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

{"title":"Pedestrian Detection Based on Improved Interface Difference and Double Threshold with Parallel Structure","authors":"Xie Fu","doi":"10.1109/ICIIBMS46890.2019.8991545","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991545","url":null,"abstract":"In this paper, based on the classical \"two-frame difference method\" and \"three-frame difference method\", an improved pedestrian detection scheme based on \"three-frame difference method\" is proposed. Two improvements were made based on the conventional three-frame difference method. The first is to improve the \"adjacent frame difference method \"of the original three-frame difference to \"three-frame frame mutual difference\", effectively avoiding the influence of pedestrian behavior on the system. The second is to introduce the \"double threshold parallel structure\" to transform the image, which relatively increases the useful information contained in the image, and increases the accuracy of the system.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"28 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":"122455293","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}

{"title":"ICIIBMS 2019 TOC","authors":"","doi":"10.1109/iciibms46890.2019.8991435","DOIUrl":"https://doi.org/10.1109/iciibms46890.2019.8991435","url":null,"abstract":"","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"30 2 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":"122799145","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}

{"title":"Saliency-based image processing for retinal prosthesis","authors":"Jianyun Liu, Yuting Zhang, Haiyi Zhu, Leqi Wang, Yanling Han, Yun Zhang, Jing Wang","doi":"10.1109/ICIIBMS46890.2019.8991487","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991487","url":null,"abstract":"Retinal prostheses with implantable microelectrodes are proposed for neurogenic retinal diseases that currently do not have effective surgical or medical treatments, such as primary age-related macular degeneration (AMD) and retinitis pigmentosa (RP). It is used to replace damaged neurons and electrically stimulate the remaining intact tissue in the visual pathway. However, due to the current biological and technical limitations, the number of implantable electrodes is limited, and the patient who worn by the device can only perceive a limited discrete light spot (known as artificial vision). The visual perception of the subjects is low-resolution and the external information that the prosthesis could provide is largely lost. Therefore, it is a feasible method to introduce appropriate image processing algorithm in the visual information processing module of the prosthetic device to optimize the information expressed by the phosphene array. So far, many image processing algorithms have been studied under the simulated prosthesis vision of retinal prosthesis. However, most image processing algorithms have complex computational processes, and it takes a long time to process an image. If further applied in prosthesis devices, real-time processing cannot be guaranteed. For retinal prosthesis, this paper proposed a saliency-based image processing algorithm for artificial vision optimization. Based on the global luminance contrast of a captured image, a real-time image processing strategy was proposed to obtain a salient map. The algorithm also combined global luminance contrast features in other color spaces like the RGB and HSI. Meanwhile, this paper proposed a \"visual attention simulation processing\" model. The model utilized a Gaussian difference model to adaptively extract the most significant regions in the obtained salient map. It can achieve the effect of suppressing the background while enhancing the foreground, thus effectively extracting the foreground in the image. The proposed algorithm was quantitatively and qualitatively evaluated through two open reference image databases of MSRA-10K and ECSSD-1K. Furthermore, the study selected images in the database of frequently used objects for the blind people on the basis of epidemiological data, and simulated the algorithm on the artificial visual simulation experiment platform to verify its feasibility. The evaluation results and experimental results showed that the proposed algorithm was superior to other current algorithms in extracting image saliency information. It not only can process images in real time but also improve the object recognition efficiency under artificial vision condition in the simulation environment. The above research work would provide a theoretical basis for the image processing algorithm of the retinal prosthesis, and would provide an important experimental basis for the postoperative training for visual function rehabilitation of implant patients. This would help the i","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"106 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":"131713233","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}

{"title":"Improved U-net fundus image segmentation method","authors":"W. Yijie, Li Shixuan, Cao Guogang, Cao Cong, Li Mengxue, Z. Xinyu","doi":"10.1109/ICIIBMS46890.2019.8991481","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991481","url":null,"abstract":"The acquisition of medical images is difficult, and the small amount of data is a huge problem for image analysis. The uniqueness of U-net achieves good results on small samples. In this paper, U-net is used to segment vessels in the fundus image to predict some eye diseases early. The proposed U-net is changed to a seven-layer network from the classic one, and some parameters, such as patch size, are also optimized. The experimental results show that the fundus vessels obtained by this segmentation are very close to the marks, and the precision is better than other methods. The method has great significance for solving the segmentation problem of insufficient medical image data.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"45 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":"127498560","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}

{"title":"Research on Text Classification Method Based on PTF-IDF and Cosine Similarity","authors":"Y. Liu, Qi Xu, Zeshen Tang","doi":"10.1109/ICIIBMS46890.2019.8991542","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991542","url":null,"abstract":"Text classification is a foundational task in many NLP applications. The text classification task in the era of big data faces new challenges. We propose a Promoted TF-IDF (Promoted-TF-IDF) and cosine similarity method for text classification. In our model, with the pre-trained word segmentation tool, we apply PTF-IDF method to judge which words play key roles in text classification to capture the key components in category. We also apply Cosine Similarity algorithm to judge similarity between text and category. We conduct experiments on commonly used datasets. The experimental results show that the proposed method outperforms the state-of-the-art methods on several datasets.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"9 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":"127507158","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}

{"title":"Construction of model for estimating blood pressure using indepednent components of facial skin temperature considering time variation","authors":"Narushi Nakane, K. Nagumo, K. Oiwa, A. Nozawa","doi":"10.1109/ICIIBMS46890.2019.8991523","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991523","url":null,"abstract":"The objective of this study was to construct a non-contact technique for measuring blood pressure (BP) In our previous study, a model for estimating BP by applying independent component analysis to facial skin temperature, was cobstructed. This study, however, had not considered time variations of facial skin temperature. It is assumed that there is a relationship between facial skin temperature and blood flow over time, as blood is able to produce heat. It is expected, therefore, that the accuracy of the BP estimation model can be improved by not only using the distribution of the facial skin temperature but also its time variation, which is dependent on blood flow. In this study, a model was constructed for estimating BP using independent components of facial skin temperature and considering the time variation of skin temperature. As a result, the accuracy of the new model was better than existing one.","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":"126666006","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}

{"title":"Research and design of travel insurance system based on blockchain","authors":"Li Jia-lan, Wu Xiaoyu, Y. Wan-jun, Wang Zi-chen, Zhao Huai-lin, Cang Nai-meng","doi":"10.1109/ICIIBMS46890.2019.8991444","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991444","url":null,"abstract":"From the perspective of travel insurance, this paper combines travel insurance and blockchain technology to design a travel insurance system based on blockchain technology. This paper first analyzes the existing problems related to travel insurance, and then further studies the core technologies of blockchain applied in this system, such as equality network, Byzantine consensus mechanism, asymmetric encryption and intelligent contract. Then the model of travel insurance system based on blockchain is established, and the architecture, function and process design of the system are carried out. Finally, the system is evaluated and extended from the single travel insurance to the whole insurance industry, and the combination of block chain technology and insurance industry innovation is summarized and prospected.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"6 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":"123953301","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}

{"title":"Magnetic levitation system based on quadratic optimal control","authors":"Shen Weilong, Ding Zhaohong","doi":"10.1109/ICIIBMS46890.2019.8991536","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991536","url":null,"abstract":"This article mainly discusses the structure and basic principle of magnetic levitation system, by the structure and principle of magnetic levitation system, the nonlinear mathematical model is established and the model was linearized processing analysis of the controllable observability based on this, the system controller design, make the system stable, and select the linear quadratic optimal control to control system, and simulated in MATLAB, the results show that the selection of different QR matrix will be relatively large impact on the results of control performance.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"34 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":"116838625","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}

{"title":"Research on Gesture Based on Genetic Algorithms - Support Vector Machine","authors":"Yulin Gong, Mingjia Hu, Xiaojuan Chen, Yue Sun","doi":"10.1109/ICIIBMS46890.2019.8991504","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991504","url":null,"abstract":"Surface electromyography (sEMG) is a kind of weak electrical signal generated by muscle activity, which contains information of gesture and is widely used in prosthetic control, rehabilitation and medical treatment. The difference between different motion patterns can be reflected by the different sEMG characteristics, so the recognition of human motion can be studied. Four time-domain features including absolute mean value, waveform length, zero-crossing number and root mean square value were extracted from the double Myo arm-ring data set in Ninapro benchmark database. Classification and identification were performed by using the Support Vector Machine (SVM) optimized by Genetic Algorithms (GA). Experimental results showed that the optimized SVM classification had a better effect.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"146 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":"124755161","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}

{"title":"Foot Arch Height Measurement during Gait with Smartphones or Action-cams","authors":"Kosuke Morinaga, S. Ishihara, Ryuji Miyazaki, T. Tsuji, Kotaro Matsuura","doi":"10.1109/ICIIBMS46890.2019.8991538","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991538","url":null,"abstract":"Foot arch problems such as flat foot, high and rigid arch foot are quite common. Such issues cause the decrease of impact absorbance, drops of walk endurance and sense of balance and deformation like Hallux Valgus. Measurements of the detailed movement and deformity of the foot are difficult because of its quickness in gait process. The standard diagnosis had been made at stand-still posture or naked eye observance by a podiatrist.We have developed a computer vision-based bone marker tracking system for Point of Care, that works with common smart-phone or action-cam. With this system, the podiatrist could quantitatively judge problems of bone or joint movement and deformity during gait. The effects of the prescribed insoles are also quantitatively validated with this system. Flatfoot subject showed 10 percent increased the arch angle. High and rigid arch subject shown improvement on reactive control of the arch.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"56 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":"116352163","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}