Journal of Advanced Computational Intelligence and Intelligent Informatics最新文献_第6页

Exploring Self-Attention for Visual Intersection Classification 探索视觉交叉分类中的自注意

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0386

Haruki Nakata, Kanji Tanaka, Koji Takeda

引用次数: 0

Distributed Intelligent Electrode Conversion Device Based on Power Line Carrier Communication 基于电力线载波通信的分布式智能电极转换装置

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0496

Ding Zhang, Hao-Bin Dong

引用次数: 0

Real-Time Wheat Unsound Kernel Classification Detection Based on Improved YOLOv5 基于改进YOLOv5的小麦不健全粒实时分类检测

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0474

Zhaohui Zhang, Zengyang Zuo, Zhi Li, Yu Yin, Yan Chen, Tian-yao Zhang, Xiaoyan Zhao

{"title":"Real-Time Wheat Unsound Kernel Classification Detection Based on Improved YOLOv5","authors":"Zhaohui Zhang, Zengyang Zuo, Zhi Li, Yu Yin, Yan Chen, Tian-yao Zhang, Xiaoyan Zhao","doi":"10.20965/jaciii.2023.p0474","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0474","url":null,"abstract":"China is one of the largest wheat production countries in the world. The wheat quality determines the price and many other aspects. The detection methods of wheat quality mainly depend on manual labor. It costs high amount of manpower and time, and the classification results are partly affected by different individuals. With the development of machine vision, an automatic classification system was presented in this study. A wheat unsound kernel identification method based on the improved YOLOv5 algorithm was designed by adding efficient channel attention (ECA). Compared with convolutional block attention module (CBAM) and squeeze-and-excitation network (SENet), the improved YOLOv5 algorithm was selected to fit the model better. The recognition results showed that YOLOv5 with the addition of the attention mechanism had a significant improvement in average accuracy over that without it. The most significant improvement was observed with the addition of ECA-YOLOv5, with an average accuracy of 96.24%, a 10% improvement over the other two models, and a 13% improvement over the original YOLOv5. This satisfied the application requirements for detection of wheat unsound kernel.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"4 1","pages":"474-480"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86847986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characteristics of Urban Traffic Control Measures in China in the Background of COVID-19 新冠肺炎背景下中国城市交通管制措施特征

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0352

Zezhong Hao, Xiuwu Zhang

引用次数: 0

Improved Bottleneck Bandwidth and Round-Trip Propagation Congestion Control Algorithm for Round-Trip Time Fairness 基于往返时间公平性的改进瓶颈带宽和往返传播拥塞控制算法

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0346

Zhicheng Zhao, Weihua Cao

引用次数: 0

IT-Enabled Interactions and Interfirm Trust: The Moderating Role of Relationship Duration 信息技术互动与企业间信任:关系持续时间的调节作用

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0522

Miao Li

{"title":"IT-Enabled Interactions and Interfirm Trust: The Moderating Role of Relationship Duration","authors":"Miao Li","doi":"10.20965/jaciii.2023.p0522","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0522","url":null,"abstract":"The importance of information-technology (IT)-enabled interactions in promoting interfirm trust has been documented in literature. However, the currently available findings are limited because the role of IT-enabled informal interactions has been overlooked and the categorization of trust is unclear. To obtain detailed knowledge about the relation between IT-enabled interactions and trust, this study categorizes not only the IT-enabled interactions into formal and informal types but also trust into goodwill and competence trust. Moreover, this study explores the moderating role of relationship duration on the aforementioned relationships. Through a survey of 240 firms in China, this study made the following observations: (1) IT-enabled formal and informal interactions can promote both competence and goodwill trust; (2) compared with IT-enabled informal interactions, IT-enabled formal interactions promote competence trust, and a comparable extent of goodwill trust; (3) relationship duration strengthens the positive link between IT-enabled formal interactions and competence trust; however, it has no moderating impact on the link between IT-enabled formal interactions and goodwill trust; (4) relationship duration weakens the impact of IT-enabled informal interactions on goodwill trust; however, it has no significant moderating role on the relation between IT-enabled informal interactions and competence trust. Overall, this study enriches the knowledge regarding the relationship between IT-enabled interactions and interfirm trust.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"202 1","pages":"522-529"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77480868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel Nonlinear Control for a Class of Non-Integer Order Time Lag Gene System 一类非整数阶时滞基因系统的新型非线性控制

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0378

Xiaoling Shi

引用次数: 0

Effectiveness of Pre-Trained Language Models for the Japanese Winograd Schema Challenge 日语Winograd图式挑战中预训练语言模型的有效性

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0511

Keigo Takahashi, Teruaki Oka, Mamoru Komachi

{"title":"Effectiveness of Pre-Trained Language Models for the Japanese Winograd Schema Challenge","authors":"Keigo Takahashi, Teruaki Oka, Mamoru Komachi","doi":"10.20965/jaciii.2023.p0511","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0511","url":null,"abstract":"This paper compares Japanese and multilingual language models (LMs) in a Japanese pronoun reference resolution task to determine the factors of LMs that contribute to Japanese pronoun resolution. Specifically, we tackle the Japanese Winograd schema challenge task (WSC task), which is a well-known pronoun reference resolution task. The Japanese WSC task requires inter-sentential analysis, which is more challenging to solve than intra-sentential analysis. A previous study evaluated pre-trained multilingual LMs in terms of training language on the target WSC task, including Japanese. However, the study did not perform pre-trained LM-wise evaluations, focusing on the training language-wise evaluations with a multilingual WSC task. Furthermore, it did not investigate the effectiveness of factors (e.g., model size, learning settings in the pre-training phase, or multilingualism) to improve the performance. In our study, we compare the performance of inter-sentential analysis on the Japanese WSC task for several pre-trained LMs, including multilingual ones. Our results confirm that XLM, a pre-trained LM on multiple languages, performs the best among all considered LMs, which we attribute to the amount of data in the pre-training phase.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"49 1","pages":"511-521"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76886341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fuzzy Cooperative Control for the Stabilization of the Rotating Inverted Pendulum System 旋转倒立摆系统稳定的模糊协同控制

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0360

Yujue Wang, Weining Mao, Qing Wang, Bingyan Xin

引用次数: 1

A Fault Warning Method for Hotline Tap Clamp Infrared Images Based on Hybrid Segmentation 基于混合分割的热线丝锥钳红外图像故障预警方法

IF 0.7

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI: 10.20965/jaciii.2023.p0458

Peifeng Shen, Yang Yang, Lihua Li, Tingzhi Chen, Ning Yang

{"title":"A Fault Warning Method for Hotline Tap Clamp Infrared Images Based on Hybrid Segmentation","authors":"Peifeng Shen, Yang Yang, Lihua Li, Tingzhi Chen, Ning Yang","doi":"10.20965/jaciii.2023.p0458","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0458","url":null,"abstract":"Substation equipment faults are typically related to the heating of equipment components. The hotline tap clamps of substation are critical components for carrying load currents and thermal fault potential. As a result, a new hybrid early warning approach for hotline tap clamp faults in substation equipment is presented. A two-dimensional Otsu algorithm is used to coarse-segment infrared images to minimize the subsequent complexity. Since the Chan–Vese (CV) model is insufficiently accurate for image segmentation with uneven grayscale, then the differential data obtained by the Prewitt operator to identify the goal edges are combined with the CV model to improve segmentation accuracy. The improved CV model achieves excellent segmentation of the hotline tap clamp in the substation. The temperature statistics are utilized for the segmented images, and the hotline tap clamp fault warning is realized based totally on the relative temperature difference. Finally, the experiments exhibit that the method can enhance the segmentation impact of infrared images and obtain the goal of fault warning.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"145 1","pages":"458-466"},"PeriodicalIF":0.7,"publicationDate":"2023-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80484025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0