Displays最新文献

{"title":"Single image super-resolution with channel attention and diffusion","authors":"Sen Xiang ,&nbsp;Dasheng Huang ,&nbsp;Haibing Yin ,&nbsp;Hongkui Wang ,&nbsp;Li Yu","doi":"10.1016/j.displa.2024.102942","DOIUrl":"10.1016/j.displa.2024.102942","url":null,"abstract":"<div><div>Single image super-resolution (SISR) is a fundamental vision task that facilitates a range of applications. In SISR, human perception, objective quality index, and complexity are three main concerns. In this paper, we propose a new SISR framework known as single image super-resolution with channel attention and diffusion (SRCAD). The proposed SRCAD combines the stochastic iterative mechanism of the denoising diffusion probabilistic model (DDPM) with advanced feature encoding techniques. With the guidance of encoded features, the diffusion model better predicts SR images with more details, and the model size is also reduced as well. To be specific, in feature encoding, SRCAD introduces a pre-trained encoder combined with dimensional interleaved product channel attention (DIP-CA), which extracts key features at a low computational cost. The extracted deep features guide iterative denoising and are combined with distribution-aware feature subset fusion (DFSF) to reduce the data dimension of the features. Experimental results demonstrate that SRCAD performs well on four datasets and two SR tasks. It also outperforms other state-of-the-art models in terms of objective quality metrics, including PSNR, SSIM, and LR-PSNR. Besides, it also reduces the number of parameters, thus delivering high performance with low complexity.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102942"},"PeriodicalIF":3.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpersonal synchronization and eye-tracking in children with autism spectrum disorder: A systematic review","authors":"Bei-hua Zhang ,&nbsp;Qian-ru Jiang ,&nbsp;Chao-shan Yan ,&nbsp;Ran Tao","doi":"10.1016/j.displa.2024.102950","DOIUrl":"10.1016/j.displa.2024.102950","url":null,"abstract":"<div><h3>Background:</h3><div>We aimed at synthesizing recent literature on interpersonal synchronization (IPS) and eye tracking (ET) in children and adolescents with autism spectrum disorder (ASD) during face-to-face real-time social IPS tasks, how atypical their performance is compared to typically developing (TD) children, and at analyzing factors influencing eye movements, ET performance, patterns of cortical in ASD children.</div></div><div><h3>Method:</h3><div>Web of Science, PubMed, ScienceDirect, Embase and Cochrane Library databases were searched. The review is registered with PROSPERO (CRD42021245383).</div></div><div><h3>Results:</h3><div>11 of the 532 retrieved papers were included. 7 studies applied eye-tracking and 4 studies applied functional near infrared spectroscopy (fNIRS). Children with ASD were often characterized by atypical gaze patterns in the 7 eye tracking studies, that is, a marked decrease in the focus on the faces of adults and an increase in the focus on the backgrounds. In 4 fNIRS studies, children with ASD showed poor movement synchronization, hypoactivity of superior temporal sulcus (STS), inferior frontal gyrus (IFG), middle and inferior frontal gyri (MIFG), middle and superior temporal gyri (MSTG), and hyperactivity of inferior parietal lobe (IPL). The activation of STS, IFG, MIFG and MSTG were associated with social performance, communication performance and ASD severity.</div></div><div><h3>Conclusion:</h3><div>Recognizing the early atypical development of eye movements and function in STS, IFG, MIFG, MSTG and IPL in children with ASD is an important factor in how clinicians, therapists and social workers treat and intervene with this population. Although, for the time being, it is difficult to draw conclusions with a high level of evidence due to the heterogeneity within ASD, inconsistencies in study design and the lack of multicenter randomized controlled studies. At present, preliminary investigations of behavior and neurobiological markers of ASD children in real-time face-to-face social IPS tasks are underway. In addition, we analyze their relevant influencing factors, which can contribute to guide the design of more targeted experimental paradigms and intervention practice.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102950"},"PeriodicalIF":3.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient p-i-n-p blue OLED devices by inserting organic heterojunctions for charge generation","authors":"Bingjia Zhao ,&nbsp;Yangyang Zhu ,&nbsp;Yacheng Xu ,&nbsp;Xuande Yang ,&nbsp;Jie Li ,&nbsp;Yanqiong Zheng ,&nbsp;Bin Wei ,&nbsp;Wei Shi ,&nbsp;Chenchen Li ,&nbsp;Siqi Zhang","doi":"10.1016/j.displa.2024.102959","DOIUrl":"10.1016/j.displa.2024.102959","url":null,"abstract":"<div><div>An n-p type organic heterojunction composed of various materials was inserted between the Al electrode and the electron injection layer to fabricate an optimized p-i-n-p blue OLED device. The n-p type organic heterojunction generate carriers under reverse bias, reducing the injection barrier for carriers and regulating carrier balance. A p-n junction carrier device was fabricated to investigate their carrier transport properties. The energy levels of the p-layer and n-layer were analyzed using ultraviolet photo-electron spectroscopy (UPS) and low-energy inverse photoelectron spectroscopy (LEIPS). The p-i-n-p OLED with BPhen:15 %Ag₂O (20 nm)/NPB:10 %MoO₃ (10 nm) as the heterojunction shows a remarkable 0.6 V reduction in turn-on voltage. Current efficiency (CE), power efficiency (PE), and external quantum efficiency (EQE) increase by 29.3 %, 41.2 %, and 12.5 %, respectively, compared to the basic p-i-n OLED. Finally, FTIR spectra indicate a charge generation in the p-n junction, enabling a balanced carrier distribution.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102959"},"PeriodicalIF":3.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-scale and contrastive learning for pediatric chest radiograph classification tasks","authors":"Qian Chen ,&nbsp;Zihang Lin ,&nbsp;Xudong Li ,&nbsp;Jingyuan Zheng ,&nbsp;Yan Zhang ,&nbsp;Rongrong Ji","doi":"10.1016/j.displa.2024.102951","DOIUrl":"10.1016/j.displa.2024.102951","url":null,"abstract":"<div><div>Pediatric medical image classification faces enormous challenges due to the subtlety of children’s physiology, the subtle manifestations of pathological changes, and the urgent need for accurate and timely diagnosis. This complexity is further exacerbated by the high variability in image quality, the small sample sizes of rare diseases, and the need for models to generalize well over diverse and often limited datasets. Addressing these challenges is imperative to improve pediatric healthcare outcomes. To this end, this paper proposes a model that combines contrastive learning and multi-scale theory, which simulates the behavior of the eye zooming in and out of an image when a physician is looking at a medical imaging picture. First, we zoom in and out the image and then perform feature extraction and blending by feature encoder and scale integration unit for the purpose of learning the fine texture and global feature of the lesion. At the same time, we write a series of texts for the disease category that needs to be diagnosed and get its features through text encoder. Considering the further fusion of image features, we also introduce a frozen LLM block to do it. Finally, we use text features and image features for similarity computation, the crucial step of contrastive learning, and obtain the final categories. On four public datasets, our proposed model performs excellently and outperforms existing SOTA methods. In addition, our model also performs well in generalized proficiency testing, particularly in IQA. With this work, we aim to open new avenues for the use of contrastive learning and multi-scale theory in pediatric medical imaging and to enrich the understanding of its potential in this specialized field.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102951"},"PeriodicalIF":3.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulated bobbing in walking and running in virtual reality","authors":"You-Sheng Zhang,&nbsp;Li-Chen Ou","doi":"10.1016/j.displa.2024.102943","DOIUrl":"10.1016/j.displa.2024.102943","url":null,"abstract":"<div><div>In this study, a psychophysical experiment was carried out to develop and evaluate a bobbing mechanism that can replicate natural human walking and running movement in virtual reality (VR), aiming to enhance realism and user comfort. Subjects were required to adjust oscillation amplitudes to determine the most comfortable level of bobbing during walking and running in VR while in real world the subjects remained still. The experimental results indicate clear preference for vertical oscillation with subjects’ minimal variation across different velocities, emphasising the necessity of simulated bobbing to enhance realism and comfort without inducing discomfort. The average vertical oscillation amplitude was ±0.695 cm for walking and ±1.351 cm for running. Lateral rotation showed more variability, with an average roll amplitude of ±0.186°for walking and ±0.334°for running. These findings suggest that vertical oscillation is critical for providing more immersive and comfortable VR experiences, and that the bobbing simulation might be a useful tool for addressing VR cybersickness.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102943"},"PeriodicalIF":3.7,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of stereo matching based on deep learning","authors":"Shangshang Zhang ,&nbsp;Weixing Su ,&nbsp;Fang Liu ,&nbsp;Lincheng Sun","doi":"10.1016/j.displa.2024.102940","DOIUrl":"10.1016/j.displa.2024.102940","url":null,"abstract":"<div><div>In recent years, the introduction of deep learning has greatly advanced computer vision technology. Stereo matching, as a key technique, has shown impressive performance with the help of deep neural networks, leading to a significant amount of research. Compared to traditional methods, stereo matching based on deep learning differs in many ways. Therefore, this paper provides a comprehensive review of the latest developments in this field. We take a novel perspective by categorizing these algorithms into four branches based on how they handle the left and right views in stereo matching networks. We outline the evolution and prospects of each branch, summarizing and analyzing the outstanding methods in each, exploring their advantages, disadvantages, and main challenges. We also identify unresolved issues in each branch and discuss future research directions.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102940"},"PeriodicalIF":3.7,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mental fatigue assessment method for pilots incorporating multiple ocular features","authors":"Huining Pei,&nbsp;Guiyang Li,&nbsp;Yujie Ma,&nbsp;Hao Gong,&nbsp;Mingzhe Xu,&nbsp;Zhonghang Bai","doi":"10.1016/j.displa.2024.102956","DOIUrl":"10.1016/j.displa.2024.102956","url":null,"abstract":"<div><div>As the mental fatigue of pilots is difficult to assess without contact, this work proposes a mental fatigue assessment model that incorporates the BlazeFace algorithm and a generalized regression neural network (GRNN) improved by a genetic algorithm (GA). First, the flight video of the pilot is converted into a dataset of frame sequences, and the images are preprocessed using homomorphic filtering. The BlazeFace face detection algorithm is then used to detect faces frame by frame, achieving the localization of facial feature points. Next, since different features have varying degrees of correlation with mental fatigue, PERCLOS, average fixation duration, and pupil area are weighted through experts evaluation and fused into a composite feature M, which serves as the input for the mental fatigue classification model. Finally, the mental fatigue level is determined frame by frame using a generalized regression neural network (GRNN) optimized by a genetic algorithm (GA). The number of frames identified as representing a state of mental fatigue over a certain period is then calculated, and the corresponding level of pilot mental fatigue is output based on the number of frames in a fatigued state. The results show that the proposed BlazeFace-GA-GRNN model is able to better assess pilot mental fatigue with improved accuracy and effectiveness. It has theoretical reference significance for improving the safety management of pilot mental fatigue.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102956"},"PeriodicalIF":3.7,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on interface fatigue failure of flexible OLED display modules based on cyclic cohesive zone model","authors":"Liting Huang,&nbsp;Dunming Liao,&nbsp;Wenjing Peng,&nbsp;Ying Zhou,&nbsp;Keyu Chen","doi":"10.1016/j.displa.2024.102949","DOIUrl":"10.1016/j.displa.2024.102949","url":null,"abstract":"<div><div>Organic light-emitting diode (OLED) display devices are widely used in the field of electronic display because of their excellent performance, but flexible OLED displays are prone to device damage and peeling failure after multiple bendings. The cohesive zone model (CZM) has great advantages in dealing with interface peeling. In this paper, a cyclic cohesive constitutive model was developed to characterize the peeling phenomenon between the interface of optical clear adhesive (OCA) and cover window under constant cyclic loading in flexible display modules. The model was implemented in ABAQUS by user subroutine to redefine field variables at a material point (USDFLD). Through the bending fatigue peeling experiment and finite element simulation between the cover window and OCA, the cyclic cohesive constitutive parameters were obtained by the parameter inversion method, and the amplification method of fatigue damage variables was optimized. Finally, a flexible OLED simulation model with a multilayer stack structure was established. Compared with the experimental results, the simulation model successfully predicted the peeling failure position, and the relative error between the predicted life value and the experimental value was 16.6%. The applicability of the cyclic cohesive zone model in characterizing the fatigue peeling properties of the interface between the cover window and OCA was validated.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102949"},"PeriodicalIF":3.7,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CM-SC: Cross-modal spatial-channel attention network for image captioning","authors":"Md. Shamim Hossain ,&nbsp;Shamima Aktar ,&nbsp;Mohammad Alamgir Hossain ,&nbsp;Naijie Gu ,&nbsp;Zhangjin Huang","doi":"10.1016/j.displa.2024.102941","DOIUrl":"10.1016/j.displa.2024.102941","url":null,"abstract":"<div><div>In multi-modal reasoning tasks, modern models often encounter difficulties with capturing higher-order interactions and maintaining computational efficiency, particularly when processing long visual sequences. Conventional attention-based models for image captioning generally focus on first-order interactions, limiting their ability to capture intricate relationships between objects within an image. This constraint can hinder the generation of high-quality captions, as nuanced understanding and description of visual content require recognizing these deeper interconnections. In this work, we address these challenges by introducing a novel attention mechanism which is an innovative model tailored for cross-modal interactions that selectively utilizes both visual and textual information to generate fine-grained captions. Our attention mechanism, termed Cross-Modal Spatial-Channel (CM-SC), incorporates a flexible variant of cross-variance that effectively captures higher-order interactions within spatial and channel-wise attention distributions across different modalities. By stacking multiple CM-SC attention blocks, our approach facilitates second-order to potentially infinite-order feature interactions without requiring additional parameters. The attention module integrates seamlessly with both LSTM and Transformer frameworks. Notably, our approach reduces average computation time by 20.74% compared to the baseline model and improves performance metrics. Extensive experiments were conducted to validate the proposed framework on the Flickr30K and MSCOCO datasets. The results show that our approach performs competitively against many contemporary standard methods.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102941"},"PeriodicalIF":3.7,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of neuroticism personality trait on user interaction with game-based hand rehabilitation training","authors":"Dongning Yan ,&nbsp;Jing Zhao ,&nbsp;Yiming Ma ,&nbsp;Han Ma","doi":"10.1016/j.displa.2024.102944","DOIUrl":"10.1016/j.displa.2024.102944","url":null,"abstract":"<div><div>Gamification has emerged as a method in rehabilitation training to increase users’ adherence, subjective perception, and physical fitness. Neuroticism personality trait can take an active role in affecting people’s behavior during the rehabilitation process. However, little research has been conducted to study <em>whether</em> and <em>how</em> neuroticism may influence users’ interaction with the game-based rehabilitation training. In this manuscript, we conduct a laboratory-controlled experiment that not only measured the influence of neuroticism on users’ perception with the game-based hand rehabilitation training but also employed functional near-infrared spectroscopy (fNIRS) to in-depth reveal how neuroticism may influence users’ brain functions. The results show that, for people with high neuroticism, the game-based hand rehabilitation training can significantly improve their subjective perceptions and brain functions. The findings could be useful for developing a more effective hand rehabilitation training based on user personality.</div></div>","PeriodicalId":50570,"journal":{"name":"Displays","volume":"87 ","pages":"Article 102944"},"PeriodicalIF":3.7,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}