. As a result, the prediction accuracy in X, Y and Z directions are 95.2 %, 92.5 % and 94.4 %, respectively. Finally, the effect of jump period on spindle thermal behavior was investigated, and suggestions for optimizing jump motion parameters were proposed to further improve the machining accuracy of large EDM machines.