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2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)最新文献

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Intelligent Exoskeleton for Patients with Paralysis 瘫痪患者的智能外骨骼
A. A. Bakri, Mohamed Yacine Lezzar, M. Alzinati, Khaled Mortazavi, Wessam Shehieb, T. Sharif
The topic of paralysis has gained a lot of interest among scientist over the last years. Therefore, many projects were made for patients suffering from paralysis, yet none has succeeded in achieving an effective way to give these patients the ability to control their paralyzed body parts. This paper proposes a robotic upper-limb exoskeleton guided using 3D object detection and recognition and controlled via Electroencephalogram (EEG) signals. The proposed system is dedicated to patients with complete monoplegic, hemiplegic and quadriplegic paralysis. The main objective of the system is to give these patients the ability to move their upper-limb, and control a wheelchair using their thoughts, which offers them independence, better life quality and assist them in leading active roles in the society. This system consists of four main components, namely, EEG module, infrared (IR) depth camera, 3D printed upper-limb exoskeleton and a motorized wheelchair. The former two are used as inputs to the system and the collaboration between them shows the uniqueness of the proposed approach. EEG signals are segmented and classified through Fuzzy Logic technique and the results are used for choosing the desired object for grabbing from the surface of a table. Movement to the desired object is executed based on the 3D coordinates obtained from the IR depth camera, while inertial measurement unit (IMU) sensor is placed on the arm as a feedback element to ensure accurate movement and proper safety measures. System prototype showed sufficient results for the proposed idea.
在过去的几年里,瘫痪的话题引起了科学家们的极大兴趣。因此,人们为瘫痪患者设计了许多项目,但没有一个成功地实现了一种有效的方法,使这些患者能够控制瘫痪的身体部位。提出了一种基于三维目标检测和识别的机器人上肢外骨骼,并通过脑电图信号进行控制。该系统专门用于完全单侧瘫痪、偏瘫和四肢瘫痪的患者。该系统的主要目标是让这些患者能够移动上肢,并使用他们的思想控制轮椅,这为他们提供了独立,更好的生活质量,并帮助他们在社会中发挥积极作用。该系统由EEG模块、红外(IR)深度摄像头、3D打印上肢外骨骼和电动轮椅四个主要部分组成。前两者被用作系统的输入,它们之间的协作显示了所提出方法的独特性。利用模糊逻辑技术对脑电信号进行分割和分类,并根据结果从桌子表面选择所需的抓取对象。根据红外深度相机获得的3D坐标执行到所需物体的运动,而惯性测量单元(IMU)传感器放置在手臂上作为反馈元件,以确保准确的运动和适当的安全措施。系统原型对所提出的思想进行了充分的验证。
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引用次数: 10
An Enhanced Simulation Framework for the Performance Evaluation of On-Chip Network Designs 一种用于片上网络设计性能评估的增强仿真框架
Sarzamin Khan, Ayaz Ahmad, Sheraz Anjum, T. Umer, Usman Ali Gulzari
Network-on-Chip (NoC) has emerged as an innovative solution to the communication bottlenecks of the System-on-Chip (SoC) designs. Being an emerging technology, this field requires an extensive research to cope up with the design challenges of the on-Chip networks. In this research work, we have developed and proposed a unified simulation framework named as ENoCTweak for the simulation and analysis of the important parameters such as latency, throughput. energy and power of the NoC system. This framework is mainly an enhanced and updated version of a well-known simulator NoCTweak with additional performance parameters and integration of different NoC components and simulation platforms. Important components from NOCMAP and ReliableNoC simulators are also integrated into the framework of the proposed ENoCTweak simulator. In this platform, we have embedded different mapping algorithms, like Branch & Bound (BB), Simulated Annealing (SA), Segmented Brute-Force Mapping (SBMAP), Branch & Bound based Exact Mapping (BEMAP), and Optimized Near-optimal Mapping (ONMAP) algorithms, in addition to the existing NMAP and Random algorithms. An External Mapping (EXMAP) setup is also developed to evaluate the mapping results of the existing NoC simulation platforms. In addition to the 2D mesh, other topologies like torus and folded torus are implanted to improve the simulation capabilities of the ENoCTweak simulator. Bit energy model along with the CMOS energy models are added to the simulation framework to enhance the characteristic performance of the simulator.
片上网络(NoC)已成为解决片上系统(SoC)设计通信瓶颈的创新解决方案。作为一项新兴技术,该领域需要广泛的研究来应对片上网络的设计挑战。在本研究中,我们开发并提出了一个统一的仿真框架ENoCTweak,用于仿真和分析时延、吞吐量等重要参数。NoC系统的能量和功率。该框架主要是一个著名的模拟器NoCTweak的增强和更新版本,增加了额外的性能参数,并集成了不同的NoC组件和仿真平台。来自noocmap和ReliableNoC模拟器的重要组件也被集成到提议的ENoCTweak模拟器的框架中。在这个平台中,除了现有的NMAP和Random算法外,我们还嵌入了不同的映射算法,如Branch & Bound (BB),模拟退火(SA),分段蛮力映射(SBMAP),基于Branch & Bound的精确映射(BEMAP)和优化近最优映射(ONMAP)算法。开发了外部映射(EXMAP)设置,以评估现有NoC仿真平台的映射结果。除了2D网格外,还植入了其他拓扑,如环面和折叠环面,以提高ENoCTweak模拟器的仿真能力。在仿真框架中加入了位能量模型和CMOS能量模型,增强了模拟器的特性性能。
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引用次数: 1
CSgI: A Deep Learning based approach for Marijuana Leaves Strain Classification CSgI:基于深度学习的大麻叶片品系分类方法
S. Rajora, Dinesh kumar Vishwakarma, Kuldeep Singh, M. Prasad
This paper proposes a novel approach that classifies the images of various marijuana/cannabis leaves into their respective classes of strains and types. The proposed architecture works on a two-fold technique which when implemented in the requisite sequence delivers phenomenal results to the classification problem statement. The first fold, being the segmentation or foreground extraction in the images, focuses on extracting the RDI (Region of Interest) using a robust segmentation algorithm which can suitable separate the foreground from the image; and the second fold, being the Deep Learning aspect focuses on the result classification task. This literature gives a quantitative analysis of implementing this classification problem vide a transfer learning paradigm (for application instances with less training data in hand) & training the entire CNN archetype from scratch (for application instances with sufficient training data in hand). Thus, altogether the proposed methodology distinctively deploys ConvNets for the posed classification problem having dual aspects of approaches & implementation wiz: a) Transfer Learning & b) Training the entire CNN from scratch. The novelty of the proposed work can be counted upon as the construction of a robust algorithm very first of its kind in this respective application domain which is potent enough to render the correct class label of the strain/type of marijuana or cannabis leaf image when fed to the system for classification.
本文提出了一种新的方法,将各种大麻/大麻叶子的图像分类到各自的菌株和类型中。所提出的体系结构采用双重技术,当按必要的顺序实现时,将为分类问题陈述提供显著的结果。第一部分是图像的分割或前景提取,重点是使用鲁棒分割算法提取感兴趣区域(RDI),该算法可以将前景与图像适当分离;第二部分是深度学习,专注于结果分类任务。本文通过迁移学习范式(用于手头训练数据较少的应用实例)和从头开始训练整个CNN原型(用于手头训练数据充足的应用实例)对实现该分类问题进行了定量分析。因此,总的来说,所提出的方法独特地为所提出的分类问题部署了卷积神经网络,具有方法和实现的双重方面:a)迁移学习和b)从头开始训练整个CNN。所提出的工作的新颖性可以被认为是在各自的应用领域中首次构建了一个鲁棒算法,该算法足以在将大麻的菌株/类型或大麻叶子图像馈送到系统进行分类时呈现正确的类别标签。
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引用次数: 7
Acceptability Based Clustering Routing Protocol in MANET MANET中基于可接受性的聚类路由协议
Himadri Nath Saha, Avimita Chatterjee, B. Chatterje
The proliferation of mobile computing and communication devices are driving a revolutionary change in our information society. Among all the applications and services run by mobile devices, network connections and corresponding data services are without doubt the most demanded services by mobile users. A MANET is a continuously self-configuring, infrastructure-less network of mobile devices connected without wires, which makes it ideal for the present scenario. But, due to lack of any centralized infrastructure and access to trusted authorities, the security in MANET poses a huge threat. The prominent routing protocols we know are generally designed for environments where the nodes within a network are non-malicious. Due to the vulnerable nature of the mobile ad hoc network, there are numerous security threats that disturb its development. We propose a routing protocol called Acceptability Based Clustering Routing Protocol (ABCP) for MANETs, which ensures secure routing through the network: by electing a Cluster head on the basis of Acceptability score, after which a node only communicates to that secure Admin node. This selection of secured admin nodes results in mitigation of various threats. We have evaluated our proposed protocol by simulating and comparing in GloMoSim 2.03.
移动计算和通信设备的激增正在推动我们信息社会的革命性变化。在移动设备运行的所有应用和服务中,网络连接和相应的数据服务无疑是移动用户最需要的服务。MANET是一种连续自配置、无基础设施的移动设备网络,无需电线连接,这使其成为当前场景的理想选择。但是,由于缺乏任何集中的基础设施和对可信权威的访问,MANET的安全性构成了巨大的威胁。我们所知道的主要路由协议通常是为网络中的节点是非恶意的环境而设计的。由于移动自组网的脆弱性,其发展面临着诸多安全威胁。我们提出了一种路由协议,称为基于可接受性的聚类路由协议(ABCP),用于manet,它确保通过网络的安全路由:通过根据可接受性评分选择簇头,之后一个节点只与该安全管理节点通信。这种安全管理节点的选择可以减轻各种威胁。我们在GloMoSim 2.03中通过仿真和比较对我们提出的协议进行了评估。
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引用次数: 4
Blockchain Network for Space Object Location Gathering 区块链空间目标定位采集网络
M. Molesky, Elizabeth A. Cameron, J. Jones, Michael Esposito, Liran Cohen, Chris Beauregard
This paper proposes a solution to facilitate on-orbit satellite communication data integrity and security by utilizing blockchain technology. A proliferating demand has created a growing reliance on satellites for communications, GPS, imagery, and other uses. The decreased cost of entry into the space industry has increased the number of entrants and also the number of satellites and the amount of space debris. These orbital debris pose a serious threat to spacecraft. Therefore, tracking these objects is crucial. Blockchain technology offers a unique solution to this problem by utilizing functions, processes, and information already incorporated into satellites while maintaining a maximum of forty-eight hours of data. The use of blockchain provides a high level of trusted positional data that can be used to predict and avoid collisions which will save billions of dollars and valuable time. This paper provides a technological design, rational, and risk analysis of this proposal.
本文提出了一种利用区块链技术促进卫星在轨通信数据完整性和安全性的解决方案。不断增长的需求使得通信、GPS、成像和其他用途越来越依赖卫星。进入空间工业的成本降低,增加了进入者的数量,也增加了卫星的数量和空间碎片的数量。这些轨道碎片对航天器构成严重威胁。因此,跟踪这些目标是至关重要的。区块链技术通过利用已经纳入卫星的功能、流程和信息,同时保持最多48小时的数据,为这一问题提供了独特的解决方案。区块链的使用提供了高水平的可信位置数据,可用于预测和避免碰撞,这将节省数十亿美元和宝贵的时间。本文对该方案进行了技术设计、合理性分析和风险分析。
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引用次数: 7
Fault Injection Framework for Demand-Controlled Ventilation and Heating Systems Based on Wireless Sensor and Actuator Networks 基于无线传感器和执行器网络的需求控制通风供暖系统故障注入框架
A. Behravan, R. Obermaisser, Mohammad Abboush
The demand-controlled ventilation as an advanced control approach is one of the recent developments in smart building technologies. The aim is the optimization of energy consumption, occupant comfort and air quality based on cost-effective, flexible, scalable, and low-power wireless sensor and actuator networks that facilitate monitoring and control of the building automation system. However, the device nodes and communication routes are error-prone due to various types of faults. When a fault arises in the network or in the nodes, the sensor nodes may produce erroneous data and the actuator nodes' behavior can differ from their expected action on the physical plant. Therefore, this study successfully explicates a novel fault injection framework as a tool that scholars can simply monitor the behavior of this system in the occurrence of different types of faults which are artificially injected or add their own desired type of fault to this framework. Then, authors indicate the fault-error-failure propagation model in component level and system level. The final aim of authors is to use this framework for their future research of testing fault detection and diagnosis methods. This demand-controlled ventilation and heating system is created based on wireless sensor and actuator networks which is more compatible with reality as the wireless communication is very prevalent nowadays and this wireless model is validated by the previous cabled model. The literature research by the authors indicates the excellence of the ZigBee protocol for building automation. In the result section, some samples from the behavior of the system in healthy-mode and faulty-mode in the format of temperature signals as the controlled variable and the comparison of energy consumption of heating system in healthy mode and different faulty modes are shown.
需求控制通风作为一种先进的控制方式,是智能建筑技术的最新发展之一。其目的是优化能源消耗、乘员舒适度和空气质量,基于经济高效、灵活、可扩展和低功耗的无线传感器和执行器网络,促进对建筑自动化系统的监测和控制。但是,由于各种故障,设备节点和通信路由容易出错。当网络或节点出现故障时,传感器节点可能产生错误的数据,执行器节点的行为可能与它们在物理设备上的预期行为不同。因此,本研究成功地阐述了一种新的故障注入框架,作为一种工具,学者们可以简单地监测系统在人工注入的不同类型故障发生时的行为,或者在该框架中添加自己想要的故障类型。然后提出了组件级和系统级的故障-错误-故障传播模型。作者的最终目标是将该框架用于他们未来测试故障检测和诊断方法的研究。这种基于无线传感器和执行器网络的需求控制通风和供暖系统更符合现实,因为无线通信在当今非常普遍,并且这种无线模型通过之前的有线模型进行了验证。通过文献研究表明ZigBee协议在楼宇自动化中的优越性。在结果部分,以温度信号为被控变量的形式给出了系统在健康模式和故障模式下的行为样本,并对健康模式和不同故障模式下供暖系统的能耗进行了比较。
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引用次数: 2
Multiband Reconfigurable Patch Antenna for Millimeter Wave Applications 毫米波应用的多波段可重构贴片天线
Mandeep Singh, Hardeepak Singh, Simranjit Singh
The main objective of this research work is to design a multiband reconfigurable patch antenna for millimeter wave applications. In this paper, a slotted circular patch antenna is designed on Polymide substrate material with dielectric constant 3.5. To reconfigure patch antenna, two MEMS switches are placed within slots inside the patch and are investigated under four different conditions by alternatively turning ON/OFF MEMS switches. The different performance parameters such as return loss, gain and Voltage Standing Wave Ratio (VSWR) are measured and it is found that the proposed antenna is efficiently resonating on three frequency bands by tuning the switches with effective gain and VSWR. The proposed reconfigurable antenna is resonating on important frequencies such as 30GHz, 35GHz, 45GHz and 60GHz with effective gain and VSWR without changing the dimension of patch antenna. This antenna can be used for millimeter waves based high speed short range wireless communications, sensing and security applications.
本研究工作的主要目标是设计一种适用于毫米波应用的多波段可重构贴片天线。本文在介电常数为3.5的聚酰胺衬底材料上设计了一种开槽圆形贴片天线。为了重新配置贴片天线,在贴片内部的插槽中放置两个MEMS开关,并通过交替打开/关闭MEMS开关来研究四种不同条件下的情况。测量了天线的回波损耗、增益和驻波电压比等性能参数,通过调整开关的有效增益和驻波电压比,发现天线在三个频段上都能实现有效的谐振。该可重构天线在不改变贴片天线尺寸的情况下,在30GHz、35GHz、45GHz和60GHz等重要频率上具有有效增益和驻波比。该天线可用于基于毫米波的高速短距离无线通信、传感和安全应用。
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引用次数: 1
Towards Optimal Placement of Controllers in SDN-enabled Smart Grid 基于sdn的智能电网控制器优化配置研究
M. Samir, Effat Samir, M. Azab, M. Rizk, N. Sadek
Modern paradigm of Software Defined Networking (SDN) inspired researchers to solve many of the network and security challenges in crucial fields such as the Smart Grids. However, integrating SDN within Smart Grid context raised many challenges in terms of network and security management such as the optimal design of SDN controller's placement. Recent researches proposed the Controller Placement Problem (CPP) to determine the optimal number and locations of SDN controllers in extremely wide area networks. In this paper, we present a solution to the CPP problem within Smart Grid context. Our simulation results demonstrate the optimal SDN controller(s) placement considering the preferred metrics and the trade-off computation between these metrics.
软件定义网络(SDN)的现代范式激发了研究人员解决智能电网等关键领域的许多网络和安全挑战。然而,将SDN集成到智能电网环境中,在网络和安全管理方面提出了许多挑战,例如SDN控制器布局的优化设计。最近的研究提出了控制器放置问题(Controller Placement Problem, CPP)来确定极广域网中SDN控制器的最优数量和位置。本文针对智能电网环境下的CPP问题提出了一种解决方案。我们的仿真结果展示了考虑首选度量和这些度量之间的权衡计算的最佳SDN控制器放置。
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引用次数: 4
Android-Based Information System for Marriage Counseling 基于android的婚姻咨询信息系统
G. Nneji, Jianhua Deng, H. Monday, Basil C. Mbonu, Mercy C. Nneji, Eziefuna E. Onyinye
This paper proposes a simple but efficient android-based information system for marriage counseling. The information system developed also contains a self-evaluation module in the form of quiz. The methodology adopted in the development of the system is the Rapid Application Development Methodology. The programming language used is Java and XML as the markup language. The contents of the database are gotten from online sources authored by experts on Marriage counseling. Hence, the solutions provided by the system will work well in real life scenarios except in exceptional cases.
本文提出了一个简单而高效的基于android的婚姻咨询信息系统。所开发的信息系统还包含一个以测验形式进行自我评价的模块。系统开发采用的方法是快速应用开发方法。使用的编程语言是Java, XML作为标记语言。该数据库的内容来自婚姻咨询专家撰写的在线资源。因此,除特殊情况外,系统提供的解决方案在现实生活场景中也能很好地工作。
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引用次数: 2
A Survey Paper on Architecture of Internet of Things 物联网架构研究综述
Sutapa Ray, Pritom Adhikary, Subrata lana, Saikat Mitra, T. Halder, M. Paul, Amrita Mukherjee, Koshika, A. De, Niloy Chakravorty, Rouble Goswami, Vaswati Kundu, Debojit Sarkar
Now a days with the advancement of technology Internet of Things(IOT) has grown up day by day to cater the need of variety of applications in various domains such as consumer applications, smart homes, medical andhealthcare, transportation, home automation, agriculture and many more. IOT may be considered as things or object connected to internet. The name Internet of Things was coined by Kevin Ashton and it was name so as multiple of technologies like sensors embedded systems, wireless sensor network(WSN), control system and machine learning contributed in making the concept of IOT. This paper presents a survey on different architectures of IOT and their challenges like wear ability, security, privacy etc.
现在,随着技术的进步,物联网(IOT)日益发展,以满足各种应用领域的需求,如消费应用,智能家居,医疗和医疗保健,交通,家庭自动化,农业等。物联网可以被认为是连接到互联网的事物或对象。物联网这个名字是由凯文阿什顿创造的,它的名字是由于传感器嵌入式系统,无线传感器网络(WSN),控制系统和机器学习等多种技术为物联网的概念做出了贡献。本文介绍了物联网的不同架构及其挑战,如磨损能力,安全性,隐私等。
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引用次数: 4
期刊
2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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