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2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)最新文献

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Traffic Counting and Turning Fraction Estimation using Vehicle-to-UAV Co-operative communication 基于车-无人机协同通信的交通计数与转弯率估计
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862546
S. Sreenath, M. Panda
The current roads and supporting infrastructure are often found to be incapable of handling the rapid increase in traffic, leading to congestion and incidents. The availability of accurate and real-time information about the traffic demands may go a long way in designing better traffic control and management systems. Two important quantities of interest for traffic control are the ‘traffic count’ on road segments between junctions and ‘turning fractions’ at the junctions. Together, these two quantities can determine the traffic flow requirements over the road network. The aims of the paper are to investigate the performance of the Vehicle-to-UAV (V2U) communication method for traffic counting and turning fraction estimation using vehicular network simulations and compare with the performance of Bluetooth and loop detectors.
目前的道路和配套基础设施往往无法处理快速增长的交通,导致拥堵和事故。获得有关交通需求的准确和实时信息,可能对设计更好的交通控制和管理系统大有帮助。交通控制中两个重要的量是路口之间路段的“交通计数”和路口的“转弯分数”。这两个量可以共同确定路网上的交通流需求。本文的目的是利用车辆网络仿真研究车对无人机(V2U)通信方法在交通计数和转弯分数估计方面的性能,并与蓝牙和环路检测器的性能进行比较。
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引用次数: 1
Secured AI guided Architecture for D2D Systems of Massive MIMO deployed in 5G Networks 5G网络中大规模MIMO D2D系统的安全AI引导架构
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862712
A. Vijay, K. Umadevi
Security issues arises with the massive elevation in quantity of mobile users along with high data rate services proposed by 5G networks. D2D communication technique is an optimized method to support various demands on massive data transfer rates among the users in 5G networks. Massive MIMO (Multiple-input and Multiple-output) based antenna systems are deployed to achieve these huge data demands in 5G technology. However, the drawbacks owing to expanding computational overhead in methods of allocating resource, reducing interference, energy optimization and several other problems in D2D networks are compromised with the help of emerging technology of Explainable Artificial Intelligence (XAI). Furthermore, a novel approach based on AI is implemented with an Architectural design for D2D network in decision making over the implementation of techniques based on the persisting situation in the D2D network. Finally, Security protocols based on network demands are implemented through AI in D2D Communications of Massive MIMO based 5G Networks
随着移动用户数量的大幅增加,以及5G网络提出的高数据速率服务,安全问题也随之出现。D2D通信技术是支持5G网络中用户对海量数据传输速率的各种需求的优化方法。基于大规模MIMO(多输入和多输出)的天线系统在5G技术中被部署以实现这些巨大的数据需求。然而,在可解释人工智能(XAI)这一新兴技术的帮助下,D2D网络在资源分配、减少干扰、能量优化和其他几个问题上的计算开销增加所带来的缺点得到了解决。在此基础上,提出了一种基于人工智能的D2D网络决策体系结构设计方法。最后,在基于Massive MIMO的5G网络的D2D通信中,通过AI实现基于网络需求的安全协议
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引用次数: 7
Fault Detection using hybrid of KF-ELM for Wireless Sensor Networks 基于混合KF-ELM的无线传感器网络故障检测
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862687
P. Biswas, Raghavaraju Charitha, S. Gavel, A. S. Raghuvanshi
The adoption of data aggregation depending on data fusion and data acquisition for wireless sensor networks (WSN) is increasing these days. While in WSN, the sensor node senses data and send them to the end node. The application of WSN gets limited due to its features such as low-cost sensor nodes, limited battery backups. The usage of sensor nodes in WSN becomes prone to faulty behavior due to its resource constraint and easily gets defected. Predictive detection using data fusion can be a better choice in order to detect the fault with low transmission energy and low power usage. Considering the conditions of the sensor node with its limited capacity of storing and processing of data, a hybrid predictive classification technique is proposed by using the Kalman filter with Extreme learning machine. Here for data fusion Kalman filter is used to train the sink node with the faulty pattern of data in place of training it with the larger amount. In addition, Extreme learning machine (ELM) is used as a predictive classifier, which can provide a high prediction with low communication overhead. The proposed work is evaluated using standard WSN data by inserting random anomalies to it. The performance is measured in terms of detection accuracy and computational time.
近年来,基于数据融合和数据采集的数据聚合在无线传感器网络(WSN)中的应用越来越多。而在WSN中,传感器节点感知数据并将其发送到终端节点。由于传感器节点成本低、备用电池有限等特点,无线传感器网络的应用受到了限制。在无线传感器网络中,由于资源的限制,传感器节点的使用容易出现错误行为,容易出现缺陷。对于低传输能量、低功耗的故障检测,采用数据融合的预测检测是一种较好的选择。针对传感器节点存储和处理数据能力有限的情况,提出了一种基于卡尔曼滤波和极限学习机的混合预测分类技术。在数据融合中,采用卡尔曼滤波对数据模式错误的汇聚节点进行训练,而不是对数据量较大的汇聚节点进行训练。此外,使用极限学习机(Extreme learning machine, ELM)作为预测分类器,可以在低通信开销的情况下提供高预测。通过在标准WSN数据中插入随机异常,对所提出的工作进行评估。性能是根据检测精度和计算时间来衡量的。
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引用次数: 10
Investigate Feasibility of Model-Based Design Approach to Develop a Biped Walking Robot 研究基于模型的两足步行机器人设计方法的可行性
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862755
A. Babu, B. Kotturshettar, A. Giriyapur
Legged motion has significant advantages over traditional locomotion techniques. Research and development on it have been constantly improving over the last couple of decades. Though there are numerous techniques in developing legged biped motion, none of them is fully satisfactory. The main aspects of legged motion are active balancing, smooth pattern generation and control. These play an important role in legged motion and there are numerous techniques developed to achieve it. The research that is shown in this project is to implement model-based design methodology in developing ZMP stability algorithm. The main area that is been concentrated in the implementation of hardware-in-loop (HIL) simulation using an xPC – target computer. The robot walking gait is generated by developing a Simulink plant model where the joint angles are tested on a virtual simulation platform.
与传统的运动技术相比,腿部运动具有显著的优势。在过去的几十年里,对它的研究和开发一直在不断改进。虽然有许多技术在发展腿两足运动,没有一个是完全令人满意的。腿部运动的主要方面是主动平衡、平滑模式生成和控制。这些在腿部运动中起着重要的作用,有许多技术被开发出来实现它。本课题的研究内容是将基于模型的设计方法应用于ZMP稳定性算法的开发。本文主要研究了利用xPC -目标计算机实现硬件在环仿真。通过建立Simulink工厂模型生成机器人的步行步态,并在虚拟仿真平台上测试机器人的关节角度。
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引用次数: 2
Design and Development of IoT Based Water Quality Measurement System 基于物联网的水质测量系统的设计与开发
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862663
Rushikesh Kshirsagar, R. Mudhalwadkar, Saish Kalaskar
Water is an essential need for human survival and the quality of the water always affects human health. If water is contaminated its leads to severe diseases. For the same reason, we must monitor the quality of the water. We can determine the quality of the water by measuring its parameters like pH, Conductivity and Turbidity. This paper presents the idea about low-cost IOT based portable approach for water quality measurements system. Because of its low-cost approach, everyone can afford to use it to determine quality of water. Due to IOT (internet of things), remote measurement is possible. The signal conditioning of all three sensors uses the LMC 6001 IC in a different configuration and STM32F411RE microcontroller for the data acquisition and scaling of the data. SN8200 Wi-Fi module is interfaced with a microcontroller to send data on the cloud server. While doing the experiments all three sensors are calibrated against standard solution and relationship between temperature and pH is studied. All measured data stored on the cloud database and used for further analysis of water quality.
水是人类生存的基本需要,水的质量始终影响着人类的健康。如果水被污染,就会导致严重的疾病。出于同样的原因,我们必须监测水质。我们可以通过测量水的pH值、电导率和浊度等参数来确定水的质量。提出了一种基于物联网的低成本便携式水质测量系统。由于其低成本的方法,每个人都可以负担得起使用它来确定水的质量。由于物联网(IOT),远程测量成为可能。所有三个传感器的信号调理使用不同配置的LMC 6001 IC和STM32F411RE微控制器进行数据采集和数据缩放。SN8200 Wi-Fi模块与微控制器接口,在云服务器上发送数据。在实验过程中,对三种传感器进行了标准溶液校准,并研究了温度与pH值的关系。所有测量数据存储在云数据库中,用于进一步分析水质。
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引用次数: 3
A Survey on Data Placement Strategy in Big Data Heterogeneous Environments 大数据异构环境下数据放置策略研究
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862676
Anilkumar Ambore, Rani V. Udaya
In the present computerized world the extent of the information is expanding at an arbitrary speed. Simultaneously, need to process and examine huge amounts of information likewise expanded. In a few challenge commercial enterprise and logical programs, there's a want to technique petabytes of information in productive way day by day. Hadoop is most popularly used in data intensive applications. The current Hadoop usage accept that computing are homogeneous in nature. The capacity of tremendous amount of information in Hadoop is done using Hadoop Distributed File System (HDFS). HDFS employments block placement arrangement to part a really expansive record into pieces and place them over the cluster in a distributed way. In the present era of social networking, we cannot imagine having a cluster of homogeneous nodes only. Information region has not been taken under consideration for propelling theoretical outline assignments, since it is expected that the most mappings are data-local. To bargain with this Hadoop has usefulness to duplicate the information square where mappers are running. This makes a part of execution corruption particularly on heterogeneous cluster due to I/O delay or organize congestions In this survey we first brief introduction to the Big data, Hadoop and MapReduce. Later several data placement strategies in heterogeneous environment are studied.
在当今计算机化的世界里,信息的范围正以任意的速度扩展。同时,处理和检查大量信息的需求也随之扩大。在一些具有挑战性的商业企业和逻辑程序中,每天都需要以有效的方式处理数pb的信息。Hadoop最常用于数据密集型应用程序。目前Hadoop的使用接受了计算本质上是同质的。Hadoop中海量信息的容量是使用Hadoop分布式文件系统(HDFS)完成的。HDFS使用块放置安排来将一个非常庞大的记录分成几个块,并以分布式的方式将它们放在集群上。在当今的社交网络时代,我们无法想象只有一个同质节点的集群。在推进理论大纲分配时,没有考虑到信息区域,因为大多数映射都是数据局部的。为了解决这个问题,Hadoop可以复制运行映射器的信息方格。在异构集群上,由于I/O延迟或组织阻塞,这会导致执行失败。在本调查中,我们首先简要介绍了大数据、Hadoop和MapReduce。研究了异构环境下的数据放置策略。
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引用次数: 3
A Novel and Efficient Real Time Driver Fatigue and Yawn Detection-Alert System 一种新型高效的驾驶员疲劳与打哈欠实时检测预警系统
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862632
Misna Ali, Shahsad Abdullah, C. S. Raizal, K. Rohith, Varun G. Menon
Fatigue among drivers is a major cause of road accidents every year in India. Lack of sound sleep for six to eight hours is one of the primary reasons behind this fatigue. Drivers with sleep deprivation can imbalance the reaction time and decision making when behind the wheels and this can increase the cause of accidents. This type of accidents is more likely to result in death or severe injury as they tend to be in high speed and because of the fact that driver has fallen asleep cannot apply brake or skew to avoid or reduce the impact. Therefore, it is highly essential to create a smart system which can spot and alert the driver of his/her condition. Although there are few solutions proposed in this direction, most of them have not been implemented successfully and many of them only remain in theory. In this research paper, we propose an efficient driver fatigue detection and alert system using mainly open source technologies. We implement and test this system in real time and the results are highly encouraging compared to many existing systems.
司机疲劳是印度每年发生交通事故的主要原因。缺乏6到8小时的充足睡眠是造成这种疲劳的主要原因之一。睡眠不足的司机在驾驶时反应时间和决策不平衡,这可能会增加事故发生的原因。这种类型的事故更有可能导致死亡或严重伤害,因为它们往往是在高速行驶中,因为司机已经睡着了,不能使用刹车或倾斜来避免或减少冲击。因此,创建一个能够发现并提醒司机他/她的状况的智能系统是非常必要的。虽然在这个方向上提出的解决方案很少,但大多数都没有成功实施,其中许多只是停留在理论上。在本文中,我们提出了一个高效的驾驶员疲劳检测和警报系统,主要采用开源技术。我们对该系统进行了实时实现和测试,与许多现有系统相比,结果非常令人鼓舞。
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引用次数: 7
Development of Electrical Impedance Sensor System for Milk Adulteration (A1 and A2) 牛奶掺假电阻抗传感器系统的研制(A1和A2)
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862733
N. M. Wadalkar, R. Mudhalwadkar, Akshay A. Sulkekar
Milk is nutrient rich food which seems to have no adequate substitute. A1 and A2 are specific type of proteins found in cow's milk with different proportion depending upon breed to the cattle. The intake of $beta$ casin protein with A1 and A2 milk leads to the health disease. Since, purpose of this paper is not to find which type of milk is better for consumption. Though the use of A1 and A2 type of milk varies but adulteration method of milk is common. Usually the milk is adulterated with common adulterants such as sodium hydroxide, hydrogen peroxide, formaldehyde. The paper proposed a methodology for detection of milk adulteration in A1 and A2 type of milk by using electrical impedance measurement.
牛奶是营养丰富的食物,似乎没有足够的替代品。A1和A2是牛奶中发现的特定类型的蛋白质,根据牛的品种不同,它们的比例不同。与A1和A2牛奶一起摄入β -酪蛋白会导致健康疾病。因此,本文的目的并不是要找出哪种牛奶更适合食用。虽然A1和A2型牛奶的使用有所不同,但掺假牛奶的方法是常见的。通常牛奶中会掺入常见的掺假物,如氢氧化钠、过氧化氢、甲醛等。本文提出了一种用电阻抗法检测A1和A2型牛奶掺假的方法。
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引用次数: 1
Integrated Multilevel Converter Topology for Speed Control of SRM Drive in Plug in-Hybrid Electric Vehicle 插电式混合动力汽车SRM驱动速度控制的集成多电平变换器拓扑
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862524
Vaishnavi V. Hadke, Mohan P. Thakre
A multilevel converter topology for switched reluctance motor (SRM) drive with integration of front end circuit is appealing for electric vehicle. As SRM carries the highlights like simple construction, high reliability, high fault tolerance capability and low production cost. However, the high torque ripples, running vibrations and acoustic noise are the major drawbacks in SRM. In proposed theory of a multilevel converter for five phase SRM drive overcome this drawbacks and flip it into advantages like high torque range, low torque ripple and vibration free response with flexible speed control. This paper represents a operating theory and simulation results of five phase muliltlevel converter for SRM drive. Which results, with increasing the number of phases the system performance is increase without increasing the number of switching devices and a comparison is shown based on torque speed characteristics of motor when fed from proposed converter and a asymmetric half bridge converter for different condition. This analysis states the proposed converter topology is advantages over the conventional converter topology, especially for the high speed response.
一种集成前端电路的开关磁阻电机驱动多电平变换器拓扑结构在电动汽车领域具有广泛的应用前景。SRM具有结构简单、可靠性高、容错能力强、生产成本低等优点。然而,高转矩波动、运行振动和噪声是SRM的主要缺点。本文提出的五相SRM驱动的多电平变换器理论克服了这一缺点,使其具有高转矩范围、低转矩脉动和灵活调速的无振动响应等优点。本文介绍了一种用于SRM驱动的五相多电平变换器的工作原理和仿真结果。结果表明,在不增加开关器件数量的情况下,随着相数的增加,系统性能有所提高,并比较了电机在不同条件下由该变换器和非对称半桥变换器供电时的转矩速度特性。分析表明,所提出的变换器拓扑结构优于传统的变换器拓扑结构,特别是在高速响应方面。
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引用次数: 13
Energy Efficient Data Transmission in Sensor Cloud : A Review 传感器云中的高效数据传输:综述
Pub Date : 2019-04-01 DOI: 10.1109/ICOEI.2019.8862759
Mohammad Farhan Khan, Rajendra Kumar Dwivedi, Rakesh Kumar
Sensor doud is the integration of wireless sensor networks (WSN) and cloud computing. This integration is beneficial for both WSN providers and cloud service providers. WSN data can be kept over the cloud which can be efficiently used by several applications and through this integration the cloud provider can deliver sensor- as a- service. In sensor cloud, there are multiple physical sensor networks which are mapped with the virtual sensor networks using cloud in order to provide effective services to the users. End users are facilitated to execute multiple applications of WSNs through such VSNs. Some applications can also demand more than one WSN at a time. Although sensor doud has several advantages, still it has many research issues like energy efficiency, security, data transmission, QoS etc. This paper initiates a survey on energy efficient data transmission in sensor cloud which discusses and compares the existing techniques of this field.
传感器云是无线传感器网络(WSN)与云计算的融合。这种集成对WSN提供商和云服务提供商都是有益的。WSN数据可以保存在云上,可以被多个应用程序有效地使用,通过这种集成,云提供商可以提供传感器即服务。在传感器云中,为了向用户提供有效的服务,存在多个物理传感器网络,这些物理传感器网络与使用云的虚拟传感器网络进行映射。最终用户可以通过该虚拟网络方便地执行wsn的多个应用。一些应用程序也可能一次需要多个WSN。尽管传感器技术具有诸多优点,但其在节能、安全、数据传输、服务质量等方面仍存在许多有待研究的问题。本文对传感器云中的节能数据传输技术进行了综述,并对该领域的现有技术进行了讨论和比较。
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引用次数: 2
期刊
2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)
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