2022 2nd International Conference on Bioinformatics and Intelligent Computing最新文献_第2页

Sparse Reconstruction of Magnetic Resonance Images based on Dictionary Learning: Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings 基于字典学习的磁共振图像稀疏重建:准备对sciitepress会议录的相机准备贡献

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524602

Penghui Zeng, Kun Zhang, Chong Shen

{"title":"Sparse Reconstruction of Magnetic Resonance Images based on Dictionary Learning: Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings","authors":"Penghui Zeng, Kun Zhang, Chong Shen","doi":"10.1145/3523286.3524602","DOIUrl":"https://doi.org/10.1145/3523286.3524602","url":null,"abstract":"Abstract: Magnetic resonance imaging (MRI) has many advantages, such as no radiation damage to human body, high resolution and many imaging parameters. Therefore, magnetic resonance imaging technology is of great significance in the field of clinical medicine. Especially in brain imaging, because brain imaging requires high non-destructive, as long as there is a little difference in imaging results, it will cause errors in medical diagnosis. The sparse reconstruction process of MRI is based on the over complete dictionary, which has certain sparse characteristics. The main content of this paper is to K-SVD dictionary learning algorithm as the core framework, and in the process of MRI reconstruction using this algorithm. We regard dictionary learning as an equivalent process to find the optimal solution, and the learned dictionary has the core characteristics of the original data. At this time, the dictionary we get can obtain the optimal sparse representation, and reconstruct the original image through the algorithm. The experimental results show that our reconstruction results can well preserve the details of the image and obtain relatively high PSNR value.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130654860","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

Study on low temperature oxidation and high temperature pyrolysis characteristics of coal spontaneous combustion with different oxygen concentration 不同氧浓度下煤自燃低温氧化和高温热解特性研究

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524519

X. Liu, Xiangyang Zhang, Jiamin Wen, Biao Kong, Date Fei, Xu Wang, Zhihao Wang

{"title":"Study on low temperature oxidation and high temperature pyrolysis characteristics of coal spontaneous combustion with different oxygen concentration","authors":"X. Liu, Xiangyang Zhang, Jiamin Wen, Biao Kong, Date Fei, Xu Wang, Zhihao Wang","doi":"10.1145/3523286.3524519","DOIUrl":"https://doi.org/10.1145/3523286.3524519","url":null,"abstract":"The oxygen concentration in the environment of the residual coal in the underground goaf is not uniform. The study on the characteristics of low temperature oxidation and high temperature pyrolysis of coal under different oxygen concentrations is of great significance to prevent the spontaneous combustion of the residual coal in the goaf. Based on this, this paper studies the generation of O2, CO, C2H4 and C2H6 gases during coal low temperature oxidation at 21%, 15% and 5% oxygen concentrations, and compares the oxygen consumption rate at different temperatures. The weight loss characteristics and characteristic point temperature of coal pyrolysis at high temperature under different oxygen concentrations were further studied, and the influence mechanism of different oxygen concentrations on coal spontaneous combustion characteristics was finally revealed. The results show that in the three oxygen concentration experiments, the decrease of oxygen concentration will lead to the decrease of CO, C2H4 and C2H6 concentrations generated in the low temperature oxidation process of coal, and the oxygen consumption and oxygen consumption rate are significantly reduced, and the temperature at the intersection is significantly increased. The decrease of oxygen concentration will lead to the decrease of mass loss percentage of coal during high temperature pyrolysis, and the increase of critical temperature and maximum weight loss rate temperature. The decrease of oxygen concentration leads to less active structure in coal involved in the coal-oxygen composite reaction, which inhibits the coal-oxygen composite reaction.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132484165","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

Correlation analysis of blood lipid metabolism level and breast cancer based on information system health data 基于信息系统健康数据的血脂代谢水平与乳腺癌的相关性分析

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524521

Yong-min Feng

{"title":"Correlation analysis of blood lipid metabolism level and breast cancer based on information system health data","authors":"Yong-min Feng","doi":"10.1145/3523286.3524521","DOIUrl":"https://doi.org/10.1145/3523286.3524521","url":null,"abstract":"Abstract—Breast cancer was the highest incidence of malignant tumors in women, and it was also the leading cause of cancer deaths in women worldwide. In order to explore the relationship between blood lipid metabolism and breast cancer, this study adopted the method of obtaining medical health data through the hospital information system. 616 breast cancer patients who went to the hospital at the same time were selected as the experimental group, and 547 physical examination populations were used as the control group. Statistical software was used to analyze the correlation between the two groups of blood lipid testing data. Studies have found that the serum total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, apolipoprotein AI and apolipoprotein B of breast cancer patients were significantly lower than those of healthy people on physical examination. This study used the medical health data of the information system to verify that the blood lipid metabolism level of breast cancer patients was significantly lower than that of the normal population. The blood lipid metabolism level can be used as a screening index to identify breast cancer and can assess the occurrence and development of breast cancer.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123342213","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

Initial Results of CT Volume Metal Artifacts Reduction based on 3D U-net 基于三维U-net的CT体积金属伪影还原初步结果

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524572

Linlin Zhu, Yu Han, Xiaoqi Xi, Lei Li, Bin Yan

{"title":"Initial Results of CT Volume Metal Artifacts Reduction based on 3D U-net","authors":"Linlin Zhu, Yu Han, Xiaoqi Xi, Lei Li, Bin Yan","doi":"10.1145/3523286.3524572","DOIUrl":"https://doi.org/10.1145/3523286.3524572","url":null,"abstract":"Computed tomography (CT) allows rapid acquisition of information about the internal three-dimensional (3D) structure of the scanned object. However, when the scanned object contains metal implants, it will result in metal artifacts in the reconstructed images. Metal artifacts seriously interfere with the analysis and judgment of CT images. To solve the problem of metal artifacts in CT volumes, this paper introduces 3D U-net into the metal artifact reduction of CT volume data. The 3D convolution in 3D U-net can make full use of the spatial and structural information of CT volumes, and can better maintain the internal structural information based on effectively reducing the metal artifacts. The direct processing for 3D data can improve the stability and continuity of the corrected image in all dimensions. After artifact reduction for 3D data, the information of arbitrary spatial coordinate points in the image can be obtained more accurately and effectively. To verify the performance of the algorithm, experiments were conducted using medical datasets. The results show that the method in this paper can effectively suppress metal artifacts while obtaining better stability and continuity in all dimensions.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"544 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123367236","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 empirical study on the Relationship between Industrial Structure and Carbon Trading Market in Jiangsu Province 江苏省产业结构与碳交易市场关系的实证研究

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524596

Yaqian Song, Shujing Cao, Qingyu Li, H. Liang

引用次数: 0

Calculation of hydrogeological parameters and valuation of groundwater quality in Dongwudou Village, Laiwu District 莱芜区东五斗村水文地质参数计算及地下水水质评价

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524561

Z. Wang, Yonghui Meng, Yuan Xu

引用次数: 0

Modeling and Simulation of Temperature Fields in the Process of Pressure-Difference Precooling of Loquats in Multiple Rows of Cartons 多排纸箱枇杷压差预冷过程温度场的建模与仿真

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524590

Siyao Sui, Yuning Wang, Jiajia Ma, Lingxiang Sun, Gui-Li Huang, Jiazheng Li

{"title":"Modeling and Simulation of Temperature Fields in the Process of Pressure-Difference Precooling of Loquats in Multiple Rows of Cartons","authors":"Siyao Sui, Yuning Wang, Jiajia Ma, Lingxiang Sun, Gui-Li Huang, Jiazheng Li","doi":"10.1145/3523286.3524590","DOIUrl":"https://doi.org/10.1145/3523286.3524590","url":null,"abstract":"Experiments were carried out to verify the design for loquat precooling, including the air supply velocity, the shape of air vents and the piling of cartons, so as to create valuable theoretical reference. Five-layer corrugated cartons for loquats were used in the study, and the methodologies adopted include computational fluid dynamics, unsteady shear pressure and the SST k-ω model. Under the same initial conditions and boundary conditions, different parameters were compared in theory and verified through experiment, including temperature field distribution among multiple rows of cartons, cooling time, average rate of cooling and uniformity. Results: the temperature changes observed in experiments tally with modeling results, which validates the theoretical model. The precooling of multiple rows of loquat cartons is not a simple superposition of multiple cooling processes for cartons positioned in one row. 2.5m/s is an ideal rate of air supply velocity. For multiple rows of cartons, circle vents would improve the uniformity, while runway circle vents induce hot spots. Therefore, for loquat precooling, it is highly recommended to use flat cartons with circle vents and to position the cartons in less rows.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132245961","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

Breast cancer drug toxicity prediction Based on AdaBoost Extremely Random Tree 基于AdaBoost极随机树的乳腺癌药物毒性预测

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524506

Ziyu Fan, Shuyue Wang, Zhijun Li, Zhong-Yue Xie

引用次数: 0

Eliminating UWB Self Positioning Error Based on Kalman Filter Algorithm 基于卡尔曼滤波算法的超宽带自定位误差消除

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524544

Yan-hua Zeng, Shaodong Shen

引用次数: 0

Research on the Application of BIM in Building Engineering Management Based on 3 D Model 基于三维模型的BIM在建筑工程管理中的应用研究

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI: 10.1145/3523286.3524607

Yuanchao Yao, Hu Qiongjing

引用次数: 0