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

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Research on Classification Model of Fermented Milk Quality Control Based on Data Mining 基于数据挖掘的发酵乳质量控制分类模型研究
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991437
Lizhong Xiao, K. Xia, H. Tian
{"title":"Research on Classification Model of Fermented Milk Quality Control Based on Data Mining","authors":"Lizhong Xiao, K. Xia, H. Tian","doi":"10.1109/ICIIBMS46890.2019.8991437","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991437","url":null,"abstract":"Fermented milk has already entered the household as a kind of health drink. With the expansion of the fermented milk market, greater demands are being placed on food producers. Therefore, improving the quality of fermented milk and reducing the customer complaint rate have become the focus of food producers.Artificial sensory evaluation will be affected by your own physical condition, and the qualitative change period sample is not suitable for artificial evaluation. Therefore, the use of electronic instruments for measurement is more efficient than traditional methods, and it is easier to maintain storage, which is conducive to analysis and allows researchers to intuitively judge quality.By establishing random forest model, LR model and AdaBoosting model, we compare the accuracy of these models to find the most suitable classification model. The results show that the method has the ability to recognize the color, aroma, taste and quality of fermented milk.The rate of confirmation is 96.8%. The experimental results show that the expected results are achieved.","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":"130842109","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
Construction of a focused ultrasound neuromodulation system for the treatment of epileptic seizure 聚焦超声神经调节系统的构建治疗癫痫发作
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991534
Minjian Zhang, Rongyu Tang, Lang, Jiping He
{"title":"Construction of a focused ultrasound neuromodulation system for the treatment of epileptic seizure","authors":"Minjian Zhang, Rongyu Tang, Lang, Jiping He","doi":"10.1109/ICIIBMS46890.2019.8991534","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991534","url":null,"abstract":"Ultrasound has been proved to be useful for noninvasively stimulating brain activity and has hope to play a positive role in the treatment of neurological diseases. Epilepsy is a neurological disorder in which brain activity becomes abnormal, causing seizures or periods of unusual behavior, and sometimes loss of awareness. In this paper, we established a focused ultrasound (FUS) neuromodulation system for the treatment of epilepsy. We used the chemically-induced rat epilepsy model to explore the effect of pulsed focused ultrasound on epilepsy, and obtained preliminary experimental results. We have proved the feasibility of this system through experiments, which can be used in the treatment of epilepsy by ultrasound neuromodulation.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"64 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":"132320914","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
Terahertz Spectrum Recognition of Pathogens Based on PCA-Siamese Neural Network 基于PCA-Siamese神经网络的病原体太赫兹频谱识别
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991447
Zeng Wan-dan, Wu Cheng-wei, Shi Ru-jin, Li Qian-xue, Xia Zhi-ping
{"title":"Terahertz Spectrum Recognition of Pathogens Based on PCA-Siamese Neural Network","authors":"Zeng Wan-dan, Wu Cheng-wei, Shi Ru-jin, Li Qian-xue, Xia Zhi-ping","doi":"10.1109/ICIIBMS46890.2019.8991447","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991447","url":null,"abstract":"In the terahertz timedomain spectroscopy technique , 16 c ommon pathogens were experimentally studied and their characteri stics absorption spectra in the frequency range of 0.1 to 2.2THz wer e obtained . The terahertz absorption spectra of 16 common pathog ens were trained and identified by Siamese neural network method . First , the terahertz absorption spectra of the 16 pathogens were re duced by PCA to construct training data . Then , the constructed Si amese neural network model was trained by back propagation . Fin ally , the pathogen measured at different times was used as the targ et spectrum to evaluate the model , after comparing with the trainin g data , the matching absorption spectrum was obtained , and the re cognition rate reached 97.34% . The recognition results fully indica te that the identification of different kinds of pathogens can be reco gnized by Siamese neural network , which provides an effective met hod of the detection and identification of pathogens by terahertz spe ctroscopy .","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":"114251364","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
RGB-D Visual Odometry Algorithm Based on Improved ORB for Indoor Environments 基于改进ORB的RGB-D室内环境视觉里程计算法
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991543
Qianwen Ma, Wenju Li
{"title":"RGB-D Visual Odometry Algorithm Based on Improved ORB for Indoor Environments","authors":"Qianwen Ma, Wenju Li","doi":"10.1109/ICIIBMS46890.2019.8991543","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991543","url":null,"abstract":"Pose estimation and map reconstruction are necessary conditions for autonomous robots. Considering the low positioning accuracy of autonomous robots in indoor environments, this paper presents an RGB-D visual odometry algorithm for indoor environment, which based on an improved ORB. The improved ORB algorithm based on quadtree form is used to extract the features of visual odometry. Then, optimizing camera poses by ICP algorithm. In addition, this paper selects the key frame to obtain higher accuracy of position estimation and constructs a partial map. Experiments demonstrate that the proposed RGB-D visual odometry can obtain accurate and robust estimation results in indoor environments.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"26 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":"114582628","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
Application of vertical switching signal prediction based on ship networking in heterogeneous networks 基于船舶组网的垂直交换信号预测在异构网络中的应用
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991453
Y. Liu, Jing Li
{"title":"Application of vertical switching signal prediction based on ship networking in heterogeneous networks","authors":"Y. Liu, Jing Li","doi":"10.1109/ICIIBMS46890.2019.8991453","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991453","url":null,"abstract":"With the rise of ship networking, in view of the coexistence of many heterogeneous networks, the vertical switching technology of heterogeneous networks is studied, and a vertical signal prediction algorithm is proposed by using grey theory. Through the simulation analysis of MATLAB test, it is verified that the algorithm can effectively improve the accuracy of the prediction signal and is suitable for ship terminals.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"22 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":"133779026","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
Application of Two Improved Particle Swarm Algorithms in a Flexible Assembly Job Shop Scheduling Problem 两种改进粒子群算法在柔性装配作业车间调度问题中的应用
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991525
Xiaoyu Liu, Feng Xiao
{"title":"Application of Two Improved Particle Swarm Algorithms in a Flexible Assembly Job Shop Scheduling Problem","authors":"Xiaoyu Liu, Feng Xiao","doi":"10.1109/ICIIBMS46890.2019.8991525","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991525","url":null,"abstract":"Process planning and scheduling in assembly job shops plays a significant role in enhancing production efficiency and reducing cost of manufacturing systems. However, most existing research on the assembly job shop scheduling problem (AJSSP) is based on assumption that operations are not allowed after the assembly process. Moreover flexibilities in assembly job shop are not fully considered. There are few researches focusing on the flexible assembly job shop which allows operations after assembly. In this paper, a mathematical model is proposed to describe the FAJSSP. To minimize the maximum completion time in the flexible assembly job shop, this paper presents two hybrid algorithms based on particle swarm optimization (PSO), genetic algorithm (GA) and simulated annealing algorithm (SA) called DPSO and IPSO. Numerical experiments are conducted using the realistic production data, and the results of different methods are compared with the realistic completion time.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"78 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":"132833592","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
Investigate of correlation between mango color and sugar content : Classification system by image analysis 芒果颜色与含糖量的相关性研究:图像分析分类系统
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991514
Yasushi Shiroma, I. Nagayama, H. Afuso, S. Tamaki
{"title":"Investigate of correlation between mango color and sugar content : Classification system by image analysis","authors":"Yasushi Shiroma, I. Nagayama, H. Afuso, S. Tamaki","doi":"10.1109/ICIIBMS46890.2019.8991514","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991514","url":null,"abstract":"Mango’s grade is determined by its color and sugar content. However currently it is done by human visually. Visual inspection of grade of mango is human power consuming operation. To this end, the system to classify mangoes by their images has been developed. Traditional system is based on the color histograms of mangoes and thresholding their feature. However traditional research did not validate the assumption that there is correlation between mango’s color, And its sugar content and the assumption is essential for image-based classification approach. To this end, authors showed the evidence that there is some correlation between mango’s color and its sugar content.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"148 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":"127263146","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
Multi-temporal remote sensing image registration based on multi-layer feature fusion of deep residual network 基于深度残差网络多层特征融合的多时相遥感图像配准
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991506
Chen Ying, L. Guoqing, Chen Heng-shi
{"title":"Multi-temporal remote sensing image registration based on multi-layer feature fusion of deep residual network","authors":"Chen Ying, L. Guoqing, Chen Heng-shi","doi":"10.1109/ICIIBMS46890.2019.8991506","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991506","url":null,"abstract":"Image registration is a key technology in remote sensing image processing and application. In the registration of multi-temporal remote sensing images, due to differences in imageing conditions, there are two types of typical anomalies in the image change and relative parallax shift between images, which will affect the registration accuracy. Therefore, this paper proposes an algorithm for multi-temporal remote sensing image registration based on depth residual network. In feature extraction stage, multi-scale descriptors are generated from the advanced convolution information of the trained ResNet50 network layer to improve the quantity and quality of feature point extraction. In the registration stage of point set, the difference of feature is calculated by Bhattacharyya distance, and the mismatched point pairs are eliminated by Random Sampling Consistency Algorithms (RANSAC). Finally, the transformation model of the point set is calculated by using the coordinates of the matching point pairs to achieve accurate registration of multitemporal remote sensing images. The experiment uses image data obtained from Google Earth and Lansat 8 satellites and Baidu Map to test the proposed algorithm, and compares it with two feature-based algorithms (PSO-SIFT and CNN). The experimental results show that the proposed algorithm achieves better multi-temporal remote sensing image registration results.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"218 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":"127931163","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
Research on Robot Path Planning Based on Dijkstra and Ant Colony Optimization 基于Dijkstra和蚁群优化的机器人路径规划研究
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991502
Zhen Nie, Huailin Zhao
{"title":"Research on Robot Path Planning Based on Dijkstra and Ant Colony Optimization","authors":"Zhen Nie, Huailin Zhao","doi":"10.1109/ICIIBMS46890.2019.8991502","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991502","url":null,"abstract":"In this paper, the path planning problem in known environments was studied. According to Dijkstra algorithm and ant colony optimization (ACO), we designed a hybrid algorithm to search the path. Based on the environment model, constructed by using visual graph method, Dijkstra algorithm was used for initial path planning. Then the ACO was improved and used to optimizes the initial path to minimize the path of the robot. The simulation on MATLAB showed that the path planning algorithm based on Dijkstra-ACO has higher efficiency of path search and good effect of path planning. The algorithm is effective and feasible.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"42 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":"129794359","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: 15
Intelligent following suitcase based on single chip control 基于单片机控制的智能跟随箱
2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991524
Lu Yu, Wang Bulai
{"title":"Intelligent following suitcase based on single chip control","authors":"Lu Yu, Wang Bulai","doi":"10.1109/ICIIBMS46890.2019.8991524","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991524","url":null,"abstract":"The design of a STM32 microcontroller based on the core control of the intelligent suitcase, on the basis of ultrasonic ranging can automatically follow the owner, to achieve easy and convenient travel. The suitcase is combined with ultrasonic ranging, real-time tracking objects through ranging module, real-time tracking and detection of tracking objects through the timing control of single chip microcomputer. On the premise of taking up less luggage space as far as possible, it improves people's travel comfort.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"17 Suppl 4 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":"124540520","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
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