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2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)最新文献

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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
Hyungkwan Kwon, Kyunghyun Lee, K. You
In recent years, the interest in unmanned aerial vehicles (UAVs) has been increasing around the world. These vehicles are used in various applications from military operations to civilian tasks. Quadrotor, also called as a quadcopter, is one of the different types of UAVs. Quadrotor can fly more stable than helicopter and the flight control is more convenient. In UAVs, the most basic and salient point is the attitude control for stability. This paper estimates quadrotor's attitude by extended Kalman filter (EKF) and presents the design procedure of a sliding mode control (SMC) to focus on stabilization. The performance and effectiveness of the proposed system are verified through a simulation study.
近年来,世界各国对无人机的兴趣日益浓厚。这些车辆用于从军事行动到民用任务的各种应用。四旋翼飞行器,也被称为四旋翼飞行器,是不同类型的无人机之一。四旋翼飞行器比直升机飞行更稳定,飞行控制更方便。在无人机中,最基本和最突出的问题是稳定的姿态控制。本文利用扩展卡尔曼滤波(EKF)对四旋翼飞行器的姿态进行估计,并给出了滑模控制(SMC)的设计过程,以实现飞行器的稳定。通过仿真研究验证了该系统的性能和有效性。
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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
K. Sirikasemsuk, K. Leerojanaprapa
A balanced incomplete block design (BIBD) is the effective way to help analyze a treatment variable and one block variable under the condition where experimental units are limited. This paper considered the symmetric balanced incomplete block design (SBIBD) with t treatments and t blocks of size t-1. The trouble of analysis is caused if another one missing value unintentionally occurs in the experiments. The SBIBD with another one missing value was analyzed by means of the exact approach, i.e., the general regression significance testing procedure. There was no ready-made formula in the past. Hence, the paper provided the mathematical formulae for the fitted parameters and the regression sum of squares for the full effect model of experimental data.
平衡不完全块设计(BIBD)是在实验单元有限的情况下分析一个治疗变量和一个块变量的有效方法。本文考虑了t个处理和t个大小为t-1的块的对称平衡不完全块设计(SBIBD)。如果在实验中无意中出现另一个缺失值,则会给分析带来麻烦。对另一个缺失值的SBIBD采用精确方法,即一般回归显著性检验程序进行分析。过去没有现成的配方。因此,本文给出了实验数据全效应模型的拟合参数和回归平方和的数学公式。
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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
V. Patanavijit, K. Thakulsukanant
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.
从现代数字图像实现的巨大需求来看,通常需要精确的空间图像,然而观察到的高分辨率设备最终被高估了,因此SRR(超分辨率重建)技术是建立在创建更好的精确空间图像的算术基础上的,是DIP(数字图像处理)和DSP(数字信号处理)社区中现代仔细研究的主题之一。考虑到超膨胀比(16倍),本文旨在提出一种基于鲁棒安德鲁正弦函数的最大似然正则化构成的鲁棒多帧超分辨率(MSRR)和基于高频段频谱评价构成的单帧超分辨率(SSRR)的现代空间增强方法。首先,为了在保留区域边界的同时隐藏离群值,通过鲁棒多帧超分辨率(MSRR)计算捕获的质量较差的图像序列,以4倍的扩展比创建更精细的空间图像。然后,通过高频段频谱评估SSRR(单帧超分辨率)计算放大后的图像,最终生成16倍扩展比的精细空间图像。综合验证结果表明,现代空间增强方法可以生成信息精细化程度更高、离群值更小的16倍空间图像。
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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
Yen-Hsieh Chen, Y. Jou
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.
糖基化是指糖基供体与糖基受体(如蛋白质或脂质)的羟基或官能团相连,形成分支结构的一系列生化和酶的加成作用。越来越多的证据表明,糖基化相关基因(糖基因)的异常表达导致糖基化靶点改变,这在肿瘤的侵袭、迁移、增殖、血管生成和转移等过程中起着重要作用,而所有这些成分都与临床诊断和治疗高度相关。为了更好地了解这些参与肿瘤进展的基因,我们构建了一个数据库OncoDB。结合癌症基因组图谱(the Cancer Genome Atlas, TCGA)数据,展示基于文本挖掘的糖基因语料库,从综合基因组学的角度揭示异常糖基化与肿瘤之间的相互作用。我们首先从OncoDB中发现3026个糖基因的覆盖范围。糖基因包含核苷酸糖转运体、前体或监视伴侣等糖基化的生物合成、代谢和功能参与,无论从途径还是基因本体相似性方面都比其他公共糖基因资源更全面、更独特。为了全面揭示参与癌症的糖基因,我们将TCGA的癌症组学数据(如拷贝数、甲基化、基因表达)与临床特征(即患者生存信息)相结合,并通过友好的网页界面进行图形化和通路网络显示。通过我们的综合努力,我们应该提高我们对糖基化如何参与肿瘤进展的认识,并促进癌症治疗生物标志物的发展。
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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
Qingyuan Tian, Lars-Göran Öfverstedt, Ulf Skoglund Structural Cellular Biology Unit
In electron microscope tomography, alignment of tilt series images is a major determinant of resolution in 3D reconstructions. One alignment method uses gold beads deposited on or in the specimen as fiducial markers. We have developed software to semi-automatically align tilt series images. It runs two processes iteratively: (1) Marker picking. In this process, it uses a cross-correlation function to determine the shift between tilt images and predicts marker coordinates. Subsequently it refines them in a local search area, and detects and corrects erroneously picked markers automatically. The coordinates of the picked markers are used to align the images. (2) Image alignment. In this process, it uses a least squares method to estimate image rotation, image shift, and image scale factor.
在电子显微镜断层扫描中,倾斜序列图像的对齐是三维重建分辨率的主要决定因素。一种校准方法使用沉积在样品上或样品内的金珠作为基准标记。我们已经开发了软件半自动对齐倾斜系列图像。它迭代地运行两个过程:(1)标记挑选。在这个过程中,它使用相互关联函数来确定倾斜图像之间的位移并预测标记坐标。然后在局部搜索区域对其进行细化,并自动检测和纠正错误选取的标记。所选标记的坐标用于对齐图像。(2)图像对齐。在此过程中,使用最小二乘法估计图像旋转、图像移位和图像比例因子。
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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
A. Masumi, Takashi Sato
Cognitive flexibility is the ability to adaptively change behaviors in the face of dynamically changing circumstances. To explore the neural basis and computational account of this ability, a probabilistic reversal learning task was employed as the experimental paradigm. Recent studies suggest that a subject may utilize not only a reward history but also a “state representation” of a task to successfully solve one. However, the specific advantages or impact of state representations in task solving are still not fully understood. In this study, we investigated this matter by computer simulations, in which we used two types of reinforcement learning models, a model with state representations and one without. As a result of the simulations, we found that state representations make a learning agent robust against an increasingly difficult task, especially when the number of sampling time in each state is reduced. Based on the results, we propose a hypothesis for the acquisition process of state representations and discuss the experimental design to test it.
认知灵活性是指在面对动态变化的环境时适应性地改变行为的能力。为了探索这种能力的神经基础和计算解释,我们采用了一个概率反转学习任务作为实验范式。最近的研究表明,受试者可能不仅利用奖励历史,还利用任务的“状态表征”来成功解决一个任务。然而,状态表示在任务求解中的具体优势或影响仍未完全了解。在这项研究中,我们通过计算机模拟调查了这个问题,我们使用了两种类型的强化学习模型,一种是有状态表示的模型,另一种是没有状态表示的模型。通过模拟,我们发现状态表示使学习代理对越来越困难的任务具有鲁棒性,特别是当每个状态的采样时间减少时。在此基础上,我们提出了状态表征获取过程的假设,并讨论了验证该假设的实验设计。
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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
N. Bu, Yoshinori Bandou, O. Fukuda, H. Okumura, K. Arai
In recent years, prosthetic hands for amputees have seen rapid progress while myoelectric prosthetic control is facing a big challenge. It is difficult to control a multi-DOF hand only with electromyographic (EMG) signals to achieve complicated motions and natural and effortless operations, especially in the scenario of practical applications. This study proposes a semi-automatic myoelectric control method combining EMG signals with a vision-based object classifier to control a prosthetic hand. Information of target objects, such as shape features, dimensions, and postures can be obtained from images and then utilized to generate control commands for motors, in conjunction with user's muscle activities via EMG signals. EMG patterns are recognized to represent user's intension of motions. In the meanwhile, EMG power levels are used to modulate motor speed in a proportional manner. Prosthetic hand control experiments have been conducted to verify the proposed method.
近年来,假肢假肢的研究取得了快速的进展,但肌电假肢的控制却面临着很大的挑战。单靠肌电信号控制多自由度手,实现复杂的动作和自然轻松的操作是很困难的,特别是在实际应用场景中。本研究提出了一种结合肌电信号和基于视觉的目标分类器的半自动肌电控制方法来控制假手。从图像中获取目标物体的形状特征、尺寸、姿态等信息,并通过肌电图信号与用户的肌肉活动相结合,生成对电机的控制命令。识别肌电图模式来表示用户的运动强度。同时,肌电功率水平被用来按比例调节电机速度。假手控制实验验证了该方法的有效性。
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引用次数: 11
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
Chris Reinke, K. Doya
Optimization is one of the most important problems in science and engineering. Common optimization algorithms are designed to work for a large set of problems, but not necessarily to be efficient for specific domains. We propose a new transfer learning approach to adapt optimization algorithms to specific problem domains. Our approach analyzes solved problems of a domain to identify areas in the search space where good solutions are expected for this domain. Knowledge of these areas is used to improve the optimization algorithm performance of unseen problems of the same domain. Because of its general design, our method can be applied to a wide range of problems and algorithms.
优化是科学和工程中最重要的问题之一。常见的优化算法是为解决大量问题而设计的,但不一定对特定领域有效。我们提出了一种新的迁移学习方法,使优化算法适应特定的问题域。我们的方法分析一个领域已解决的问题,以确定搜索空间中该领域有望得到良好解决方案的区域。这些领域的知识被用来提高同一领域未见问题的优化算法的性能。由于其通用性设计,我们的方法可以应用于广泛的问题和算法。
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引用次数: 0
Bioinformatic analysis of bacterial composition and metabolic mapping of selectively enriched microbial community within Microbial Fuel Cells 微生物燃料电池中细菌组成的生物信息学分析和选择性富集微生物群落的代谢图谱
L. Szydlowski, V. Fedorovich, I. Goryanin, Askarbek N. Orakov, N. Sakenova, A. Sorokin
Microbial Electrogenic Technology (MET) refers to the common phenomenon of microbial activity that results in either electricity generation, as in the case of Microbial Fuel Cell (MFC) or utilizes applied electricity as in the case of Microbial Electrolysis Cells (MEC). MFCs are emerging technology of energy-efficient wastewater treatment as compared to the commonly applied aerobic methods. The overall efficiency of METs is due to the activity of mature microbial consortia that reach optimum performance over time. Microorganisms colonizing MFCs and MECs are able to either directly transfer/receive electrons from the electrodes or secrete shuttles to facilitate that process.
微生物生电技术(MET)是指微生物活动导致发电(如微生物燃料电池(MFC))或利用应用电力(如微生物电解电池(MEC))的常见现象。相对于常用的好氧法,mfc是一种新兴的高效节能废水处理技术。METs的总体效率是由于成熟微生物群落的活动,随着时间的推移达到最佳性能。定植在mfc和mec上的微生物能够直接从电极转移/接收电子,或者分泌穿梭体来促进这一过程。
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引用次数: 0
Behavioral patterns in security applications 安全应用程序中的行为模式
M. Ogiela, L. Ogiela
In this paper will be presented possible applications of selected behavioral features for security purposes, and cryptography-based solutions. In particular several examples will be described, which present interesting applications of specific behavioral patterns, which may characterize participants of protocols. Personal behavioral patterns may be extracted using new generation cognitive information systems, and obtained features, may be applied in security solutions, or in cryptographic protocols.
本文将介绍为安全目的而选择的行为特征的可能应用,以及基于密码学的解决方案。特别地,我们将描述几个例子,这些例子展示了特定行为模式的有趣应用,这些模式可能是协议参与者的特征。使用新一代认知信息系统可以提取个人行为模式,并且获得的特征可以应用于安全解决方案或加密协议中。
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引用次数: 0
期刊
2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
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