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2015 IEEE International Conference on Electro/Information Technology (EIT)最新文献

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Firmware over the air ad-hoc network, FOTANET 固件通过空中自组织网络,FOTANET
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293326
Hesham A. Odat, A. Nsour, S. Ganesan
The automotive industry is growing rapidly. Many innovations are being focused on the automotive industry and the connected vehicles concept is becoming more reality than ever. The vehicle is being connected to the cloud for more features and better control. A previous paper, “Firmware Over the Air for Automotive, FOTAMOTIVE” was published [1]. One of the main challenges for FOTAMOTIVE is the cost of the bandwidth for over the air updates. This paper introduces a new solution to download the update files without the need of a connection to the internet. This new solution consists of downloading the update files from other vehicles within reasonable range that already have the update files via the Ad-Hoc Network architecture proposed in this paper. We are presenting Fotanet architecture, process flow chart, system components, vehicle cloud management, simulation and results. Based on the statistical data collected, an average visit to the dealer cost $150. The cost for an ECU update via Fotanet is free, but there are still some development and maintenance costs to the OEM. These costs are spread out to how many vehicles/ECU are being updated. The more updates there are, the less the cost will be. For example, if it cost one million dollars to develop and maintain Fotamotive and Fotanet, the cost per update would be $10 for 100k updates and $1 for 1 million updates. Based on the statistical data collected on the average number of vehicles sold by various OEMs, the cost is expected to be minimal.
汽车工业正在迅速发展。许多创新都集中在汽车行业,互联汽车的概念比以往任何时候都更加现实。该车正在与云连接,以获得更多功能和更好的控制。之前的一篇论文,“固件Over the Air for Automotive, fotamautomotive”发表[1]。fotammotive面临的主要挑战之一是无线更新的带宽成本。本文介绍了一种无需连接到internet即可下载更新文件的新方案。该解决方案通过本文提出的Ad-Hoc网络架构,从合理范围内已有更新文件的其他车辆上下载更新文件。我们将介绍Fotanet架构、流程流程图、系统组件、车辆云管理、仿真和结果。根据收集到的统计数据,平均一次拜访经销商要花费150美元。通过Fotanet更新ECU的费用是免费的,但OEM仍然需要支付一些开发和维护费用。这些费用分摊到正在更新的车辆/ECU的数量上。更新越多,成本就越低。例如,如果开发和维护fotammotive和Fotanet需要花费100万美元,那么每次更新的成本为10万次更新10美元,100万次更新1美元。根据各原始设备制造商的平均销量统计数据,预计成本将是最低的。
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引用次数: 4
Primary side regulated flyback AC-DC converter for LED's 用于LED的一次侧调节反激AC-DC变换器
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293329
Kali Vara Prasad Naraharisetti, P. Green
In this paper, the practical design of a single stage primary side regulated isolated flyback converter operating in boundary conduction mode is discussed. The results obtained using the IRS2983 control IC implemented for flyback topology revealed a power factor of greater than 0.97 and THD of less than 20%.
本文讨论了一种工作在边界导通模式下的单级一次侧调节隔离反激变换器的实际设计。使用IRS2983控制IC实现反激拓扑,结果表明功率因数大于0.97,THD小于20%。
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引用次数: 5
A multi-phase approach to floating-point compression 浮点数压缩的多阶段方法
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293348
Kevin Townsend, Joseph Zambreno
This paper presents a lossless double-precision floating point compression algorithm. Floating point compression can reduce the cost of storing and transmitting large amounts of data associated with big data problems. A previous algorithm called FPC performs well and uses predictors. However, predictors have limitations. Our program (fzip) overcomes some of these limitations, fzip has 2 phases, first BWT compression, second value and prefix compression with variable length arithmetic encoding. This approach has the advantage that the phases work together and each phase compresses a different type of pattern. On average, fzip achieves a 20% higher compression ratio than other algorithms.
提出了一种无损双精度浮点数压缩算法。浮点压缩可以降低存储和传输与大数据问题相关的大量数据的成本。之前一种叫做FPC的算法使用了预测器,表现很好。然而,预测器有其局限性。我们的程序(fzip)克服了这些限制,fzip有两个阶段,第一个BWT压缩,第二个值和前缀压缩与可变长度算术编码。这种方法的优点是各个阶段一起工作,每个阶段压缩不同类型的模式。平均而言,fzip的压缩比比其他算法高20%。
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引用次数: 8
A novel Multiple Hypothesis Testing (MHT) scheme for tracking of dim objects 一种新的用于模糊目标跟踪的多重假设检验(MHT)方案
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293370
Kaveh Ahmadi, E. Salari
Multiple Hypothesis Tracking (MHT) is an active field for the detection and tracking of low-observable small targets. Most of MHT algorithms are based on a search method in a large tree of possible tracks in a digital image sequence. Though, processing a tree structure with a significant number of branches in MHT has been a challenging issue. Tracking high-speed objects with traditional MHT requires some presumptions which limit the capabilities of these methods. This paper presents a novel MHT system in three steps to solve this problem. The process starts with the root of each track in the video sequence followed by a Particle Swarm Optimization (PSO) search to find the optimum tracks. Iterative process of PSO tries to refine each track. In the third step, the proposed algorithm merges all of the refined tracks related to an object. Efficiency of the proposed method is presented through the figures and tables in the simulation results section.
多假设跟踪(MHT)是低可观测小目标检测和跟踪的一个活跃领域。大多数MHT算法都是基于在数字图像序列中可能轨迹的大树中的搜索方法。然而,在MHT中处理具有大量分支的树结构一直是一个具有挑战性的问题。传统的MHT跟踪高速目标需要一些假设,这限制了这些方法的能力。本文分三步提出了一种新的MHT系统来解决这一问题。该过程从视频序列中的每个轨道的根开始,然后进行粒子群优化(PSO)搜索以找到最佳轨道。粒子群算法的迭代过程试图细化每条轨道。在第三步中,该算法将与目标相关的所有精炼轨道合并。仿真结果部分的图表说明了该方法的有效性。
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引用次数: 6
Navigation assistive system for the blind using a portable depth sensor 使用便携式深度传感器的盲人导航辅助系统
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293328
K. Yelamarthi, Kevin Laubhan
The lightweight and low-cost 3-dimensional depth sensors have gained much attention in the computer vision and robotics community. While its performance has been proven successful in the robotics community, these sensors have not been utilized successfully for many assistive devices. Leveraging on this gap, this paper presents the design, implementation, and preliminary evaluation of a haptic feedback system for the blind using 3-D depth sensors. The proposed portable system interprets the visual scene using the depth sensor, converts it into distance map, processes, and evaluates this information using a tablet computer. In addition, it provides haptic cues to the user through an array of vibration motors woven into the gloves. Throughout preliminary evaluation, this system has shown to successfully identify, track, and present closest objects, closest humans, multiple humans, and perform real-time distance measurements.
轻量化、低成本的三维深度传感器在计算机视觉和机器人领域受到广泛关注。虽然它的性能已经在机器人社区被证明是成功的,但这些传感器还没有成功地用于许多辅助设备。利用这一差距,本文介绍了盲人使用三维深度传感器的触觉反馈系统的设计、实现和初步评估。提出的便携式系统使用深度传感器解释视觉场景,将其转换为距离地图,使用平板电脑处理和评估该信息。此外,它还通过编织在手套中的振动马达阵列向用户提供触觉提示。在初步评估中,该系统已被证明能够成功识别、跟踪和呈现最近的物体、最近的人、多人,并进行实时距离测量。
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引用次数: 5
A repeated game approach for interference mitigation of priority-based Body Area Networks 基于优先级的体域网络干扰抑制的重复博弈方法
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293362
Ehsan Monsef, J. Saniie
In this paper, we address the issue of interference between Wireless Body Area Networks(WBANs) with different medical emergency levels. The inter-WBAN interference could potentially degrade the Quality of Service (QoS) performance of sensor nodes. Furthermore, such interference leads to a fatal situation when WBANs belong to patients with different emergency condition. A game-theoretic scheme is proposed to tackle the inter-WBAN interference issue and improve the reliability of data for WBANs with different emergency levels. We formulate the interference between WBANs as “infinite repeated game” and model the emergency levels using the heterogeneous discount factors. We propose a “grim” strategy for the repeated game and investigate the conditions in which this strategy holds “Subgame Perfect Equilibrium” property. Finally, we evaluate the performance of our approach using simulation model.
本文研究了不同医疗急救级别的无线体域网络(wban)之间的干扰问题。wban间的干扰可能会降低传感器节点的服务质量(QoS)性能。此外,当病人的急诊情况不同时,这种干扰会导致致命的情况。提出了一种解决wban间干扰问题的博弈论方案,提高了不同应急级别wban间数据的可靠性。我们将wban之间的干扰描述为“无限重复博弈”,并使用异质贴现因子对应急水平进行建模。我们提出了一个重复博弈的“严峻”策略,并研究了该策略具有“子博弈完全均衡”性质的条件。最后,我们使用仿真模型来评估我们的方法的性能。
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引用次数: 5
Histogram analysis for automatic blood vessels detection: First step of IOP 血管自动检测的直方图分析:IOP的第一步
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293333
Mohammad Aloudat, M. Faezipour
Most individuals do not realize they have a broken vein in the eye until somebody lets them know or they look in a mirror. This condition is not tormenting, but commonly creates obtuse trauma to the eye. Treatment is often not required for subconjunctival drainage. In the event that a patient has recognized the presence of blood in his or her eye, it may be fitting for him or her to look for medical consideration. While a subconjunctival drain is occasionally risky, hyphema (blood in the front assembly of the eye, between the cornea and the iris) is conceivably a more serious condition, with more serious outcomes. This paper first provides an overview of the most common techniques used to calculate the blood vessels in color images of the retina. Then, it presents a study that has been conducted to discuss the early steps of the intraocular pressure (IOP) detection in the eye, using histogram analysis.
大多数人都没有意识到他们眼睛里有一条静脉破裂,直到有人告诉他们,或者他们照镜子。这种情况并不痛苦,但通常会对眼睛造成钝性创伤。结膜下引流通常不需要治疗。如果病人意识到他或她的眼睛里有血,他或她就应该去看医生了。虽然结膜下引流偶尔会有风险,但可以想象,前房积血(角膜和虹膜之间的眼球前部积血)是一种更严重的疾病,会带来更严重的后果。本文首先概述了用于计算视网膜彩色图像中血管的最常用技术。然后,它提出了一项研究,已经进行了讨论眼内眼压(IOP)检测的早期步骤,使用直方图分析。
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引用次数: 6
Indoor localization and navigation for a mobile robot equipped with rotating ultrasonic sensors using a smartphone as the robot's brain 装有旋转超声波传感器的移动机器人的室内定位和导航,使用智能手机作为机器人的大脑
Pub Date : 2015-05-21 DOI: 10.4018/IJHCR.2016010101
Jongil Lim, S. Lee, G. Tewolde, Jaerock Kwon
Identifying the exact current location of a robot is a fundamental prerequisite for successful robot navigation. To precisely localize a robot, one popular way is to use particle filters that estimate the posterior probabilistic density of a robot's state space. But this Bayesian recursion approach is computationally expensive. Most microcontrollers in a small mobile robot cannot afford it. We propose to use a smartphone as a robot's brain in which heavy-duty computations take place whereas an embedded microcontroller on the robot processes rudimentary sensors such as ultrasonic and touch sensors. In our design, a smarphone is wirelessly connected to a robot via Bluetooth by which distance measurements from the robot are sent to the smartphone. Then the smartphone takes responsible for computationally expensive operations like executing the particle filter algorithm. Also we propose to use rotating ultrasonic sensors to reduce the number of sensors needed as well as time of distant measurements. In this paper, we designed a mobile robot and its control architecture to demonstrate that the robot can navigate indoor environment while avoiding obstacles and localize its current position. Several experiments were conducted to show feasibility of the rotating sensors and a smartphone brain for a mobile robot.
识别机器人当前的准确位置是机器人成功导航的基本前提。为了精确定位机器人,一种流行的方法是使用粒子滤波来估计机器人状态空间的后验概率密度。但是这种贝叶斯递归方法在计算上是昂贵的。大多数小型移动机器人的微控制器都负担不起。我们建议使用智能手机作为机器人的大脑,其中进行繁重的计算,而机器人上的嵌入式微控制器处理基本的传感器,如超声波和触摸传感器。在我们的设计中,智能手机通过蓝牙与机器人无线连接,机器人的距离测量数据通过蓝牙发送到智能手机。然后,智能手机负责执行粒子过滤算法等计算成本高昂的操作。我们还建议使用旋转超声传感器,以减少所需的传感器数量和远程测量的时间。在本文中,我们设计了一个移动机器人及其控制体系结构,以证明机器人可以在室内环境中导航,同时避开障碍物并定位其当前位置。为了证明旋转传感器和智能手机大脑用于移动机器人的可行性,研究人员进行了几项实验。
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引用次数: 31
Performance evaluation of energy efficient intelligent elevator controllers 节能智能电梯控制器的性能评价
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293320
M. Z. Hasan, R. Fink, M. R. Suyambu, M. Baskaran, Daryl James, Jesus Gamboa
Recently, several measures are being taken to conserve energy without degradation in performance. To achieve notable energy savings in elevator systems, in this paper we develop and experimentally test an algorithm. Operation of an elevator can be classified into two modes: running mode and stand-by mode. We design an elevator system capable of energy-saving by manipulating its speed in running mode. Speed is varied based on the difference of load carried and the counter weight. A miniature elevator model is used to carry out the experiments and to collect energy data. The algorithm is tested on different traffic patterns: 1) pre-determined pattern, and 2) random pattern. Voltage and current samples are collected from the miniature elevator model, The final energy data of variable speed system are calculated and compared with energy data of constant speed system. This proposed method results in a 3.715% energy savings for pre-determined traffic pattern and 8.7612% energy savings for random traffic patterns.
最近,正在采取一些措施来节约能源而不降低性能。为了在电梯系统中实现显著的节能,本文开发了一种算法并进行了实验测试。电梯的运行可分为两种模式:运行模式和待机模式。设计了一种在运行模式下通过控制电梯速度实现节能的电梯系统。速度根据负载和计数器重量的不同而变化。利用微型电梯模型进行实验并采集能量数据。该算法在两种不同的流量模式下进行了测试:1)预定模式和2)随机模式。从微型电梯模型中采集电压和电流样本,计算变速系统的最终能量数据,并与恒速系统的能量数据进行比较。该方法对预定交通模式节能3.715%,对随机交通模式节能8.7612%。
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引用次数: 0
Identification and extraction of all real axis poles and zeros in RC and RL circuits 识别和提取所有实轴极点和零点在RC和RL电路
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293375
R. Hashemian
A graphical/numerical technique is presented for the extraction of roots (poles and zeros) of RC and RL circuits, where the roots lay on the real axis in the s-plane. The method constructs a corresponding LC circuit for the RC or RL circuit, and as demonstrated, all real axis roots are shifted to the jω axis, where the swiping-frequency signals exit. The process takes place in two steps: in the first step the roots in the real axis RHP (RRHP), if any, are mirrored to the real axis LHP (RLHP), and in the second step the roots on the RLHP are moved to the jω axis. It is also shown that the magnitude of the corresponding roots in the two circuits, RC (or RL) and the corresponding LC, relate by a scaling factor log(ωC) = log(ωR)/2.
提出了一种图形/数值技术,用于提取RC和RL电路的根(极点和零点),其中根位于s平面的实轴上。该方法为RC或RL电路构建了相应的LC电路,如图所示,所有实轴根都移到jω轴上,在jω轴上输出切换频率信号。这个过程分两步进行:第一步,实轴RHP (RHP)中的根(如果有的话)被镜像到实轴LHP (RLHP)中,第二步,RLHP上的根被移动到jω轴上。结果还表明,RC(或RL)和LC两个电路中对应根的幅值与比例因子log(ωC) = log(ωR)/2有关。
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引用次数: 2
期刊
2015 IEEE International Conference on Electro/Information Technology (EIT)
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