2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)最新文献_第5页

EKF based sliding mode control for a quadrotor attitude stabilization 基于EKF的四旋翼飞行器姿态稳定滑模控制

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279718

Hyungkwan Kwon, Kyunghyun Lee, K. You

引用次数: 4

Regression sum of squares of symmetric balanced incomplete block design consisting of another one missing observation by accident 由另一个意外缺失观测组成的对称平衡不完全块设计的回归平方和

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279744

K. Sirikasemsuk, K. Leerojanaprapa

引用次数: 1

A modern spatial enhancing method decreed on a robust MSRR and high-frequency synthesized SSRR for ultra-expansion ratio 现代空间增强方法依赖于超膨胀比的鲁棒单抗比和高频合成单抗比

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279728

V. Patanavijit, K. Thakulsukanant

{"title":"A modern spatial enhancing method decreed on a robust MSRR and high-frequency synthesized SSRR for ultra-expansion ratio","authors":"V. Patanavijit, K. Thakulsukanant","doi":"10.1109/ICIIBMS.2017.8279728","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279728","url":null,"abstract":"From the great requisitions of the modern digital image implementations, the refined spatial image is normally desired nevertheless the observed device for high resolution is ultimately overpriced thereby the SRR (Super Resolution Reconstruction) technique, which is founded on the arithmetical establishment for creating the better refined spatial image, is one of the modern scrutinized topics in DIP (Digital Image Processsing) and DSP (Digital Signal Processing) communities. In consideration of ultraexpansion ratio (at 16x), this research article aims to present a modern spatial enhancing method decreed on a robust MSRR (Multiframe Super Resolution), which is constituted on the ML (Maximum Likelihood) regularization with robust Andrew's Sine function, and a SSRR (Single Frame Super Resolution), which is constituted on high-band spectrum appraisement. Initially, for concealing outlier whereas preserving the region border, a sequence of captured images with poor quality is computed by a robust MSRR (Multi-Frame Super Resolution) for creating the better refined spatial image at 4x expansion ratio. Next, this enlarged image is computed by high-band spectrum appraisement SSRR (Single-Frame Super Resolution) for ultimately creating the refined spatial image at 16x expansion ratio. The comprehensive verification outcomes embellish that the modern spatial enhancing method can create the 16x spatial image with better refined information and less outlier.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124678469","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

OncoDB. Glycogene: An integrated cancer genomic database for glycosylation-related genes OncoDB。糖基因:糖基化相关基因的综合癌症基因组数据库

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279701

Yen-Hsieh Chen, Y. Jou

{"title":"OncoDB. Glycogene: An integrated cancer genomic database for glycosylation-related genes","authors":"Yen-Hsieh Chen, Y. Jou","doi":"10.1109/ICIIBMS.2017.8279701","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279701","url":null,"abstract":"Glycosylation by classic définition is a serial biochemical and enzymatic addition that a glycosyl donor attached to the hydroxyl or functional group of glycosyl acceptor, such as protein or lipid, to form a branch structure. Emerging evidences that aberrant expression of glycosylation-related genes (glycogenes) resulting in altered glycosylation targets have been identified its importance in tumor progression including invasion, migration, proliferation, angiogenesis, and metastasis, while all these components are highly correlated with clinical diagnosis and treatment. To facilitate our understanding of such genes participated in tumor progression, we construct a database OncoDB.Glycogene for developing new theranostic targets of cancers and demonstrate our text-mining based glycogene corpus with the combination of The Cancer Genome Atlas (TCGA) data to draw the interaction between abnormal glycosylation with tumor from integrated genomic viewpoints. We first showed that the coverage of 3026 glycogenes from OncoDB.Glycogene are more comprehensive and unique than other public glycogene resources with inclusion of biosynthesis, metabolism and functional participation of glycosylation such as nucleotide sugar transporter, precursors, or surveillance chaperon, from the aspects of pathway or either Gene Ontology similarity. And to comprehensively reveal glycogenes participated in cancers, we integrated cancer omics data such as copy number, methylation, gene expression with clinical features, i.e. patient survival information, from TCGA with user friendly webpage interfaces for graphic and pathway network displays. With our integrative effort we should improve our knowledge how glycosylation engage in tumor progression and facilitate development of theranostic biomarkers of cancers.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121548470","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

Semi-automatically aligned tilt images in electron tomography 电子断层扫描中的半自动对齐倾斜图像

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279738

Qingyuan Tian, Lars-Göran Öfverstedt, Ulf Skoglund Structural Cellular Biology Unit

引用次数: 2

Analyzing the advantages of utilizing state representationsin in a probabilistic reversal learning task 分析了在概率反转学习任务中使用状态表示的优点

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279734

A. Masumi, Takashi Sato

引用次数: 0

A semi-automatic control method for myoelectric prosthetic hand based on image information of objects 一种基于物体图像信息的肌电假手半自动控制方法

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279702

N. Bu, Yoshinori Bandou, O. Fukuda, H. Okumura, K. Arai

引用次数: 11

Integrated biometrics for human identification integrated biometrics 用于人体识别的综合生物识别技术

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279727

Md. Khayrul Bashar

{"title":"Integrated biometrics for human identification integrated biometrics","authors":"Md. Khayrul Bashar","doi":"10.1109/ICIIBMS.2017.8279727","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279727","url":null,"abstract":"The new trend in human biometrie authentication is the development of multi-biometric system, preferably using multi-modal signals. A good strategy could be to combine ECG and EEG because of their liveliness and robustness against falsification. In this study, we propose a multi-biometric authentication method for human identification using signals from low-cost devices. EEG signal is first preprocessed using median and bandpass FIR filter to remove noise and artifacts. The baseline wandering effect of the ECG signals is tackled using median subtraction method. Every half of each signal is divided into segments with 90% overlapping. Multiscale wavelet packet decomposition is then applied to each segment and a feature vector, namely wavelet packet statistics (WPS), is computed. Features from ECG and EEG segments are combined using a feature level fusion technique. The combined feature is finally used to train a supervised error-correcting output code multiclass model (ECOC) using support vector machine (SVM) classifier, which ultimately can recognize humans from the disjoint test EEG segments. A preliminary experiment with 10 EEG records from 10 subjects shows 82.9% F-score of the proposed method.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"89 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836678","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

A stress analysis method for heart rate data of mHealth devices using poincare plot and complex correlation measures 基于庞加莱图和复相关测量的移动医疗设备心率数据应力分析方法

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279715

N. Bu

引用次数: 3

Adaptation of optimization algorithms to problem domains by transfer learning 基于迁移学习的优化算法自适应问题域

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI: 10.1109/ICIIBMS.2017.8279737

Chris Reinke, K. Doya

引用次数: 0