Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning最新文献_第6页

Human Activity Recognition based on Transformer in Smart Home 智能家居中基于变压器的人体活动识别

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590100

Xinmei Huang, Shenmin Zhang

引用次数: 0

Multi-Modal Fusion Object Tracking Based on Fully Convolutional Siamese Network 基于全卷积Siamese网络的多模态融合目标跟踪

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590084

Ke Qi, Liji Chen, Yicong Zhou, Yutao Qi

{"title":"Multi-Modal Fusion Object Tracking Based on Fully Convolutional Siamese Network","authors":"Ke Qi, Liji Chen, Yicong Zhou, Yutao Qi","doi":"10.1145/3590003.3590084","DOIUrl":"https://doi.org/10.1145/3590003.3590084","url":null,"abstract":"RGBT tracking incorporates thermal infrared data to achieve more accurate visual tracking. However, the efficiency of RGBT tracking may be diminished by some bottlenecks, such as thermal crossover, illumination variation and occlusion. To address the aforementioned problems, we propose a fully-convolutional Siamese-based Multi-modal Feature Fusion Network (SiamMFF) that integrates RGB and thermal features. In our work, visible and infrared images are initially processed by the Multi-Modal Feature Fusion framework (MFF) at the search and template sides, respectively. Then, the attribute-aware fusion module is introduced to conduct feature extraction and fusion for the major challenge attributes. In particular, we design a skip connections guidance module to prevent the propagation of noise and to enrich the feature information so that we can improve the tracker’s discriminative ability for modality-specific challenges. The proposed SiamMFF method has been evaluated in a great number of trials on two benchmark datasets GTOT and RGBT234, and the precision rate and success rate can reach 90.5%/73.6% and 81.2%/57.3%, respectively, demonstrating the superiority of our method over existing state-of-the-art methods.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121945837","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

Genetic algorithm in hopfield neural network with probabilistic 2 satisfiability 概率可满足hopfield神经网络的遗传算法

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590024

Ju Chen, Chengfeng Zheng, Yuan Gao, Yueling Guo

{"title":"Genetic algorithm in hopfield neural network with probabilistic 2 satisfiability","authors":"Ju Chen, Chengfeng Zheng, Yuan Gao, Yueling Guo","doi":"10.1145/3590003.3590024","DOIUrl":"https://doi.org/10.1145/3590003.3590024","url":null,"abstract":"Genetic Algorithm (GA) is to convert the problem-solving process into a process similar to the chromosomal changes in biological evolution using the mathematical method and computer simulation operation. This meta-heuristic algorithm has been successfully applied to system logic and non-system logic programming. In this study, we will explore the role of the Bipolar Genetic Algorithm (GA) in enhancing the learning process of the Hopfield neural network based on the previous study of PRO2SAT, and generate global solutions of the Probabilistic 2 Satisfiability model. The main purpose of the learning phase of the PRO2SAT model is to obtain consistent interpretations and calculate the optimal prominence weights, and the GA algorithm is introduced to improve the ability of PRO2SAT to obtain consistent interpretation using its selection, crossover, and mutation operators, and thus to improve the ability of the logic programming model to get a global solution. In the experimental phase, simulation data are used for result testing, and three performance metrics are used to test the consistency interpretation and global solution acquisition ability of the proposed model, including mean absolute error, logic formula satisfaction ratio, and global minimum ratio. Experimental results show that GA, as a meta-heuristic algorithm, has better searching ability for optimal solution and can effectively assist logic programming.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127231838","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

Elastic Detection Mechanism Aimed at Hybrid DDoS Attack 针对混合DDoS攻击的弹性检测机制

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590031

Yubo Wang, Jinyu Wang

引用次数: 0

Research on Colorization of Qinghai Farmer Painting Image Based on Generative Adversarial Networks 基于生成对抗网络的青海农民画图像着色研究

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590094

Chunyan Peng, Xueya Zhao, Guangyou Xia

引用次数: 0

Performance Evaluation of an Extradosed Cable-Stayed Bridge with Corrugated Web based on Machine Learning Algorithms 基于机器学习算法的波纹腹板斜拉桥性能评价

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590050

Zeyu Du, Zhenhua Pan, Z. Xiong, Lei He, Haipeng Wang, Houda Zhu, Jiangbo Wang

引用次数: 1

An Unmanned Lane Detection Algorithm Using Deep Learning and Ordered Test Sets Strategy 基于深度学习和有序测试集策略的无人驾驶车道检测算法

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590087

Shenwei Zhang, Xiaoyan Lin, Mingwei Zhang, Zhen Zhang, Yun Hou, Honglong Ning, Tian Qiu

{"title":"An Unmanned Lane Detection Algorithm Using Deep Learning and Ordered Test Sets Strategy","authors":"Shenwei Zhang, Xiaoyan Lin, Mingwei Zhang, Zhen Zhang, Yun Hou, Honglong Ning, Tian Qiu","doi":"10.1145/3590003.3590087","DOIUrl":"https://doi.org/10.1145/3590003.3590087","url":null,"abstract":"The traditional method of automatic lane detection is mostly based on Hough detection. However, this category of methods has low robustness and is vulnerable to interference. In order to improve the accuracy of lane detection, the presented paper compares and analyzes the end-to-end lane line detection network based on deep learning, including Unet-base and Deeplabv3+, in view of gradient explosion and slow running speed during model training, solutions are also given. Ordered test sets are used to speed up the training processing and validate the deep learning algorithm, in the case of different image resolutions, uses Unet-base and Deeplabv3+ to perform experiments respectively. Experiments show that under the same resolution, the Unet-base model with FCN network structure incorporating a better training strategy outperforms the Deeplabv3+ algorithm model that uses a classical ASSP module to solve the downsampling layer problem in terms of model generalization capability. And the MIOU of improved Unet-base is higher than Deeplabv3+. Therefore, compared to DeepLabv3+, the improved Unet-base model is more generalized.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115123263","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

An Interpretable Brain Network Atlas-Based Hybrid Model for Mild Cognitive Impairment Progression Prediction 基于可解释脑网络图谱的轻度认知障碍进展预测混合模型

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590081

Xianglong Guan, Li Ma, Yunyou Huang, Suqin Tang, Tinghui Li

{"title":"An Interpretable Brain Network Atlas-Based Hybrid Model for Mild Cognitive Impairment Progression Prediction","authors":"Xianglong Guan, Li Ma, Yunyou Huang, Suqin Tang, Tinghui Li","doi":"10.1145/3590003.3590081","DOIUrl":"https://doi.org/10.1145/3590003.3590081","url":null,"abstract":"The process of Alzheimer’s disease (AD) is irreversible, but reasonable medical intervention for preclinical AD can delay AD’s onset. Progressive mild cognitive impairment (pMCI) is the most critical stage for AD preclinical intervention. Therefore, accurate identification of pMCI will significantly improve patient benefits. Functional MRI is a neuroimaging modality that has been widely utilized to study brain activity related to AD. However, it is challenging to obtain functional MRI data, and a small amount of data will easily lead to the overfitting of the identification model. In addition, the current pMCI identification model lack interpretability leads to difficulty in acceptance by clinicians. In this work, we propose an interpretable hybrid model based on a brain network atlas to identify pMCI subjects. First, the hybrid model utilizes multi-layer perceptron to obtain categorical global features to help graph neural networks reduce overfitting. Second, the attention mechanism is introduced into the model to explain the recognition behavior of the model. The results show that our model outperforms the comparison models on multiple metrics.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"4577 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114071189","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

Haze video image Clarity Processing Based on Optical Flow Threshold 基于光流阈值的雾霾视频图像清晰度处理

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590075

Ru Chen, Xijuan Wang

{"title":"Haze video image Clarity Processing Based on Optical Flow Threshold","authors":"Ru Chen, Xijuan Wang","doi":"10.1145/3590003.3590075","DOIUrl":"https://doi.org/10.1145/3590003.3590075","url":null,"abstract":"In view of the problem of haze weather on the visual effect of video image, which causes the picture distortion, image quality degradation and definition blur of video image, a defogging processing method of haze video image based on optical flow threshold is proposed so as to restore the real and natural color image. Firstly, extract the image of the t frame at time t, track the characteristics of the image at time t + 1 to time t + n, extract the image of the t+n frame, then calculate the optical flow values of the t frame and the t + n frame, make a difference between the obtained optical flow values to obtain the optical flow threshold, compare the obtained optical flow threshold with the given threshold, if the value is greater than or equal to the given threshold, take the optical flow threshold intermediate frame image, and the middle frame and t+n frame images are processed by Retinex algorithm, and this operation is performed iteratively. Finally, the processed single frame video sequence is merged into a whole and output. The experiment shows that the processing speed of the algorithm is 0.07, much lower than other processing methods, which verifies the effectiveness and innovativeness of the proposed algorithm.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121196829","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

CBAM-based Method in YOLOv7 for Detecting Defective Vacuum Glass Tubes 基于cbam的YOLOv7真空玻璃管缺陷检测方法

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590079

Zeyu Sheng, Haiguang Chen, Zifeng Qi

引用次数: 1