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991.
Accurate location or positioning of people and self-driven devices in large indoor environments has become an important necessity The application of increasingly automated self-operating moving transportation units, in large indoor spaces demands a precise knowledge of their positions. Technologies like WiFi and Bluetooth, despite their low-cost and availability, are sensitive to signal noise and fading effects. For these reasons, a hybrid approach, which uses two different signal sources, has proven to be more resilient and accurate for the positioning determination in indoor environments. Hence, this paper proposes an improved hybrid technique to implement a fingerprinting based indoor positioning, using Received Signal Strength information from available Wireless Local Area Network access points, together with the Wireless Sensor Networks technology. Six signals were recorded on a regular grid of anchor points, covering the research space. An optimization was performed by relative signal weighting, to minimize the average positioning error over the research space. The optimization process was conducted using a standard Quantum Particle Swarm Optimization, while the position error estimate for all given sets of weighted signals was performed using a Multilayer Perceptron (MLP) neural network. Compared to our previous research works, the MLP architecture was improved to three hidden layers and its learning parameters were finely tuned. These experimental results led to the 20% reduction of the positioning error when a suitable set of signal weights was calculated in the optimization process. Our final achieved value of 0.725 m of the location incertitude shows a sensible improvement compared to our previous results. 相似文献
992.
跨模态共指消解是根据人员交互意图对自然图像中所指目标的定位任务,作为智能人机交互领域的关键技术之一,能够应用于抢险救灾、家庭服务或养老助残等场景。现有的目标指代方法一般采用单模态信息表现人类意图,例如语言或者眼动等,然而单一的模态用户输入只能够传达有限的交互信息,难以实现自然而智能的人机协同。本文针对这一问题,同时融合眼动和语言信息,建立了跨模态共指消解模型,利用多种模态信息的优势互补,实现人类意图所指目标的图像定位任务。设计了对比试验,验证了本文提出的眼动-语言跨模态的融合方法性能优于单模态的输入形式。 相似文献
993.
Bangyou ZHU 《等离子体科学和技术》2022,24(12):124004
The acceleration grid power supply (AGPS) is a crucial part of the Negative-ion Neutral Beam Injection system in the China Fusion Engineering Test Reactor, which includes a 3-phase passive (diode) rectifier. To diagnose and localize faults in the rectifier, this paper proposes a frequency-domain analysis-based fault diagnosis algorithm for the rectifier in AGPS. First, time-domain expressions and spectral characteristics of the output voltage of the TPTL-NPC inverter-based power supply are analyzed. Then, frequency-domain analysis-based fault diagnosis and frequency-domain analysis-based sub-fault diagnosis algorithms are proposed to diagnose open circuit (OC) faults of diode(s), which benefit from the analysis of harmonics magnitude and phase-angle of the output voltage. Only a fundamental period is needed to diagnose and localize exact faults, and a strong Variable-duration Fault Detection Method is proposed to identify acceptable ripple from OC faults. Detailed simulations and experimental results demonstrate the effectiveness, quickness, and robustness of the proposed algorithms, and the diagnosis algorithms proposed in this article provide a significant method for the fault diagnosis of other rectifiers and converters. 相似文献
994.
K. S. Bhuvaneshwari J. Uma K. Venkatachalam Mehedi Masud Mohamed Abouhawwash T. Logeswaran 《计算机、材料和连续体（英文）》2022,71(1):683-695
Air pollution is one of the major concerns considering detriments to human health. This type of pollution leads to several health problems for humans, such as asthma, heart issues, skin diseases, bronchitis, lung cancer, and throat and eye infections. Air pollution also poses serious issues to the planet. Pollution from the vehicle industry is the cause of greenhouse effect and CO2 emissions. Thus, real-time monitoring of air pollution in these areas will help local authorities to analyze the current situation of the city and take necessary actions. The monitoring process has become efficient and dynamic with the advancement of the Internet of things and wireless sensor networks. Localization is the main issue in WSNs; if the sensor node location is unknown, then coverage and power and routing are not optimal. This study concentrates on localization-based air pollution prediction systems for real-time monitoring of smart cities. These systems comprise two phases considering the prediction as heavy or light traffic area using the Gaussian support vector machine algorithm based on the air pollutants, such as PM2.5 particulate matter, PM10, nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), and sulfur dioxide (SO2). The sensor nodes are localized on the basis of the predicted area using the meta-heuristic algorithms called fast correlation-based elephant herding optimization. The dataset is divided into training and testing parts based on 10 cross-validations. The evaluation on predicting the air pollutant for localization is performed with the training dataset. Mean error prediction in localizing nodes is 9.83 which is lesser than existing solutions and accuracy is 95%. 相似文献
995.
Xinyu Liu Logan Riney Josue Guerra William Powers Jiashu Wang Jacek K. Furdyna Badih A. Assaf 《半导体学报》2022,43(11):112502-1-112502-6
Ferromagnetic semiconductor Ga1–xMnxAs1–yPy thin films go through a metal–insulator transition at low temperature where electrical conduction becomes driven by hopping of charge carriers. In this regime, we report a colossal negative magnetoresistance (CNMR) coexisting with a saturated magnetic moment, unlike in the traditional magnetic semiconductor Ga1–xMnxAs. By analyzing the temperature dependence of the resistivity at fixed magnetic field, we demonstrate that the CNMR can be consistently described by the field dependence of the localization length, which relates to a field dependent mobility edge. This dependence is likely due to the random environment of Mn atoms in Ga1–xMnxAs1–yPy which causes a random spatial distribution of the mobility that is suppressed by an increasing magnetic field. 相似文献
996.
针对混响噪声下声源定位精度低和鲁棒性弱等问题,提出了多特征自适应IMM粒子滤波算法.该算法以麦克风接收信号的多特征作为观测信息,采用空时相关和迭代滤波建立了时延选择机制和波束输出能量优化机制,并在两者的基础上构建了似然函数以获得合理的声源位置信息.考虑到说话人运动的随机性,给出了自适应IMM算法,通过在线粒子集生成并将不同过程方差的模型进行交互来拟合说话人的不同运动模式,改善了说话人跟踪系统的稳健性.仿真和实测结果表明,所提算法利用了多特征定位信息的互补性,降低了观测误差不确定性对声源位置估计的影响,增强了随机运动声源跟踪系统的鲁棒性,提高了系统的定位精度. 相似文献
997.
998.
针对利用相机传感器模式噪声的篡改检测在待测 图像纹理复杂区域存在较高的虚警,提出了一种考 虑纹理复杂度的自适应阈值检测算法。根据Nyman-Pierson(N-P)准则,确定不同纹理复杂 度对应的相关性匹配 判定阈值,而得到相关性阈值与纹理复杂度的关系拟合函数。在不重叠分块计算待测 图像噪声残差 和其来源相机传感器模式噪声对应块相关性的基础之上,根据待测图像块不同的纹理复杂度 进行相关性匹 配,确定大致篡改位置;再用快速零均值归一化互相关(ZNCC) 算法计算两噪声图像中大致篡改区域对应点的相关性,实现精确定 位。在手机图像库上的实验表明,与现有的固定阈值方法相比,本文算法的检测率达 到了98.8%,而虚 警率仅为1.897%,有效地降低纹理复杂区域的虚警率,并实现对篡改 区域的精确定位;同 时,与传统的滑动窗口方法相比,本文算法检测效率平均提高了26倍 。 相似文献
999.
对中低压交联聚乙烯电缆的故障类型及测试方法进行了分析和梳理,发现对电缆中间件和终端头的故障类型及测试相对较为成熟,而针对电缆本体的相对较少。针对电缆本体主绝缘损伤的故障类型进行了人工复现及测试,着重对电缆的主绝缘损伤并伴随金属铜屏蔽和半导电带损伤的故障类型进行试验。详细描述了采用振荡波局放测试系统（OWTS）的过程,并对测试结果进行了分析,对局部放电点进行定位。结果表明OWTS系统可以对电缆本体损伤进行有效的检测和定位,可为XLPE电缆的检修和试验提供方法和依据。 相似文献
1000.
为研究以距离为观测量的主从式无人水面航行器(unmanned surface vehicle,USV)协同定位系统在不同运动状态下的定位性能问题,建立一种新的协同坐标系,并在该坐标系中推导主从USV运动模型,以主从USV相对距离为观测量分析主从式USV协同定位系统的可观测性及可观测度.同时,针对不可观测路径,提出通过改变控制输入的方法以达到提高系统可观测度的目的.通过MATLAB仿真实验与水面舰艇实验,结果表明:在不同情况下,通过调整控制输入的方法改变系统的可观测度是有效的;利用所提出的分析方法可以反映协同定位系统的定位性能,验证了所得结论及方法的有效性. 相似文献