Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications最新文献_第2页

Power Probabilistic Energy Flow Calculation for Integrated Energy System Considering Uncertainties of Renewable Energy Output and Load 考虑可再生能源出力和负荷不确定性的综合能源系统功率概率能量流计算

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546031

Di Jin, Chenhang Sun, Zhiyi Yang, Ruifa Cao, Zhigang Zhang

引用次数: 0

Road extraction method of vehicle trajectory data based on geo-referenced videos 基于地理参考视频的车辆轨迹数据道路提取方法

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546024

Zhongxin Du, Ye Qiu, Qingbin Yu, Yingjie Chen, Mengru Ma, Wei Ding

{"title":"Road extraction method of vehicle trajectory data based on geo-referenced videos","authors":"Zhongxin Du, Ye Qiu, Qingbin Yu, Yingjie Chen, Mengru Ma, Wei Ding","doi":"10.1145/3546000.3546024","DOIUrl":"https://doi.org/10.1145/3546000.3546024","url":null,"abstract":"With the increasing use of driving recorder equipment, people need new methods for the analysis of vehicle trajectories. The extraction of road information from vehicle trajectory data is one of the focuses in the field of geographic information. In this paper, we proposed two vehicle trajectory extraction methods, a fast vehicle trajectory extraction method based on GPS points and a vehicle trajectory extraction method based on the field of view. First, we gave a problem definition for the video trajectory display method. Then we expounded on the field of view of the Geo-referenced video [1] and its related information. The first method connects the location points, and each segment of the trajectory line indicates the current driving direction of the vehicle. The other method introduces the concept of perspective on this basis. It not only shows the direction of the trajectory line but also extracts the perspective of keyframes to accurately describe the trajectory of the vehicle. Next, we used a time and distance-based spatiotemporal clustering algorithm to extract points and demonstrate them through experimental results. We visualized the extracted vehicle trajectories and displayed them on a map. Finally, we compared the efficiency and accuracy of the traditional vehicle trajectory extraction method and the two methods proposed in this paper. The results showed that the vehicle trajectory extraction methods proposed in this paper are superior to the traditional vehicle trajectory display method in accuracy.","PeriodicalId":196955,"journal":{"name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116576488","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

Genome-Wide Association and Interaction Study on Quantitative Traits of CSF Phosphorylated Tau in ADNI cohort ADNI患者脑脊液磷酸化Tau蛋白数量性状的全基因组关联及相互作用研究

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546008

Dandan Chen, Jin Li, Hongwei Liu, L. Ao, Qiushi Zhang

{"title":"Genome-Wide Association and Interaction Study on Quantitative Traits of CSF Phosphorylated Tau in ADNI cohort","authors":"Dandan Chen, Jin Li, Hongwei Liu, L. Ao, Qiushi Zhang","doi":"10.1145/3546000.3546008","DOIUrl":"https://doi.org/10.1145/3546000.3546008","url":null,"abstract":"Alzheimer's disease (AD) is a most common and particularly complex neurodegenerative disease commonly characterized by a progressive decline in cognition and memory impairments. CSF Aß42 and tau levels have emerged as useful biomarkers for disease and Quantitative Traits (QTs) for genetic studies of AD. In this study, CSF Phosphorylated Tau (P-tau) were used both in genome-wide association studies (GWAS) and genome-wide interaction study (GWIS) as QTs. The GWAS results shows that genes identified by Total Tau (T-tau), also have been replicated on QTs of P-tau, and a new GWAS loci of rs157582 have been identified by GWAS of CSF P-tau. The three genes of APOE, APOC1, and TOMM40 identified by p-Tau in this GWAS are previously confirmed AD susceptibility genes, while our GWAS have replicated them. Therefore, we may argue that QTs of P-tau is more sensitive and more significant than tau. This also indirectly proves the view of P-tau may be a more specific marker than T-tau for AD. Furthermore, the results demonstrate that the data, phenotypes, quality control methods and GWAS method we used to be rationality and validity, which making the subsequent GWIS based on this data more meaningful. In GWIS, 8 pairs of SNPs showed significant interaction effects on the CSF P-tau (corrected p-value <0.05). These 8 pairs of SNPs revealed by GWIS codes from 8 novel genes. Among them, NAT1, ST18, CTNNA2 and IMMP2L have been reported as AD risk genes. NCKAP5, LHFPL3, PRLHR are related to schizophrenia (SCZ). And the gene of AOAH go unreported be related to AD or SCZ. All the work illustrates the plausibility of T-tau as QTs on our dataset, while we also found more significant SNPs by GWIS, which can be used as an effective supplement when AD risk loci cannot be identified by GWAS. The 8 pairs of SNP interactions findings warrant replication and can be used for the analysis of other complex diseases.","PeriodicalId":196955,"journal":{"name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128991630","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 Energy Balance Ant Colony Routing Algorithm for WSN 一种用于WSN的能量平衡蚁群路由算法

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546006

Wei-hong Zhu, Lu-ying Xie

引用次数: 1

Research on used car valuation problem based on model fusion 基于模型融合的二手车估价问题研究

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546009

Guozheng Liu, Haoxiang Chu, Ye Zhang, Huiling Shi

{"title":"Research on used car valuation problem based on model fusion","authors":"Guozheng Liu, Haoxiang Chu, Ye Zhang, Huiling Shi","doi":"10.1145/3546000.3546009","DOIUrl":"https://doi.org/10.1145/3546000.3546009","url":null,"abstract":"In recent years, with the rapid development of the automobile industry, the trading volume of second-hand cars in our country has grown rapidly. However, with the continuous expansion of the second-hand car market, a scientific and reasonable evaluation system or unified standard has not yet been formed in the second-hand car market, which makes the second-hand car trading market lack credibility and restricts its development of the second-hand car trading market. Therefore, it is particularly important to establish a reasonable and perfect second-hand car valuation method. In this paper, GBDT, LightGBM, and XGBoost models are introduced into the field of the used car valuation, and by analyzing the influence of body infrastructure and vehicle conditions, a used car valuation model based on the fusion of GBDT, LightGBM, and XGBoost is constructed. Then it conducts in-depth analysis and research on the problem of used car valuation. At the same time, to verify the advantages and rationality of the model proposed in this paper, the used car valuation model based on the fusion of GBDT, LightGBM and XGBoost is compared and analyzed with random forest, KNN, linear regression, and other models. Finally, after verification, the proposed model based on GBDT, LightGBM, and XGBoost fusion can significantly improve the prediction accuracy, and under the self-defined model evaluation standard in this paper, the model recognition accuracy is up to 89%, which has good practical value.","PeriodicalId":196955,"journal":{"name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121636379","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

Research on Medical Image Classification Based on Image Segmentation and Feature Fusion 基于图像分割和特征融合的医学图像分类研究

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546023

Li-Qin Kong, Zhiyuan Ren, Yan Zhou, Wei Ding, Ji-Hong Cheng

{"title":"Research on Medical Image Classification Based on Image Segmentation and Feature Fusion","authors":"Li-Qin Kong, Zhiyuan Ren, Yan Zhou, Wei Ding, Ji-Hong Cheng","doi":"10.1145/3546000.3546023","DOIUrl":"https://doi.org/10.1145/3546000.3546023","url":null,"abstract":"Pneumonia has always been the leading infectious disease leading to the death of children under five years old. X-ray images of the lungs have become the key to the diagnosis of this disease. If computer-aided medical diagnosis is used to automatically detect lung abnormalities, the accuracy of the diagnosis will be improved.This article aims to introduce a deep learning technology based on the combination of image segmentation and feature fusion, which can realize automatic diagnosis of patients with pneumonia in X-ray images. First, use residuals to achieve image segmentation to more accurately divide the lung area. Secondly, the Xception network is used to extract the in-depth features of the data, and the extracted features are passed to the LSTM model to detect the extracted features, and classify the two cases of pneumonia and no pneumonia. This research combines Pearson's feature selection ideas and fuses the correlation between the two loss functions. Experimental results show that the accuracy of this paper is 98%, and the accuracy of AUC is 99%. Compared with the existing technical methods, the accuracy of the model designed in this paper is greatly improved. The model we designed has achieved excellent. experimental results on the currently available data sets. I hope our research can help doctors in the detection of pneumonia in children.","PeriodicalId":196955,"journal":{"name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115042674","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

Research on charging control of battery pack in low temperature environment 低温环境下电池组充电控制研究

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546028

Chao Liu, R. Zang, Ying Xin, Yu Wang

引用次数: 0

Performance Optimization of Sparse Deep Neural Networks Based on GPU 基于GPU的稀疏深度神经网络性能优化

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546011

Yucheng Shi, Long Ren

引用次数: 0

Road Bump Outlier Detection of Moving Videos Based on Domestic Kylin Operating System 基于国产Kylin操作系统的运动视频路面颠簸异常点检测

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546021

Yingjie Chen, Mengru Ma, Qingbin Yu, Zhongxin Du, Wei Ding

引用次数: 1

Searching Top-K Similar Moving Videos 搜索Top-K相似的移动视频

Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications Pub Date : 2022-06-23 DOI: 10.1145/3546000.3546026

Wei Ding, Qingbin Yu, Zhongxin Du, Mengru Ma, Yingjie Chen

{"title":"Searching Top-K Similar Moving Videos","authors":"Wei Ding, Qingbin Yu, Zhongxin Du, Mengru Ma, Yingjie Chen","doi":"10.1145/3546000.3546026","DOIUrl":"https://doi.org/10.1145/3546000.3546026","url":null,"abstract":"The application of sensors enables mobile devices to generate amounts of content-aware data, such as trajectory, gyro, and video data. Moving video is an emerging new type of moving object that can provide a potential source for geo-referenced applications. Measuring the similarity of moving videos is widely used in traffic management, tourist recommendations, and location-based advertising. Our prior work proposed two similarity measures, the Largest Common View Subsequences can accurately calculate similar moving videos, and the View Vector Subsequences can fast calculate similar moving videos. In this paper, we proposed the searching top-k similar moving videos (K-SSMV). First, we give the problem definition of searching top-k similar moving videos. Then, we illustrated the strategy of searching for moving videos. Specifically, we sorted the video pairs by the most similar videos. Since the similar videos would be less than k, we first calculated the similarity of moving videos by the Largest Common View Subsequences algorithm, if the number of similar videos is less than k, we will adopt the View Vector Subsequences algorithm to compute the similarity of moving videos. Next, we mixed the candidate videos calculated by the Largest Common View Subsequences and the View Vector Subsequences algorithms, the searching top-k similar moving videos algorithm picked the top-k similar videos from candidate videos. Finally, we evaluated the performance of our proposed algorithms on the accuracy and computational cost. The experiments verified that our algorithms can efficiently search top-k similar moving videos.","PeriodicalId":196955,"journal":{"name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129628340","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