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2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)最新文献

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Design of spectrophotometer for neonatal phototherapy 新生儿光疗分光光度计的设计
B. Svobodová, M. Penhaker, V. Kasik, M. Augustynek, J. Kubícek
This paper is dealing with the final assembly of the spectrophotometric instrument and especially with creating of the control and calculation software. The resulting device is primarily intended for measuring phototherapy sources used in neonatal wards in hospitals. On the basis of the measured spectrum (i. e. dependence of the radiation intensity on the wavelength) and other input parameters are calculated spectrometric, radiometric, photometric and colorimetric values by the program.
本文介绍了分光光度仪的总装,特别是控制和计算软件的开发。由此产生的设备主要用于测量医院新生儿病房中使用的光疗源。根据测量的光谱(即辐射强度对波长的依赖性)和其他输入参数,通过程序计算光谱、辐射、光度和比色值。
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引用次数: 2
Mobile application for creating presence lists 用于创建状态列表的移动应用程序
Zuzana Vantová, Ján Paralič, V. Gaspar
This paper presents an application for managing education by creating presence lists. An administration application has also been created in order to allow manipulating with the content of the enumerables in the presence lists. Overviews of possible solutions are presented. Our main motivation was to provide secure and reliable way of evaluating student attendance on specific lectures. In order to accomplish this task, we utilized the NFC technology on a smartphone and student ISIC ID card, the ownership of which is compulsory for every university student at the Technical University of Košice. The application has been implemented for specific conditions at the Technical University of Košice.
本文介绍了一个通过创建在线列表来管理教育的应用程序。还创建了一个管理应用程序,以允许对状态列表中的枚举项的内容进行操作。概述了可能的解决方案。我们的主要动机是提供安全可靠的方法来评估学生在特定讲座上的出勤率。为了完成这项任务,我们在智能手机和学生ISIC身份证上使用了NFC技术,这是Košice技术大学每个大学生都必须拥有的身份证。该应用程序已在Košice技术大学的特定条件下实施。
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引用次数: 6
Parkinson's disease patients classification based on the speech signals 帕金森氏症患者的分类基于语音信号
M. Vadovský, Ján Paralič
Parkinson's disease is the second most frequent neurodegenerative disorder after Alzheimer's disease. There are numerous symptoms among the population suffering from the disease including tremor, slowed movement, impaired posture and balance, and rigid muscles, however dysphonia — changes in speech and articulation — is the most significant precursor. This is the reason why the article is focused on patients classification based on their speech signals. Algorithms C4.5, C5.0, RandomForest and CART were used to generate the decision trees in Rstudio interface. In addition, cut-off values of individual attributes were applied in order to classify the patients. The dataset in the article consists of 40 individuals' records, half of which were affected by Parkinson's disease. Each individual's coverage was represented by several records such as permanent vowels pronunciation, certain words, numbers and sentences. The objective was to determine the most accurate classification model (decision tree) using the individual types of speech signals. Cross-validation method was used for evaluation of models. The highest average model accuracy of 66.5% was obtained for data taken when individuals pronounced the numbers.
帕金森病是仅次于阿尔茨海默病的第二常见的神经退行性疾病。患有这种疾病的人群有许多症状,包括震颤、运动迟缓、姿势和平衡受损以及肌肉僵硬,然而言语和发音障碍是最重要的前兆。这也是本文重点研究基于语音信号的患者分类的原因。在Rstudio界面中使用C4.5、C5.0、RandomForest和CART算法生成决策树。此外,采用个体属性的截止值对患者进行分类。文章中的数据集由40个人的记录组成,其中一半受到帕金森病的影响。每个人的覆盖范围由几个记录表示,如固定元音发音,某些单词,数字和句子。目标是利用语音信号的各个类型确定最准确的分类模型(决策树)。采用交叉验证法对模型进行评价。当个人读出数字时,获得了最高的平均模型准确率66.5%。
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引用次数: 24
Complex network interpretation of European Union economic dynamics 欧盟经济动态的复杂网络解读
Renata-Graziela Boar, A. Iovanovici, H. Ciocarlie
The multitude of events that rapidly take place on the political scene of the whole world have fundamental economic consequences in the development of all countries. Our study combines financial elements which may influence the economic relations that currently exist between the countries of the world and the ones belonging to the European Union in particular. The processing of the high quantity of information is done through complex networks and the graph theory. They reflect the achievement and acceptance of new approaches related to the financial markets, but also to the most important macroeconomic indicator, GDP. Thus, we obtain new tools of analysis through methodological approaches on complex networks which allow numerous geometrical visualizations.
全世界政治舞台上迅速发生的许多事件对所有国家的发展产生了根本的经济影响。我们的研究结合了金融因素,这些因素可能影响世界各国,特别是欧洲联盟国家之间目前存在的经济关系。大量信息的处理是通过复杂网络和图论来完成的。它们反映了与金融市场有关的新方法的成就和接受,也反映了与最重要的宏观经济指标国内生产总值有关的新方法。因此,我们通过对复杂网络的方法学方法获得了新的分析工具,这些方法允许许多几何可视化。
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引用次数: 1
Design and implementation of low-cost intelligent wheelchair controller for quadriplegias and paralysis patient 面向四肢瘫痪患者的低成本智能轮椅控制器的设计与实现
Mohammed Faeik Ruzaij, S. Neubert, N. Stoll, K. Thurow
Wheelchair controller selection is very important for users or patients with disabilities like quadriplegia, paralyzed, amputee and elderly. The comfort, simplicity, and safe use, directly affect their social efficiency and quality of life. In this paper, the design and test of a new low-cost intelligent wheelchair controller for users with disabilities has been proposed. It consists of two main controllers, which are the voice controller and the head tilt controller. The voice controller consists of two voice recognition modules that use dynamic time warping DTW and hidden Markov model HMM to implement the voice recognition. This controller has been tested with three global languages English, German, and Chinese at two different noise levels 42 and 72 dB. The voice controller was tested with a motion command and can be used for other parameters like light, sound alarm, etc. The second controller is the head tilt controller. It uses a sophisticated orientation detection module BNO055 to detect and track the user's head orientation and the wheelchair orientation basing on Euler angles. It has an auto-calibrated algorithm to calibrate the control commands and adjust the speed of the wheelchair motors in case of ascending or descending ramp or when passing non-straight roads. The head tilt controller was tested successfully for indoor and outdoor applications.
轮椅控制器的选择对于使用者或残疾患者如四肢瘫痪、瘫痪、截肢者和老年人非常重要。其舒适性、简洁性和使用安全性,直接影响着他们的社交效率和生活质量。本文提出了一种新型的低成本残疾人智能轮椅控制器的设计与测试。它由两个主要控制器组成,分别是语音控制器和头部倾斜控制器。语音控制器由两个语音识别模块组成,分别使用动态时间规整DTW和隐马尔可夫模型HMM实现语音识别。该控制器已在三种全球语言(英语,德语和中文)下进行了42和72 dB两种不同噪音水平的测试。语音控制器通过运动命令进行了测试,并可用于其他参数,如灯光,声音报警等。第二个控制器是头部倾斜控制器。它采用先进的方向检测模块BNO055,基于欧拉角检测和跟踪用户的头部方向和轮椅方向。它具有自动校准算法,可以在上下坡道或通过非直线道路时校准控制命令并调整轮椅电机的速度。头部倾斜控制器在室内和室外应用中测试成功。
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引用次数: 19
Source code plagiarism detection: The Unix way 源代码抄袭检测:Unix方式
Juraj Petrík, D. Chudá, Branislav Steinmüller
The paper describes similarity detection method for language independent source code similarity detection. It is based on idea of maximum reusability of standard Unix filters. This method was implemented and benchmarked with different datasets from real world (students' assignments) and also synthetic datasets (perfect plagiarism experiment). Our method achieved significantly better results than competitors, which are considered as gold standard in plagiarism detection.
本文描述了一种独立于语言的源代码相似度检测方法。它基于标准Unix过滤器的最大可重用性的思想。该方法使用来自真实世界的不同数据集(学生作业)和合成数据集(完美抄袭实验)来实现和基准测试。我们的方法取得了明显优于竞争对手的结果,这被认为是抄袭检测的金标准。
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引用次数: 7
Linked data generation for courses and events at Óbuda University Óbuda大学课程和活动的关联数据生成
Peter Piros, Rita Fleiner, L. Kovács
Óbuda University wanted to publish public information related to the university in the form of Linked Open Data. Information about subjects, courses, events and teachers are successfully published using the related standards. We had to collect and categorize the sources where information come from; define a way for each category to make these information available; and develop algorithms and softwares to generate the gathered information in form of Linked Open Data. Finally, the automation of the generation process was partly achieved.
Óbuda大学希望以关联开放数据的形式发布与大学相关的公共信息。有关科目、课程、活动和教师的信息成功地使用相关标准发布。我们必须收集和分类信息来源;为每个类别定义一种使这些信息可用的方法;并开发算法和软件,以关联开放数据的形式生成收集到的信息。最后,部分实现了发电过程的自动化。
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引用次数: 2
An evaluation of biometrie identification approach on low-frequency ECG signal 低频心电信号生物特征识别方法的评价
A. Lyamin, Elena N. Cherepovskaya
In order to provide high security level, different identification and verification methods are being used in information systems. A development of the new highly accurate methods are of great interest nowadays. Those methods that analyze biometric signals are becoming more widespread as biometric data can provide hardly forged information about a person. This paper presents the developed biometric identification approach and the results of its evaluation on the ECG data collected during the experimental study.
为了提供较高的安全级别,信息系统采用了不同的识别和验证方法。发展新的高精度方法是目前人们非常感兴趣的。由于生物特征数据很难提供伪造的个人信息,因此分析生物特征信号的方法正变得越来越普遍。本文介绍了开发的生物识别方法及其对实验研究中收集的心电数据的评估结果。
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引用次数: 1
Safe user authentication in a network environment 网络环境下的安全用户认证
Matus Uchnar, J. Hurtuk
Network security is often neglected even by users. This paper deals with user authentication in a network environment and offers analysis of this topic and possibilities how to increase its security by cryptographic methods. A synthetic part provides a detailed description of the design of a simple web application to authenticate users with protection against selected attacks and also its practical implementation in the form of implementation in PHP. In order to perform later testing there is also design and creation of version without protection mechanisms described in this part. The evaluation part contains the results of testing of both applications in order to demonstrate the effectiveness of methods against attacks. One of the benefits of this work is also demonstration of the necessity of appropriate choice of password by user, considering his length and combination of characters from different character sets. Another benefit is also proving, how easy is to perform such attacks as well as how easy is to implement protection against them. Last but not least, another benefit of this work is a comparison of efficiency of two different password cracking methods.
网络安全往往被用户所忽视。本文讨论了网络环境下的用户认证问题,并对该问题进行了分析,提出了用加密方法提高其安全性的可能性。综合部分详细描述了一个简单的web应用程序的设计,通过对选定攻击的保护来对用户进行身份验证,并以PHP实现的形式给出了具体的实现。为了执行以后的测试,还需要设计和创建没有本部分描述的保护机制的版本。评估部分包含两个应用程序的测试结果,以证明方法对抗攻击的有效性。这项工作的好处之一是,也证明了用户适当选择密码的必要性,考虑到他的长度和不同字符集的字符组合。另一个好处也证明了执行这类攻击是多么容易,以及实现针对它们的保护是多么容易。最后但并非最不重要的是,这项工作的另一个好处是比较两种不同的密码破解方法的效率。
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引用次数: 4
Application and properties of the radon transform for object image matching radon变换在目标图像匹配中的应用及性质
Gábor Kertész, S. Szénási, Z. Vámossy
The Radon transform and the reverse formulas are mostly used in computer tomography to reconstruct the original shape. The projections of an image could be used in computer vision for object recognition, based on projection matching. By comparing the projections, an effective method could be defined. To understand the projection behavior the basic properties of the transform are inspected, and the results of several image transformations are analyzed.
Radon变换和反变换公式在计算机断层扫描中用于重建原始形状。基于投影匹配,图像的投影可以用于计算机视觉中的物体识别。通过对投影的比较,可以确定一种有效的方法。为了了解投影行为,检查了变换的基本性质,并分析了几种图像变换的结果。
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引用次数: 10
期刊
2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)
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