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2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)最新文献

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Mobile Application for Daily Challenge Management 每日挑战管理的移动应用程序
Mátyás Gagyi, Örs-Krisztián Patakfalvi, Sandor Raduly, Csaba Sulyok
Nowadays, the various challenges in which participants have to take certain time-specific steps are growing more and more popular; examples include reading a book every week or doing specific exercises for thirty days. Although enthusiasts are eager and willing to participate, they lack a single and transparent platform. The Daily Challenge software project aims to provide a unified interface for users where a multitude of challenges are available for participation. The project is divided into three components: The central server raises a scalable platform around the database and provides access options for any number of clients. Through the multi-platform native mobile application and the web-based interface, users with different roles may participate and maintain challenges. This paper provides an in-depth view of the operation, architecture and the functionalities of the system, also fleshing out technologies and tools used.
如今,参与者必须采取特定时间步骤的各种挑战越来越受欢迎;例如,每周读一本书或做三十天的特定练习。虽然爱好者们渴望并愿意参与,但他们缺乏一个单一透明的平台。Daily Challenge软件项目旨在为用户提供一个统一的界面,其中有大量的挑战可供参与。该项目分为三个组件:中央服务器围绕数据库建立一个可扩展的平台,并为任意数量的客户机提供访问选项。通过多平台原生移动应用和基于web的界面,不同角色的用户都可以参与和维护挑战。本文对该系统的操作、体系结构和功能进行了深入的介绍,并详细介绍了所使用的技术和工具。
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引用次数: 0
A Machine Learning Approach for an Early Prediction of Preterm Delivery 早产早期预测的机器学习方法
Danica Despotovic, Aleksandra Zec, K. Mladenović, N. Radin, T. Lončar-Turukalo
The preterm birth presents a major cause of the infants' deaths, or the consequent health impairments globally, with an increasing trend of the preterm rate. The enormous global burden on both families and society calls for the preventive and predictive measures. The electrohysterogram (EHG), electrical activity of uterus as measured by surface electrodes, is a noninvasive and affordable tool for effective monitoring of both pregnancy and labour. In this study, the possibility of an early prediction of preterm delivery from the EHG recordings made between 22nd and 25th week of the gestation is explored. A set of novel features, including those exploiting signal's nonstationarity, based on the predictive modelling, and empirical mode decomposition, was evaluated on 15min long EHG recordings from the publicly available Term-Preterm EHG (TPEHG) database. On average, Random Forest classifier combined with artificial sampling, tested using 10-fold cross-validation on 322 samples (38 preterm) provided for 99.23% accuracy, with 98.40%sensitivity, and area under curve of 99%. The proposed approach has an additional advantage achieving the classification improvement over shorter, 15min long EHG recordings.
早产是全球婴儿死亡或由此造成的健康损害的一个主要原因,早产率呈上升趋势。家庭和社会的巨大全球负担要求采取预防和预测措施。子宫电图(EHG)是通过表面电极测量的子宫电活动,是一种无创且经济实惠的有效监测妊娠和分娩的工具。在这项研究中,探讨了从妊娠22至25周的EHG记录中早期预测早产的可能性。在公开的Term-Preterm EHG (TPEHG)数据库中,对15分钟长的EHG记录进行了评估,包括基于预测建模和经验模式分解的利用信号非平稳性的一组新特征。随机森林分类器与人工抽样相结合,对322个样本(38个早产儿)进行10倍交叉验证,平均准确率为99.23%,灵敏度为98.40%,曲线下面积为99%。该方法还有一个额外的优势,即在较短的15分钟长的EHG记录中实现分类改进。
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引用次数: 19
Broad Learning System and its Structural Variations 广义学习系统及其结构变异
C. L. P. Chen
After a very fast and efficient discriminative Broad Learning System (BLS) that takes advantage of flatted structure and incremental learning has been developed, this talk will discuss mathematical proof of the universal approximation property of BLS. In addition, the framework of several BLS variants with their mathematical modellings are given. The variations include cascade, recurrent, and broad-deep combination that cover existing deep-wide/broad-wide structures. From the experimental results, the BLS and its variations outperforms several exist learning algorithms on regression performance over function approximation, time series prediction, and face recognition databases.
在开发了一种利用扁平结构和增量学习的非常快速有效的判别广义学习系统(BLS)之后,本讲座将讨论BLS全称近似性质的数学证明。此外,还给出了几种BLS变体的框架及其数学模型。这些变化包括级联、循环和覆盖现有深-宽/宽结构的宽-深组合。从实验结果来看,BLS及其变体在函数逼近、时间序列预测和人脸识别数据库的回归性能上优于几种现有的学习算法。
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引用次数: 5
Issue on implementation Possibility of Bluetooth Mesh Capabilities into OmNET++ 关于蓝牙Mesh功能在omnet++中实现可能性的问题
L. Kajdocsi, Janos Kovacs
Navigation was always important to humankind. Today, it is unimaginable to navigate in the world without the Global Positioning System. Although, the Global Positioning System operates very accurately outdoors but does not in indoor environments. Unfortunately, the indoor navigation is still in its infancy. However, several approaches have been proposed during the last decade but none of them is accurate and/or inexpensive enough for the consumer use. According to the authors' proposal, utilization of a hybrid mesh network might solve the inaccuracy. The mesh technology would offer an accurate, fast, adaptive, self-organizing, self-healing and inexpensive solution for the indoor positioning. A hybrid mesh network would involve some technologies like Wi-Fi, Bluetooth, RFID or IQRF. Fortunately, the Bluetooth Special Interest Group announced the mesh capability in the Bluetooth 5 standard in 2017. However, building up a physical network is always expensive experiment, thus simulations would be executed in a OmNET++. In this paper, the implementation possibility of the Bluetooth mesh capabilities will be analyzed.
航海对人类来说一直很重要。今天,如果没有全球定位系统,在世界上航行是不可想象的。虽然,全球定位系统在室外运行非常准确,但在室内环境中却不能。不幸的是,室内导航仍处于起步阶段。然而,在过去十年中,已经提出了几种方法,但没有一种是准确的和/或便宜到足以供消费者使用。根据作者的建议,利用混合网状网络可以解决这种不准确性。网格技术将为室内定位提供准确、快速、自适应、自组织、自修复和廉价的解决方案。混合网状网络将涉及Wi-Fi、蓝牙、RFID或IQRF等技术。幸运的是,蓝牙特殊兴趣小组在2017年宣布了蓝牙5标准中的mesh功能。然而,建立一个物理网络总是昂贵的实验,因此模拟将在omnet++中执行。本文将分析蓝牙mesh功能的实现可能性。
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引用次数: 2
The Veterinary Horse Circuit for a Microcontroller Supervised System 用于单片机监督系统的兽医马电路
G. Gyorok
Many of electronics applications, the continuous reliability measurement of the circuit may be important. It is enough to consider certain industrial applications (collaborative robot control), biomedical electronics (patient monitoring applications), passenger safety circuits (air bag control, brake control). With the application of embedded microcontrollers, we can continuously analyze the digital circuit, so we can measure its status. In this case, the supervised circuit together with the supervised analog and/or hybrid circuit also operates a microcontroller simulation and continuously compares the operation of the digital simulation and the test circuit. In the case of system identification methods, the quality parameter of a test system or the test equipment itself or its change in the test object itself shall be followed or evaluated. In this article we present a circuit with typizable failures and failures options that can be used to test and improve the tester itself.
在许多电子应用中,电路的连续可靠性测量可能很重要。它足以考虑某些工业应用(协作机器人控制),生物医学电子(患者监测应用),乘客安全电路(安全气囊控制,制动控制)。通过嵌入式单片机的应用,可以对数字电路进行连续分析,从而对其状态进行测量。在这种情况下,监督电路与监督模拟和/或混合电路一起也操作微控制器模拟,并不断比较数字模拟和测试电路的操作。采用系统识别方法时,应跟踪或评价测试系统或测试设备本身的质量参数或其在测试对象本身的变化。在这篇文章中,我们提出了一个电路,具有可分类的故障和故障选项,可用于测试和改进测试仪本身。
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引用次数: 2
Forensic Functional Profile of loT Devices-Based on Common Criteria 基于通用标准的loT设备取证功能分析
Gábor Bréda, P. J. Varga, Zsolt Illési
The increased popularity of the Internet of Things (loT) increased the exposure to malicious attacks of such devices. The security of loT devices is under continuous analysis and there are great improvements in this field, but it appears that the computer forensic specific needs are not taken into considerations. This paper analyses the forensic requirements, and identifies the minimal functional requirements of the loT devices, based on the Common Criteria (CC). This paper also highlights some functional requirements and concerns that are not in CC, but which are essential to a forensic investigation.
物联网(loT)的日益普及增加了此类设备遭受恶意攻击的风险。loT设备的安全性正在不断地被分析,并且在这一领域有了很大的改进,但似乎没有考虑到计算机取证的特定需求。本文分析了取证需求,并基于通用标准(CC)确定了loT设备的最小功能需求。本文还强调了CC中没有的一些功能需求和关注点,但它们对于法医调查是必不可少的。
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引用次数: 3
False Detection Filtering Method for Magnetic Sensor-Based Vehicle Detection Systems 基于磁传感器的车辆检测系统的误检滤波方法
Peter Sarcevic, Szilveszter Pletl
Magnetometer-based vehicle detection systems offer many advantages compared to other technologies. These systems can effectively detect vehicle presence, but vehicles with high metallic content passing in the neighboring lane can cause false detections. In this work, a new method is proposed for the filtering of these false detections. Filtering is based on different rules constructed using various data types extracted from the signals. All data types were tested separately to find the parameters with most influence, and later these parameters were combined in more complex rules to achieve more accurate results. The optimization of the parameter values was realized using genetic algorithms. The obtained results show that using properly constructed rules, 97% of false detections can be filtered with losing only nearly 0.3 % of good detections, and even a single parameter can be sufficient to reliably filter the false detections.
与其他技术相比,基于磁力计的车辆检测系统具有许多优点。这些系统可以有效地检测车辆的存在,但在相邻车道上通过的金属含量高的车辆可能会导致错误检测。在这项工作中,提出了一种新的方法来过滤这些假检测。过滤基于使用从信号中提取的各种数据类型构建的不同规则。对所有数据类型分别进行测试,找出影响最大的参数,然后将这些参数组合在更复杂的规则中,以获得更准确的结果。采用遗传算法实现了参数值的优化。结果表明,使用适当构造的规则,可以滤除97%的误检,仅损失近0.3%的好检测,甚至单个参数就足以可靠地滤除误检。
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引用次数: 7
Info-Chunk Driven RFLP Structure Based Product Model for Multidisciplinary Cyber Physical Systems 基于信息块驱动RFLP结构的多学科网络物理系统产品模型
Yatish Bathla
Cyber Physical System (CPS) forms the basis of emerging and future smart services as it collaborates computational entities with the surrounding physical world. CPS demands a system level product model where it requires advanced engineering modeling and the possible solution is multidisciplinary CPS. In functional-logical level of multidisciplinary CPS, behavior representation allows concept level virtual execution of the model. Using own former research results, this paper proposes Info-Chunk entities in the functional level of Requirement Functional Logical Physical (RFLP) structure product model and then explains the communication between the cyber CPS unit entities with extended Info-Chunk driven RFLP structure by the Information Content (IC). Then, it explains the role of Info-Chunk in the active information content (AIC) which supports driving entities in RFLP and CPS cyber structures. Finally, communication between AIC, Info-Chunk driven RFLP structure and cyber units in the CPS of the product is discussed. Here, virtually executed complex models of products are converted into real world cyber physical systems using cyber physical production systems in accordance with the paradigm Industry-4.0.
网络物理系统(CPS)是新兴和未来智能服务的基础,因为它将计算实体与周围的物理世界进行协作。CPS需要一个系统级的产品模型,它需要先进的工程建模,可能的解决方案是多学科的CPS。在多学科CPS的功能逻辑层,行为表示允许模型的概念级虚拟执行。本文利用自身的研究成果,在需求功能逻辑物理(RFLP)结构产品模型的功能层提出了信息块实体,并通过信息内容(Information Content, IC)解释了扩展信息块驱动RFLP结构的网络CPS单元实体之间的通信。然后,解释了信息块在支持RFLP和CPS网络结构驱动实体的主动信息内容(AIC)中的作用。最后,讨论了AIC、信息块驱动RFLP结构与产品CPS中网络单元之间的通信。在这里,虚拟执行的复杂产品模型根据工业4.0范式使用网络物理生产系统转换为现实世界的网络物理系统。
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引用次数: 2
Readiness for Artificial Intelligence 为人工智能做好准备
Komelia Lazanyi
In the age of the fourth industrial revolution, where collaborative systems are the real innovation people are still not prepared for the results of the third revolution, namely for artificial intelligence. While every change has its life cycle with innovators, early adopters, early majority before it can reach its fruition, the age of robots has too fast been followed by the internet of things (IoT) of the fourth industrial revolution. Hence, people didn't have enough time to adapt to the change. In present paper a primary research is presented, that aimed to explore the attitude of young adolescents towards artificial intelligence. Based on the result, trust is clearly one of the main issues regarding change in general and readiness in particular. People are not ready for robotic peers within their workplace yet. Psychological and emotive needs shall be addressed for the people to accept artificial intelligence in their workplace and surrounding.
在第四次工业革命时代,协作系统是真正的创新,人们仍然没有准备好迎接第三次革命的结果,即人工智能。虽然每一个变化都有其生命周期,创新者、早期采用者、早期大多数人在它实现之前,机器人时代很快就被第四次工业革命的物联网(IoT)所取代。因此,人们没有足够的时间来适应这种变化。本文提出了一项初步研究,旨在探讨青少年对人工智能的态度。基于结果,信任显然是关于变革的主要问题之一,尤其是准备就绪。人们还没有准备好在工作场所与机器人同行。解决人们在工作场所和周围环境中接受人工智能的心理和情感需求。
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引用次数: 4
Preliminary Considerations in the Design of a Sensor for Improving the Reference Trajectory Calculation for the Individual Leg of a Hexapod 改进六足单腿参考轨迹计算传感器设计的初步考虑
Z. Gobor, P. Odry, A. Várkonyi-Kóczy
The free-climbing robots are the alternative to wheeled vehicles, because the legged locomotion allows mobility on the steep gradients under the harsh environmental conditions. The steady progression requires coordination of leg movements for which the force sensors implemented in the joints of the robot legs are not always sufficient. Considering the previous developments in the field of robotics, the combination of the impedance and vision sensors comprises an obvious solution for providing stable and accurate contact between the individual legs and the ground. The implementation of additional, non-invasive sensor/s on all the legs of the hexapod robotic platform, for the indirect measuring and analysis of the terrain surface, is investigated. Furthermore, a method for the parametric 3D modeling of simulation assemblies is described in a mixed top-down, bottom-up and middle-out design approach. Mechanisms were created using the common origin skeletal modeling (top-down approach), allowing the context analysis and the definition of the parameters for the further numerical optimization in an early phase of the development. Finally, the applicability of the anytime approach during the optimization of the mechanical parts of the mechanism in the design process was tested.
自由攀爬机器人是轮式车辆的替代品,因为腿式运动允许在恶劣的环境条件下在陡峭的斜坡上移动。这种稳定的运动需要腿部运动的协调,而在机器人腿的关节上安装的力传感器并不总是足够的。考虑到之前机器人领域的发展,阻抗和视觉传感器的结合是一个明显的解决方案,可以提供单个腿与地面之间稳定和准确的接触。研究了在六足机器人平台的所有腿上附加非侵入式传感器的实现,用于间接测量和分析地形表面。在此基础上,提出了一种基于自顶向下、自底向上和中间向外混合设计的仿真组件参数化三维建模方法。使用公共起源骨架建模(自顶向下方法)创建机构,允许上下文分析和参数定义,以便在开发的早期阶段进一步进行数值优化。最后,验证了随时法在机构设计过程中机械零件优化中的适用性。
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引用次数: 2
期刊
2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)
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