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2019 12th International Conference on Developments in eSystems Engineering (DeSE)最新文献

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A Smart Adaptive Lighting System for a Multifunctional Room 多功能房间的智能自适应照明系统
K. Karyono, B. Abdullah, Alison J. Cotgrave, A. Bras
Young professionals and millennials who live alone or are living in small groups and seek practicality, trigger the trend of smaller, modular and micro houses and apartments which are faster and cheaper to build. Multifunctional or flexible room is one of the important parts of the home. This particular room needs well-designed lighting for comfort. It should give an adequate illuminance for every activity and even pattern of light. This paper presents the factors for developing the smart adaptive lighting system which can provide lighting comfort for the occupants. The simulation is being done in 5 scenarios in the LJMU BRE 2010 house model using DIALux Software with the dimmable type of LED independent luminaire. The proposed system structure uses a wireless sensor network (WSN) and big data processing as the main components. The design employs an Artificial Intelligence (AI) sub-system which has the capability to predict and adaptively regulate the illumination level based on the occupant needs or routine. The simulation shows that this system is able to give even lighting pattern for luminance values 200, 250, 300, 500, and 750 lux which are needed by the occupants. With the possibility of user-defined lighting values, this system can be developed to accommodate the needs of special groups of occupants such as the elder or disabled groups.
年轻的专业人士和千禧一代独居或小团体生活,寻求实用性,引发了更小、模块化和微型房屋和公寓的趋势,这些房屋和公寓建造起来更快、更便宜。多功能或灵活的房间是家庭的重要组成部分之一。这个特殊的房间需要精心设计的照明以保持舒适。它应该为每一个活动和均匀的光模式提供足够的照明。本文介绍了开发智能自适应照明系统的因素,为居住者提供舒适的照明。使用DIALux软件在LJMU BRE 2010住宅模型中使用可调光类型的LED独立灯具进行5种场景的模拟。提出的系统结构以无线传感器网络(WSN)和大数据处理为主要组成部分。该设计采用了人工智能(AI)子系统,该子系统能够根据居住者的需求或日常习惯预测和自适应调节照明水平。仿真结果表明,该系统能够在亮度值为200、250、300、500和750勒克斯时给出均匀的照明模式。随着用户自定义照明值的可能性,该系统可以开发,以适应特殊群体的居住者,如老年人或残疾人的需求。
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引用次数: 5
Analysis and Classification of Digital Educational Resources Used in the Work of a Proactive Teacher 主动教师工作中数字教育资源的分析与分类
E. Akhmetshin, T. Bochkareva, Anastasia Nikolaevna Tikhonova
In modern society, information technologies and associated processes are becoming increasingly influential and relevant, among them: collecting, storing, processing, providing, disseminating information, as well as its actualization ways. Information technology development trends have influenced education as well. The relevance of the research topic is based on the need to identify and study digital educational resources, as well as the importance of their introduction into educational institutions in order to improve the quality of education. Today, there is an obvious need for the development of effective methods of using the tools provided by information technologies, which will improve the students' ability of educational material procession producing a qualitative effect on their everyday life. The article deals with the problem of teaching children of the generation Z through the use of digital educational resources at school. Traditional teaching methods become obsolete and fail to give the expected results; therefore, the introduction of modern developments is required. The field of education needs new ways to monitor, test and systematize students' knowledge. The authors of the article have analyzed the current digital educational resources, and formulated their classification. The classification includes two large groups of digital educational resources: online services and mobile applications. Each of the groups, in turn, is divided into subgroups. Online services include those for testing students' knowledge and those with supporting material for teachers. Mobile applications include creative applications and selfmonitoring and student performance monitoring apps. The purpose of the study is to analyze the current digital educational resources and to offer their classification. The authors have developed and proposed a classification of modern digital educational resources. The features of each element of this classification have been identified. Finally, conclusions are made about the need to improve the educational process for schoolchildren in order to ensure higher and better results of educational activities. The authors note that the existing problem of educating children of the generation Z needs to be addressed with the help of digital educational resources, including the development of tools, techniques, practices and methods to increase the attention and interest of pupils to learning.
在现代社会中,信息技术及其相关过程的影响力和相关性越来越大,其中包括:收集、存储、处理、提供、传播信息及其实现方式。信息技术的发展趋势也影响了教育。研究课题的相关性是基于识别和研究数字教育资源的需要,以及将其引入教育机构以提高教育质量的重要性。今天,显然需要开发有效的方法来利用信息技术提供的工具,这将提高学生处理教材的能力,对他们的日常生活产生实质性的影响。本文探讨了在学校利用数字教育资源对Z世代儿童进行教育的问题。传统的教学方法过时,不能达到预期的效果;因此,引入现代发展是必要的。教育领域需要新的方法来监控、测试和系统化学生的知识。本文对现有的数字教育资源进行了分析,并对其进行了分类。该分类包括两大类数字教育资源:在线服务和移动应用。每个组依次又分为子组。在线服务包括测试学生知识的服务和为教师提供辅助材料的服务。移动应用程序包括创意应用程序、自我监控和学生表现监控应用程序。本研究的目的是分析当前的数字教育资源,并对其进行分类。作者提出了一种现代数字教育资源的分类方法。这种分类的每个元素的特征都已确定。最后,得出结论,需要改进学生的教育过程,以确保教育活动的更高和更好的结果。作者指出,现有的Z世代儿童教育问题需要借助数字教育资源来解决,包括开发工具、技术、实践和方法,以提高学生对学习的关注和兴趣。
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引用次数: 1
Motion Planning and Control for a Class of Partially Differentially Flat Systems 一类部分差分平面系统的运动规划与控制
Yang Bai, M. Svinin
This paper deals with motion planning and control problems for a class of partially differentially flat systems. A Betafunction based motion planning algorithm is first constructed by selecting the base variable to be the 2-nd order derivative of Beta-function weighted by a constant parameter. The proposed algorithm has lower computational cost than the optimal control while it provides similar system performance. Then, a function approximation technique based control algorithm is proposed by restructuring a partially differentially flat system in the form of the combination of an auxiliary linear system and its variation from the original system. The variation term was replaced by its approximation as a chosen basis function weighted by constant parameters to be determined. These unknown plant parameters are estimated at each instant, denoted by the adjustable control parameters using a defined update law.
研究了一类部分差分平面系统的运动规划与控制问题。首先选取基准变量作为beta函数的二阶导数,以常数参数加权,构造了基于beta函数的运动规划算法;与最优控制相比,该算法具有更低的计算量,同时又能提供相似的系统性能。然后,提出了一种基于函数逼近技术的控制算法,将部分差分平面系统重组为辅助线性系统及其与原系统的变化相结合的形式。将变差项替换为其近似值,作为选定的基函数,由待确定的常数参数加权。这些未知的装置参数在每一个瞬间被估计,用一个定义的更新律的可调控制参数表示。
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引用次数: 1
Spatial and Temporal Data Analysis with Deep Learning for Air Quality Prediction 基于深度学习的时空数据分析用于空气质量预测
A. Alsaedi, L. Liyakathunisa
Air quality is an active topic at many social and political scales around the world. It is a significant concern for governments, environmentalists, and even data scientists who are raising awareness about this growing global problem. The availability of the massive amount of data in recent years enables better predictions of air quality using machine learning techniques. In this study, we perform spatial and temporal analysis using Long-Short Term Memory (LSTM) neural networks to estimate the nitrogen dioxide concentration that is considered a dangerous air pollutant between Beijing and London. In our proposed approach, spatial and temporal data are collected, preprocessed, normalised, and classified with LSTM followed by a comparative analysis with alternate machine learning techniques. The results show that the performance from our adapted approach of LSTM is higher compared to other techniques for predicting pollution rates between London and Beijing.
空气质量在世界各地的许多社会和政治层面都是一个活跃的话题。政府、环保人士甚至数据科学家都非常关注这一日益严重的全球问题。近年来大量数据的可用性使得使用机器学习技术可以更好地预测空气质量。在这项研究中,我们使用长短期记忆(LSTM)神经网络进行时空分析,以估计北京和伦敦之间二氧化氮的浓度,二氧化氮被认为是一种危险的空气污染物。在我们提出的方法中,空间和时间数据被收集,预处理,归一化,并与LSTM分类,然后与其他机器学习技术进行比较分析。结果表明,与其他预测伦敦和北京之间污染率的方法相比,我们采用的LSTM方法的性能更高。
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引用次数: 6
Object Grasping and Manipulating According to User-Defined Method Using Key-Points 根据用户定义的使用关键点的方法抓取和操作对象
A. Semochkin, S. Zabihifar, A. R. Efimov
This paper presents an approach for grasping objects by the robotic manipulator at predefined points by userdefined grasping methods for cases of arbitrary position and orientation of objects. The key idea is to implement a detection algorithm for user-defined key-points on the reference object image. As these points can be detected and localized on the object surface, it is possible to generalize the initial sequence of robotic manipulations, pre-recorded for the single scene, to the set of situations with arbitrary object orientation and location within the workspace. The robotic arm had a depth camera, mounted on the end effector for 3D key-points detection and anthropomorphic robotic hand.
针对物体的任意位置和方向,提出了一种机器人在预定点上用用户定义的抓取方法抓取物体的方法。关键思想是实现对参考对象图像上用户自定义关键点的检测算法。由于这些点可以在物体表面上被检测和定位,因此可以将机器人操作的初始序列(为单个场景预先记录)推广到工作空间内具有任意物体方向和位置的一组情况。机械臂上装有深度摄像头,安装在末端执行器上进行三维关键点检测和拟人化机械臂。
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引用次数: 2
Design of Elliptical Shaped Multiband Antenna for Application in Wireless Communication 应用于无线通信的椭圆多波段天线设计
Haydar M. Al-Tamimi
in this paper, a simple stretched ellipse patch antenna for multiband operation is introduced. An ellipse – shaped slot has been etched at the center of the patch for bandwidth enhancement. The obtained bandwidth has a range of (3.2 – 11.5) GHz with multi resonance frequencies which are useful for various wireless applications. The dimensions of the proposed antenna are (103.4×96.56) mm2 using a substrate having a relative permittivity of 4.2 and a thickness of 1.5 mm. The model of the proposed antenna has been designed and simulated using the CST Microwave Studio.
本文介绍了一种用于多波段工作的简易拉伸椭圆贴片天线。为了增强带宽,在贴片的中心蚀刻了一个椭圆形状的槽。所获得的带宽范围为(3.2 - 11.5)GHz,具有多共振频率,可用于各种无线应用。所提出的天线的尺寸为(103.4×96.56) mm2,使用具有相对介电常数4.2和厚度1.5 mm的衬底。利用CST微波工作室对所提出的天线模型进行了设计和仿真。
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引用次数: 3
A Holistic Study on Emerging IoT Networking Paradigms 新兴物联网模式的整体研究
M. Al-khafajiy, Shatha Ghareeb, R. Al-Jumeily, Rusul Almurshedi, A. Hussien, T. Baker, Y. Jararweh
With the emerge of Internet of Things, billions of devices and humans are connected directly or indirectly to the internet. This significant growth in the number of connected devices rises the needs for a new development for the current network paradigm (e.g., cloud computing). The new network paradigm, such as fog computing, along with its related edge computing paradigms, are seen as promising solutions for handling the large volume of securely-critical and delay-sensitive data that is being produced by the IoT nodes. In this paper, we give a brief overview on the IoT related computing paradigms, including their similarities and differences as well as challenges. Next, we provide a summary of the challenges and processing and storage capabilities of each network paradigm.
随着物联网的出现,数十亿的设备和人类直接或间接地连接到互联网。连接设备数量的显著增长增加了对当前网络范式(例如云计算)的新发展的需求。新的网络范式,如雾计算及其相关的边缘计算范式,被视为处理物联网节点产生的大量安全关键型和延迟敏感型数据的有前途的解决方案。在本文中,我们简要概述了与物联网相关的计算范式,包括它们的异同以及挑战。接下来,我们总结了每种网络范例的挑战以及处理和存储能力。
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引用次数: 1
Emotional Social Robot "Emotico" 情感社交机器人“Emotico”
E. Chebotareva, Ramil Safin, Artur Shafikov, D. Masaev, Andrey Shaposhnikov, Ilnaz Shayakhmetov, E. Magid, N. Zilberman, Yu. F. Gerasimov, M. Talanov
This work presents high level design and preliminary results of the implementation of an psycho-emotional system based on DA and 5-HT subsystems implementing 4 basic emotions.
本文提出了一个基于DA和5-HT子系统实现4种基本情绪的心理情绪系统的高层次设计和初步实现结果。
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引用次数: 4
Effect of Heat Treatment on Structural and Optical Properties of ZnFe2O4 Nanoparticles 热处理对纳米ZnFe2O4结构和光学性能的影响
S. Abbas, A. Anber, A. Abbas
In this work, ZnFe_2O_4 nanoparticles was prepared via advanced combustion route. Zn ferrite was investigated by x-ray diffraction and the roughness of the surface describe by atomic force microscopy. From results XRD test itfs found that the crystal structureof sample ZnFe_2O_4 as a single phase nanoparticle is cubic with different annealing temperature 400, 600 and 800 .C respectively, accretion annealing temperature of the gelled to increase the crystalline average size The average size of nanoparticles in the range of 26.60, 30.13 and 56.23 nm at 400, 600 and 800 .C respectively. It can be found from UVvisible analysis the bandgap and the absorption spectrum accretion with accretion temperature.
本研究采用先进燃烧法制备了纳米ZnFe_2O_4。用x射线衍射和原子力显微镜对锌铁氧体表面粗糙度进行了研究。XRD测试结果表明,在400、600和800℃不同退火温度下,样品ZnFe_2O_4作为单相纳米颗粒的晶体结构呈立方状,凝胶化退火温度的增加使晶粒平均尺寸增大,在400、600和800℃时,纳米颗粒的平均尺寸分别在26.60、30.13和56.23 nm范围内。从紫外可见光谱分析可以发现,带隙和吸收光谱随吸积温度的增加而增加。
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引用次数: 0
Novel Framework for Outdoor Mobility Assistance and Auditory Display for Visually Impaired People 视障人士户外行动辅助及听觉显示新架构
Wasiq Khan, A. Hussain, Bilal Khan, R. Nawaz, T. Baker
Outdoor mobility of Visually Impaired People (VIPs) has always been challenging due to the dynamically varying scenes and environmental states. Variety of systems have been introduced to assist VIPs’ mobility that include sensor mounted canes and use of machine intelligence. However, these systems are not reliable when used to navigate the VIPs in dynamically changing environments. The associated challenges are the robust sensing and avoiding diverse types of obstacles, dynamically modelling the changing environmental states (e.g. moving objects, road-works), and effective communication to interpret the environmental states and hazards. In this paper, we propose an intelligent wearable auditory display framework that will process real-time video and multi-sensor data streams to: a) identify the type of obstacles, b) recognize the surrounding scene/objects and corresponding attributes (e.g. geometry, size, shape, distance from user), c) automatically generate the descriptive information about the recognized obstacle/objects and attributes, d) produce accurate, precise and reliable spatial information and corresponding instructions in audio-visual form to assist and navigate VIPs safely with or without the assistance of traditional means.
视障人士的户外活动由于场景和环境的动态变化,一直是一个挑战。已经引入了各种系统来帮助贵宾的移动性,包括安装传感器的手杖和机器智能的使用。然而,这些系统在动态变化的环境中导航vip时并不可靠。相关的挑战是强大的感知和避免不同类型的障碍,动态建模不断变化的环境状态(例如移动的物体,道路工程),以及有效的沟通来解释环境状态和危害。在本文中,我们提出了一种智能可穿戴听觉显示框架,该框架将处理实时视频和多传感器数据流,从而:a)识别障碍物类型;b)识别周围的场景/物体及其属性(如几何形状、大小、形状、与用户的距离);c)自动生成所识别的障碍物/物体及其属性的描述性信息;d)以视听形式生成准确、精确、可靠的空间信息和相应的指令,以辅助或不借助传统手段安全导航。
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引用次数: 5
期刊
2019 12th International Conference on Developments in eSystems Engineering (DeSE)
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