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2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)最新文献

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A Multi-Task Deep Model for Protein-Ligand Interaction Prediction 蛋白质-配体相互作用预测的多任务深度模型
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991464
Jiaxin Jiang, F. Hu, Muchun Zhu, P. Yin
{"title":"A Multi-Task Deep Model for Protein-Ligand Interaction Prediction","authors":"Jiaxin Jiang, F. Hu, Muchun Zhu, P. Yin","doi":"10.1109/ICIIBMS46890.2019.8991464","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991464","url":null,"abstract":"Development of a new approval drug costs more than 2 billion dollars. Identification of protein-ligand interaction in silico actually reduces the cost of drug discovery. Recently, several methods based on deep learning have gained impressive performance on protein-ligand binding prediction. However, these methods only used a few datasets and thus focused on either classification (protein-ligand bind or not) or regression (protein-ligand binding affinity) task. The robustness and applicability of these models have been limited. In this paper, we propose a novel multi-task model for predicting protein-ligand interaction. Taking sequence data with different types of labels as input, the model can perform classification and regression task simultaneously. The results indicate the multi-task model achieves good performance on both classification and regression tasks after training on heterogeneous databases with different supervised information.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122569871","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: 1
A LLC Resonant Full - bridge Converter with Fractional Order PID Controller* 带有分数阶PID控制器的LLC谐振全桥变换器*
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991548
Ziyu Zhao, Jian Zong
{"title":"A LLC Resonant Full - bridge Converter with Fractional Order PID Controller*","authors":"Ziyu Zhao, Jian Zong","doi":"10.1109/ICIIBMS46890.2019.8991548","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991548","url":null,"abstract":"This paper takes the controller of the LLC Resonant Full Bridge Converter as the design object. Firstly, using Extension Describing Function (EDF) to establish small-signal model of the converter and calculating the transfer function of the system to design the PID controller. Then the Particle Swarm Optimization (PSO) algorithm is used to tune PID parameters for the optimization control of the LLC Resonant Converter and verified by simulation, result showed that the system with PID controller has insufficient dynamic response ability and large ripple of the output voltage. So secondly, the Fractional Order PID (FOPID) controller is applied to the converter, using the same method to tune FOPID parameters. Finally, the simulation verified that using FOPID controller the converter has less ripple of the output voltage and it could supply with faster dynamic response, and the response speed might close to 2-4 times comparing with PID controller, so it can be applied to the occasions with large load change rate.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126749651","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: 4
Power analysis of eddy current brake system applied on small-scaled wind turbine for dc greenhouse 直流温室小型风力发电机涡流制动系统功率分析
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991519
Anupa Koswatta, Shiroma Yasusi, S. Tamaki, Faramarz Alsharif, J. Tamura
{"title":"Power analysis of eddy current brake system applied on small-scaled wind turbine for dc greenhouse","authors":"Anupa Koswatta, Shiroma Yasusi, S. Tamaki, Faramarz Alsharif, J. Tamura","doi":"10.1109/ICIIBMS46890.2019.8991519","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991519","url":null,"abstract":"This study is to supply power to the DC greenhouse through a small-scaled wind turbine, based on eddy current brake system. The load supplied to the greenhouse system is a variable. Also a wind input pattern is used to analyze the wind turbine output power behavior. The simulation duration is one day and three phase power is supplied to the DC greenhouse through a converter. As a result of this study we are expecting to obtain a stable output power respond to the DC greenhouse.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130323908","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: 2
Environmental monitoring data storage system based on consortium blockchains 基于联盟区块链的环境监测数据存储系统
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991539
Song Zhili, Zhang Guimin
{"title":"Environmental monitoring data storage system based on consortium blockchains","authors":"Song Zhili, Zhang Guimin","doi":"10.1109/ICIIBMS46890.2019.8991539","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991539","url":null,"abstract":"In traditional environmental monitoring system, the monitoring data adopts centralized storage management, and there is a possibility that the server is maliciously damaged or data is tampered with, and security and authenticity of the data cannot be guaranteed.In order to solve the problem that traditional environmental monitoring system cannot guarantee security and authenticity of the monitoring data, using characteristics of decoupling, trust and non-tampering of blockchain technology, a data storage system based on the consortium blockchain is proposed to achieve secure storage of monitoring data. And design interactive web pages, providing a visual web interface for operators to access consortium blockchain system, simplifying the operation process.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131770135","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: 3
Driver's EEG Eye Movement Fatigue Detection Based on CMAC* 基于CMAC*的驾驶员脑电眼动疲劳检测
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991546
Wu Xiaoyu, Cang Nai-meng, Y. Wan-jun, Wang Zi-chen, Zhao Huai-lin, Li Jia-lan
{"title":"Driver's EEG Eye Movement Fatigue Detection Based on CMAC*","authors":"Wu Xiaoyu, Cang Nai-meng, Y. Wan-jun, Wang Zi-chen, Zhao Huai-lin, Li Jia-lan","doi":"10.1109/ICIIBMS46890.2019.8991546","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991546","url":null,"abstract":"This paper mainly studies the EEG signals, eye movement signals, ECG signal analysis under natural humancomputer interaction and the fusion of multiple information sources to generate decision signals to judge whether the driver is fatigued or not. It is mainly used to automatically monitor the driver’s mental state in real time while the vehicle is running. Alerts when the driver just shows signs of fatigue. Forced deceleration or even forced parking in the event of a dangerous situation. The analysis of EEG signals mainly includes EEG signal acquisition, feature extraction and classification. The analysis of eye movement signals mainly includes face detection, human eye positioning, pupil and eye angle detection, etc. Integration and implementation mainly include the integration of multiple information sources, decision signal transmission, and fatigue driving monitoring system design.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134091809","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: 1
Kinematic Metrics for Upper-limb Functional Assessment of Stroke Patients 脑卒中患者上肢功能评估的运动学指标
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991507
Bo Sheng, Xiangbin Wang, S. Xiong, Meijin Hou, Yanxin Zhang
{"title":"Kinematic Metrics for Upper-limb Functional Assessment of Stroke Patients","authors":"Bo Sheng, Xiangbin Wang, S. Xiong, Meijin Hou, Yanxin Zhang","doi":"10.1109/ICIIBMS46890.2019.8991507","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991507","url":null,"abstract":"Upper-limb functional assessment is important for stroke treatment. The identification of sensitive kinematic metrics that best differentiate the impairment level of upper-limb motor function can enhance this assessment. Therefore, this research proposed a method to select sensitive kinematic metrics which can discriminate between stroke patients and healthy subjects. A total of 26 participants (10 healthy subjects and 16 stroke patients) were recruited to perform upper-limb reaching movements. The movement data was measured using Kinect v2. Thirty-two metrics were then extracted. Independent samples T-test, Mann-Whitney U-test and principal component analysis were performed to select sensitive metrics. Experimental results show that the first principal component explained 54.67% of the total variance, and it can distinguish stroke patients from healthy subjects. Meanwhile, loading values of index of curvature and spectral arc-length were 0.895 and 0.831 respectively, which contributed most for the first principal component. Therefore, we concluded that the sensitive metrics were index of curvature and spectral arc-length, which had significant importance to differentiate stroke patients from healthy subjects.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132982194","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: 4
Vehicle detection method based on ADE-YOLOV3 algorithm 基于ADE-YOLOV3算法的车辆检测方法
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991497
Y. Liu, Guoqing Zhang, Yuanyuan Zhang
{"title":"Vehicle detection method based on ADE-YOLOV3 algorithm","authors":"Y. Liu, Guoqing Zhang, Yuanyuan Zhang","doi":"10.1109/ICIIBMS46890.2019.8991497","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991497","url":null,"abstract":"Aiming at the problem of repeated detection of YOLOV3 algorithm in vehicle detection, the ADE-YOLOV3 vehicle detection algorithm is proposed. The algorithm uses K-means clustering algorithm to determine the number of target candidate frames and aspect ratio according to the inherent width and height characteristics of the vehicle. Then, according to the results obtained by clustering, the anchor parameters are reset, which makes the ADE-YOLOV3 network have certain pertinence in vehicle detection. Finally, the migration learning method is used to improve the network structure, and the optimal weight model is obtained, which improves the training precision of the model. The experimental results show that compared with the original YOLOV3 method, the mAP is increased from 91.4% to 95%, the repeated detection rate is reduced from 5.6% to 2.1%, and the detection speed by 50fps. The detection accuracy is improved and the problem of repeated detection is effectively avoided.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121440709","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: 3
Remote Sensing Image Registration Based on Spatial Transform Network and Phase Correlation Method 基于空间变换网络和相位相关方法的遥感图像配准
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991540
Chen Ying, Chen Heng-shi, L. Guoqing
{"title":"Remote Sensing Image Registration Based on Spatial Transform Network and Phase Correlation Method","authors":"Chen Ying, Chen Heng-shi, L. Guoqing","doi":"10.1109/ICIIBMS46890.2019.8991540","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991540","url":null,"abstract":"Remote sensing image registration technology can weaken or even eliminate image position, size difference and deformation caused by imaging equipment, viewing angle and other influencing factors. It has been widely used in urban planning, ecological monitoring and land management. In this paper, the spatial transformation network(STN) model is used to extract the image features and train to obtain the affine transformation coefficients, so that the image to be registered can be adaptively transformed with reference to the coefficients to achieve the initial registration purpose. In order to obtain a more accurate registration effect, we use the phase correlation algorithm to calculate the phase shift of the frequency domain in the frequency domain caused by the translation of the two image spaces in the initial correction result. Then the relative motion vectors of the two images are obtained, and the entire registration phase is finally completed.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130362826","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: 1
Design of ATO speed controller based on super-twisting algorithm 基于超扭转算法的ATO速度控制器设计
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991488
Haigang Zhang, Yang Yang
{"title":"Design of ATO speed controller based on super-twisting algorithm","authors":"Haigang Zhang, Yang Yang","doi":"10.1109/ICIIBMS46890.2019.8991488","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991488","url":null,"abstract":"In the process of ATO speed control of urban rail train based on traditional PID control, train speed fluctuation was too frequent, train speed curve was not smooth enough, which caused more energy consumption and affects passenger comfort. Now the second-order sliding mode based on super-twisting algorithm is applied to ATO speed controller. The results showed that the algorithm was superior to the traditional PID control algorithm. It had the characteristics of fast response, small overshoot, good stability, and good adaptability when working conditions changed.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131480509","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 image processing method for characterizing diffusivity in brain’s parenchyma: a case study of significantly non-uniform structures 表征脑实质弥漫性的图像处理方法:以显著非均匀结构为例
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991518
E. Postnikov, D. Postnov
{"title":"An image processing method for characterizing diffusivity in brain’s parenchyma: a case study of significantly non-uniform structures","authors":"E. Postnikov, D. Postnov","doi":"10.1109/ICIIBMS46890.2019.8991518","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991518","url":null,"abstract":"We present a simple method, based on the principle of diffusion imaged processing, for revealing the type and quantitative characteristic of transport processes in brain tissue from fluorescent microscopy data. We consider a general form of the diffusion kernel, which covers both normal and hindered anomalous diffusion in media with complex microstructure as well as its practical correlation-based implementation. Our method overcomes restrictions of the conventional methods, which require extracting small areas with a high degree of symmetry and allows to process the large scale images, when solute leakage sources are distributed along the branched vascular structure.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131780109","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: 2
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