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Reduction noise in noncontact physical system 非接触物理系统的降噪
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160205
A. Alzaidi, Baqer Turki Atya, Nabil Jalil Aklo, Nuvara Gupta, Tariq Alshagran
Physical body signals such as (ECG, EEG) usually interference with high frequency noises, like powerline interference, electromyography (EMG) noise, and equipment's with high vibration which cause wrong reading or effect on our final benefit from [1-2]. One of the most effect method to cancel and reduce all contaminate noise by using adaptive filters which requires an external reference to estimate the noise and, in turn, subtracting it from the noisy ECG or ECEG. However, this is often ineffective due to the fact that the reference signal cannot be well-correlated with the noise part in the primary input. An adaptive structure used to deal with the noise without the need of external reference is addressed in this paper[1-3]. Basic idea behind this is due to the fact that ECG signals can be treated as periodic signals in some frequencies. This makes it possible for an adaptive filter to estimate the clean ECG signal from the noisy one. The usefulness of this approach is confirmed by using simulated ECG as well as real ECG from the database Patient. CHD.
身体信号(心电、脑电图)通常会受到高频噪声的干扰,如电力线干扰、肌电(EMG)噪声和设备的高振动,导致错误读取或影响我们的最终收益[1-2]。使用自适应滤波器是消除和减少所有污染噪声的最有效方法之一,该方法需要一个外部参考来估计噪声,然后从有噪声的心电或脑电图中减去噪声。然而,这通常是无效的,因为参考信号不能很好地与主输入中的噪声部分相关。本文提出了一种不需要外部参考就能处理噪声的自适应结构[1-3]。这背后的基本思想是由于心电信号可以被视为某些频率的周期信号。这使得自适应滤波器能够从噪声信号中估计出干净的心电信号。通过模拟心电和数据库Patient的真实心电,验证了该方法的有效性。冠心病。
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引用次数: 1
Activity tracker technologies for older adults: Successful adoption via intergenerational telehealth 老年人活动跟踪技术:通过代际远程医疗成功采用
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160200
J. Lebron, Kimberly Escalante, J. Coppola, Chris Gaur
Over the last few decades, telehealth has emerged as another segment of the healthcare continuum. People are now able to gain more control over the care that is provided to them because telehealth technologies allow people to monitor and report the data that is collected to their healthcare providers. It is the providers of healthcare who then interpret the results and take necessary action. This study will observe how the provision of a wireless activity tracker influences the conscious health attitudes and behaviors in a sample of elderly participants who reside in an assisted living facility. This study will focus on the attitudes of the participants as determined by a self-report before the launch of an eight-week telehealth program, as well as at the conclusion of the program. To measure health behaviors, data was collected in regards to weight and blood pressure, as well as daily steps taken, calories burned, and distance travelled. This study is unique, thus any findings should be further studied and developed to better understand the efficacy, as well as outcomes of introducing a wireless activity tracker to any telehealth program. All information that was collected was with the consent of each individual resident, in accordance with the Health Insurance Portability and Accountability Act of 1996 (HIPAA). The information collected by the wireless activity tracker was synchronized to the Fitbit® website (fitbit.com). The health vitals were taken by using a Bluetooth scale and an automated blood pressure cuff. The information was then recorded by the college students and entered into MyHealthPoint charts (myhealthpoint.com). This paper is to present the information gathered regarding the resident's weight and blood pressure; steps taken, calories burned, and distance travelled; demographics; various health conditions, as well as each resident's opinions regarding the activity tracker and the program in general. The goal of the research is to see how participants respond to the use of the wireless activity trackers and how the use of such a device affects their conscious health decisions and ultimately, the health of the residents.
在过去的几十年里,远程医疗已经成为医疗保健连续体的另一个部分。人们现在能够更好地控制向他们提供的护理,因为远程医疗技术使人们能够监测并向其医疗保健提供者报告收集到的数据。然后由医疗保健提供者解释结果并采取必要的行动。本研究将观察无线活动追踪器的提供如何影响居住在辅助生活设施的老年参与者样本中的有意识的健康态度和行为。本研究将侧重于参与者在启动为期八周的远程医疗计划之前以及计划结束时的自我报告所确定的态度。为了衡量健康行为,研究人员收集了有关体重和血压的数据,以及每天走的步数、燃烧的卡路里和行走的距离。这项研究是独一无二的,因此任何发现都应该进一步研究和发展,以更好地了解功效,以及将无线活动跟踪器引入任何远程医疗计划的结果。根据1996年《健康保险流通与责任法案》(HIPAA)的规定,收集的所有信息都得到了每位居民的同意。无线活动跟踪器收集的信息同步到Fitbit®网站(fitbit.com)。通过使用蓝牙秤和自动血压袖带测量健康指标。这些信息随后被大学生记录下来,并输入MyHealthPoint图表(myhealthpoint.com)。这篇论文是为了展示收集到的关于居民体重和血压的信息;走了多少步,燃烧了多少卡路里,走了多少距离;人口结构;各种健康状况,以及每个居民对活动跟踪器和总体计划的意见。这项研究的目的是观察参与者对使用无线活动追踪器的反应,以及这种设备的使用如何影响他们有意识的健康决策,并最终影响居民的健康。
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引用次数: 13
A multi criteria decision making approach to model selection for semiconductor manufacturing process simulation 半导体制造过程仿真模型选择的多准则决策方法
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160199
Gonca Altuger-Genc, Lucy Tzitzimititla
This study examines the manufacturing portion of the semiconductor supply chain, and presents three different models to analyze the manufacturing process. The models have different levels of complexity, detail and features. The best-fitting modeling approach is selected using a multi criteria decision-making process.
本研究考察了半导体供应链的制造部分,并提出了三种不同的模型来分析制造过程。这些模型具有不同程度的复杂性、细节和特征。使用多准则决策过程选择最佳拟合建模方法。
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引用次数: 0
Looking into the effects of minutia quality on matching sub-templates 探讨细节质量对子模板匹配的影响
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160173
Qinghai Gao
Modern automated fingerprint identification systems use minutia templates for matching, during which the coordinates and orientations of minutiae obtained through feature extraction are utilized to generate a score. The feature extraction stage also assigns each minutia a quality score to indicate the image quality at the position of the minutia. Even though the quality score of a minutia is not used in matching, it can affect the matching score significantly. In this paper, we investigate the effects of minutia quality on matching a template against its sub-templates. Specifically, we study the effects of minutia quality on constructing sub-templates and the effects of randomized quality modifications on matching. Experimental results are reported.
现代指纹自动识别系统使用细节模板进行匹配,匹配过程中利用特征提取得到的细节的坐标和方向来生成分数。特征提取阶段还为每个细节分配一个质量分数,以指示细节位置的图像质量。即使不使用细节的质量分数进行匹配,它也会显著影响匹配分数。在本文中,我们研究了细节质量对模板与其子模板匹配的影响。具体而言,我们研究了细节质量对子模板构建的影响以及随机质量修改对匹配的影响。并报道了实验结果。
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引用次数: 1
A wireless tracking system for at-home medical equipment during natural disasters 一种用于自然灾害期间家用医疗设备的无线跟踪系统
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160188
David Li
Electricity-operated durable medical equipment (DME), such as ventilators, dialysis machines, and patient monitoring devices, are life-supporting machines used extensively by patients at home. While convenient and economical, at-home use of DME is susceptible to power outages, especially the ones caused by natural disasters that often occur in large area and for a long duration. There is little existing technology allowing hospitals to monitor DME-dependent patients without using the current infrastructure, such as the landlines, the cell towers, Ethernet cable or the Internet. Reported herein is a novel wireless system that utilizes a radio ad hoc network to automatically report the patient's information and location, and the DME information and status to a nearby hospital when a power outage is detected. This system consists of two parts: a hospital-based receiving device, called the Base Station node, and multiple transmitting devices, called User Nodes, each connected to the DME at patients' homes. The Base Station and User Nodes is each built with a Teensy® microcontroller, a GPS receiver module, and an Xbee® radio implementing the Zigbee® protocol. Additionally, each User Node contains a status LED and an internal lithium-ion battery connected by a charge controller. User Nodes are programmed to obtain the GPS location of the patient, monitor the DME status, communicate with nearby nodes, transmit the data and relay information to the Base Station through the radio ad hoc network the nodes form in the case of a power outage. The Base Station device is programmed to receive and convey the information transmitted from the User Nodes to a nearby hospital's patient monitoring computer through a USB connection. This system works without relying on the infrastructure, and allows hospital staff to know the information and locations of DME and their users and provide help needed during power outages.
电力操作的耐用医疗设备(DME),如呼吸机、透析机和患者监护设备,是患者在家中广泛使用的生命维持机器。家庭使用二甲醚虽然方便、经济,但容易停电,特别是由于自然灾害造成的大面积、长时间停电。目前几乎没有技术允许医院在不使用现有基础设施(如固定电话、手机信号塔、以太网电缆或互联网)的情况下监测依赖二甲醚的病人。本文报道了一种新颖的无线系统,该系统利用无线自组织网络在检测到停电时自动向附近医院报告患者信息和位置以及DME信息和状态。该系统由两部分组成:一个基于医院的接收设备(称为基站节点)和多个传输设备(称为用户节点),每个设备都连接到患者家中的DME。基站和用户节点均由一个Teensy®微控制器、一个GPS接收器模块和一个实现Zigbee®协议的Xbee®无线电组成。此外,每个用户节点都包含一个状态LED和一个内部锂离子电池,由充电控制器连接。用户节点被编程为获取患者的GPS位置、监测DME状态、与附近节点通信、传输数据并通过节点在停电情况下形成的无线电自组织网络将信息中继到基站。基站设备被编程为接收并通过USB连接将来自用户节点的信息传输到附近医院的患者监控计算机。该系统不依赖于基础设施,允许医院工作人员了解DME及其用户的信息和位置,并在停电期间提供所需的帮助。
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引用次数: 0
Roll angle estimation of airborne vehicles using the minimal array of atmospheric temperature sensors 基于最小大气温度传感器阵列的飞行器侧倾角估计
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160189
D. Broderick, Christopher G. Wilson
The use of low-cost thermopile sensors for aerial vehicle roll angle estimation was investigated as an alternative to GPS reliant navigation solutions. The minimal number of measurements necessary to estimate vehicle roll was determined. A physics-based sensor model was used to investigate the effect on estimate error over sensor field-of-view angle and for nonminimal sensor sets. The bound on error introduced by the reduced-fidelity sensor model used for estimation was detailed and discussed. The performance of the minimal, three sensor array was contrasted with a larger array and demonstrated that sub-degree accuracy is possible with the method of estimation introduced here.
研究了低成本热电堆传感器在飞行器滚转角估计中的应用,作为依赖GPS导航的替代方案。确定了估算车辆侧倾所需的最小测量次数。采用基于物理的传感器模型研究了传感器视场角度和非最小传感器集对估计误差的影响。详细讨论了用于估计的降保真度传感器模型引入的误差界。将最小三传感器阵列的性能与较大阵列的性能进行了对比,并证明了采用本文介绍的估计方法可以实现次度精度。
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引用次数: 1
Distributed generation unit allocation utilizing expert system with reliability and voltage sag consideration 考虑可靠性和电压暂降的专家系统分布式发电机组分配
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160195
Sahar A. Moussa
The advent of distributed generation (DG) units has posed many problems to the planning and operation of distribution networks (DS). The selection of the “best” site for the DG installation is a major problem in this context. Different strategies and methods have been developed in the recent years which deal with this problem. However, Complexity of solutions and inadequate manipulation have hindered their utilization by DS planners. This paper presents a robust and practical tool which helps the distribution network planner in getting the best possible location of DG unit taking into account both reliability of supply and voltage sag problems. The method suggested uses knowledge-base expert system (ES) to help in selecting the appropriate locations. The method suggested is based on economic and technical considerations. It investigates with economic loss due to both voltage sag and forced outage of DS components. It concerns with the effect of location of the added DG on the overall network performance during both steady-state when a forced outage occurring on one or more component of the DS and transients after sudden short-circuit. Using ES avoids mathematical complications of solving complex analytical model. By judicious rule-base ES, selection of optimum locations becomes clear and simple. The suggested method is explained and implemented through practical distribution network and its effectiveness is tested and discussed.
分布式发电机组的出现给配电网的规划和运行带来了许多问题。在这种情况下,选择DG安装的“最佳”地点是一个主要问题。近年来,人们制定了不同的策略和方法来解决这一问题。然而,解决方案的复杂性和不适当的操作阻碍了他们的利用的DS规划者。本文提出了一种实用的工具,可以帮助配电网规划人员在考虑供电可靠性和电压暂降问题的情况下确定DG机组的最佳位置。所建议的方法利用知识库专家系统(ES)来帮助选择合适的位置。所建议的方法是基于经济和技术方面的考虑。对电压暂降和DS部件强制停机造成的经济损失进行了调查。它关注的是添加DG的位置对整个网络性能的影响,包括当DS的一个或多个组件发生强制停电时的稳态和突然短路后的瞬态。使用ES避免了求解复杂分析模型的数学复杂性。通过明智的基于规则的ES,最佳位置的选择变得清晰和简单。通过实际配电网对该方法进行了说明和实施,并对其有效性进行了验证和讨论。
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引用次数: 3
Universal design with mobile app development: Bridging the Gap for the forgotten populations 通用设计与手机应用开发:弥合被遗忘人群的差距
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160201
Martine Nezerwa, Tony Chen, Jacob Fried-Stahl, Nivedita Joshi, Jake Terranova, Robert Wright, Christopher Carlson, Daniel Citardi, Michael DiMattia, Stefan Howansky, J. Coppola
In the last decades, the world has witnessed a record in the use of mobile technologies where there is almost as many mobile subscriptions as people in the world. In addition, almost two-thirds of smartphone users access the internet through their phones. The progression in mobile communications has spurred high interest in developing applications for this crucial market. Everyday millions of applications are developed and made available through the different appstores, i.e., Google Play, Apple store, BlackBerry World, etc. With 91% of Americans owning one or more cellphones, this is a crucial market to tap into for application developers. Due to progress in the health sciences and people awareness of the importance of following a healthier lifestyle, people are living longer leading to a demographic change where more and more nations have rapidly growing aging population. Thus, there will be a shortage of doctors to care for this fast growing aging population. Moreover, as the population ages managing multiple chronic diseases becomes a daily challenge. Also, given the size of the population, many more people will be diagnosed with dementia and Alzheimer's disease. Hence, proper measures are needed to encourage this population to act and think independently while taking advantage of what current technologies are offering. This paper will focus on developing mobile applications targeted for assisting select underserved audiences with affordable emerging technologies on Android and iOS platforms. These mobile apps address areas such as medical, social, and practical needs of the consumers, as well as their caregivers. Additionally, college computing students need to learn to create applications that are universally designed for all ages in terms of fonts, colors, buttons, etc.
在过去的几十年里,世界见证了移动技术使用的记录,移动用户几乎与世界人口一样多。此外,近三分之二的智能手机用户通过手机上网。移动通信的进步激发了人们对这个关键市场开发应用程序的高度兴趣。每天都有数以百万计的应用程序被开发出来,并通过不同的应用程序商店提供,如b谷歌Play,苹果商店,黑莓世界等。91%的美国人拥有一部手机或多部手机,这对应用程序开发人员来说是一个至关重要的市场。由于健康科学的进步和人们对健康生活方式重要性的认识,人们的寿命越来越长,导致人口结构发生变化,越来越多的国家人口老龄化迅速增长。因此,照顾快速增长的老龄化人口的医生将会短缺。此外,随着人口老龄化,管理多种慢性疾病成为一项日常挑战。此外,考虑到人口规模,将有更多的人被诊断患有痴呆症和阿尔茨海默病。因此,需要采取适当的措施,鼓励这群人在利用当前技术提供的优势的同时独立行动和思考。本文将专注于开发移动应用程序,以帮助那些在Android和iOS平台上使用可负担得起的新兴技术的弱势群体。这些移动应用程序解决了消费者及其护理人员的医疗、社交和实际需求等领域的问题。此外,大学计算机专业的学生需要学习创建适用于所有年龄段的应用程序,包括字体、颜色、按钮等。
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引用次数: 5
Improved pruning algorithms in multiscale real-time object detection 多尺度实时目标检测中的改进剪枝算法
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160198
Munther Abualkibash, A. Mahmood
Object detection is an important area of research in computer vision. One of the most popular approaches for object detection is based on combining many weak classifiers together to achieve one strong classifier through a technique called Boosting. A modified version of this technique for real-time face detection was developed by Viola and Jones, where a weak classifier is created by iteratively selecting a best single feature from a set of a very large number of potential features. During the detection process, there is a need to apply pruning techniques on the candidate results from different scales to eliminate the weak candidates and keep the most promising one. This paper presents improved pruning algorithms that result in reducing the number of false positives. For object detection, a complete framework is implemented based on Viola and Jones, then the proposed pruning algorithms are applied to obtain better detection results.
目标检测是计算机视觉的一个重要研究领域。最流行的目标检测方法之一是将许多弱分类器组合在一起,通过一种称为Boosting的技术来实现一个强分类器。Viola和Jones开发了该技术的改进版本,用于实时人脸检测,其中弱分类器通过迭代地从大量潜在特征中选择最佳单个特征来创建。在检测过程中,需要对不同尺度的候选结果进行剪枝处理,剔除弱候选结果,保留最有希望的候选结果。本文提出了一种改进的剪枝算法,可以减少误报的数量。在目标检测方面,基于Viola和Jones实现了一个完整的框架,然后应用所提出的剪枝算法来获得更好的检测结果。
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引用次数: 0
An energy efficient flooding protocol for enhanced security in Wireless Sensor Networks 一种提高无线传感器网络安全性的高能效泛洪协议
Pub Date : 2015-05-01 DOI: 10.1109/LISAT.2015.7160203
Johnu Celestine, Keerthi Vallepalli, Tushar Vinayaraj, Jasim Almotir, Abdelshakour A. Abuzneid
There have been a plethora of researches focusing on providing privacy for the base station in Wireless Sensor Networks. One of the proposed solutions is to use dummy data sources, where dummy traffic is introduced to obfuscate the real traffic. This makes the adversary no longer able to see difference between real and fake traffic. In this solution, every node becomes a dummy data source and sends dummy packets to neighbor nodes, which create dummy traffic and hide the real packet from adversary. This technique uses flooding method for routing. Every node sends the received packet to all its neighbor nodes except the one which initiated the process. However, this technique has several disadvantages, most important, large bandwidth and energy consumption. In this paper, we propose a novel protocol which uses dummy data sources with variable packet size to provide security and conserve energy in WSN.
关于无线传感器网络中基站的隐私保护问题已经有了大量的研究。提出的解决方案之一是使用虚拟数据源,其中引入虚拟流量来混淆真实流量。这使得对手不再能够看到真实和虚假流量之间的区别。在该方案中,每个节点都成为一个虚拟数据源,并向邻居节点发送虚拟数据包,从而产生虚拟流量,并对攻击者隐藏真实数据包。该技术使用泛洪方法进行路由。除了发起进程的节点外,每个节点将接收到的数据包发送给所有相邻节点。然而,这种技术有几个缺点,最重要的是,大带宽和能量消耗。本文提出了一种利用可变数据包大小的虚拟数据源来保证无线传感器网络安全性和节能的新协议。
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引用次数: 6
期刊
2015 Long Island Systems, Applications and Technology
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