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2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC)最新文献

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Design of handheld positioning tracker based on GPS/GSM 基于GPS/GSM的手持定位跟踪器设计
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122477
Xin Ge, Runan Gu, Yifan Lang, Yinyue Ding
GPS positioning technology and GSM wireless communication technology have been widely used in the military field and urban transportation and other civilian areas. Aiming at the singularity of handheld positioner function on the market, this paper designs a combination device of handheld positioner and tracker. By extracting GPS navigation information frame parameters and GSM wireless data transmission. The realization of the tracker in the TFT LCD screen real-time display itself and the tracking side (i.e., the position of the relative position information) function, completed conversion from latitude and longitude coordinates to Cartesian coordinates. The device can be used for the loss of items, the elderly children tracking and geo-location data mapping, data accuracy, easy operation.
GPS定位技术和GSM无线通信技术已广泛应用于军事领域和城市交通等民用领域。针对市面上手持定位器功能单一的问题,设计了一种手持定位器与跟踪器的组合装置。通过提取GPS导航信息帧参数和GSM无线数据传输。实现了跟踪器在TFT液晶屏上实时显示自身与被跟踪方(即位置的相对位置信息)的功能,完成了从经纬度坐标到笛卡尔坐标的转换。该设备可用于对丢失物品、老人子女的追踪和地理位置数据的测绘,数据准确,操作方便。
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引用次数: 9
Requirements analysis and application research of big data in power network dispatching and planning 大数据在电网调度规划中的需求分析与应用研究
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122436
Xiao Han, Xinying Wang, Hao Fan
It has become a general consensus that smart grid is one of the most important technical fields for big data technology application. Power network dispatching and planning is fundamental to power industry development and construction, however, massive power data is still manually filled in, dispatching method and planning design method relies heavily on experience and single data source. This paper firstly described smart grid big data and its characteristics. Secondly, the overall big data business requirements and application scenarios in energy area were summarized. Afterwards, big data requirements and enhancements throughout the entire power network planning process were analyzed. Finally, practical research projects were demonstrated, and the technological framework on big data in power network planning was presented.
智能电网是大数据技术应用的重要技术领域之一,已成为普遍共识。电网调度规划是电力工业发展和建设的基础,但大量的电力数据仍然是手工填写的,调度方法和规划设计方法严重依赖经验和单一数据源。本文首先介绍了智能电网大数据及其特点。其次,总结了能源领域的整体大数据业务需求和应用场景。随后,分析了整个电网规划过程中的大数据需求和增强。最后,对实际研究项目进行了论证,提出了大数据在电网规划中的技术框架。
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引用次数: 7
The improved method of setting threshold in innovation graph technique 创新图技术中阈值设置的改进方法
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122341
Hongwei Kang, Suquan Zhou
State estimation is the foundation of energy management system. The innovation graph state estimation has an advantage over traditional state estimation in identifying bad data. We infer the distribution function of innovation difference and set the threshold in certain false drop rate, which provides the theoretical basis for identifying bad data in mathematics. The range of acceptable measuring error depends on the accuracy of corresponding measuring instrument. This method reduces the false detecting rate and the loss detecting rate. The function of innovation graph technique to identify bad data is improved. The method proposed in this paper is verified in a simulation with bad data based on IEEE 14-bus system and the result show that the method is effective.
状态估计是能源管理系统的基础。创新图状态估计在识别不良数据方面比传统的状态估计具有优势。推导出创新差异的分布函数,并在一定的误降率下设置阈值,为数学中识别不良数据提供理论依据。可接受的测量误差范围取决于相应测量仪器的精度。该方法降低了误检率和丢检率。改进了创新图技术识别不良数据的功能。基于IEEE 14总线系统的坏数据仿真验证了本文方法的有效性。
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引用次数: 0
Intermodal transport problem of container terminal in emission control area 排放控制区集装箱码头多式联运问题
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122426
Jue Hou
With the establishment of the Emission Control Areas(ECA) of China, and the huge demand of the One Belt One Road (OBOR) strategy of intermodal transport, container intermodal transport will be rapid development in the future. Meanwhile, the air pollution problem is increasingly serious, optimizing the container intermodal transport in port, reducing emissions, and improving operation efficiency, which, is an urgent problem to the port operator. In this study, three models are proposed to deal with the intermodal transport problem of container terminal in ECA. Firstly, a dynamic berth allocation problem with ship emissions consideration (EDBAP), based on an application of shore power is modeled. Then, truck dispatching problem (TDP) is presented, the third one is ship and train scheduling problem (STSP). Mixed integer non-linear programming (MINLP) models are developed for these problems, heuristic algorithm to solve these problems. Experimental results demonstrate that the intermodal transport problem of container terminal, reflected by the proposed models, is competent to reduce emissions, while simultaneously retaining the service level, thus improve operation efficiency in intermodal transport of container terminal.
随着中国排放控制区(ECA)的建立,以及“一带一路”战略对多式联运的巨大需求,未来集装箱多式联运将得到快速发展。同时,大气污染问题日益严重,优化港口集装箱多式联运,减少排放,提高运营效率,是港口经营人亟待解决的问题。本文提出了三个模型来处理ECA集装箱码头的多式联运问题。首先,建立了基于岸电应用的考虑船舶排放的动态泊位分配问题模型。然后提出了卡车调度问题(TDP),第三个是船列调度问题(STSP)。针对这些问题建立了混合整数非线性规划(MINLP)模型,并采用启发式算法进行求解。实验结果表明,所提模型反映的集装箱码头多式联运问题能够在保持服务水平的同时减少排放,从而提高集装箱码头多式联运的运营效率。
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引用次数: 5
Preliminary study on the magnetohydrodynamic (MHD) angular rate sensor combing coriolis effect at low-frequency 结合低频科氏效应的磁流体动力角速率传感器的初步研究
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122413
Yue Ji, Xingfei Li, Tengfei Wu, Jun Wu
The poor performance of MHD ARS at low frequency has depressed its accuracy and application range. A preliminary study on the magnetohydrodynamic (MHD) angular rate sensor combing Coriolis effect (C-MHD ARS) is made to achieve the low-frequency bandwidth expansion. Physical model of C-MHD ARS is given, and then the physical design with an MHD pump is described. The numerical simulation and experiment are illustrated based on the designed device. The simulation results demonstrate that the Coriolis effect is induced at low frequency and can accelerate the relative velocity. Furthermore, the experiment results confirm the improvement of the C-MHD ARS at low frequency. This study can offer a preliminary understanding of C-MHD ARS design and help us give further error analysis on the sensor.
MHD卫星定位系统的低频性能较差,影响了其精度和应用范围。为实现低频带宽扩展,对结合科里奥利效应的磁流体动力(MHD)角速率传感器(C-MHD ARS)进行了初步研究。给出了C-MHD泵的物理模型,并介绍了MHD泵的物理设计。基于所设计的装置进行了数值模拟和实验说明。仿真结果表明,在低频率下会产生科里奥利效应,使相对速度加快。此外,实验结果证实了C-MHD雷达在低频下的改进。本研究可以初步了解C-MHD ARS的设计,并帮助我们对传感器进行进一步的误差分析。
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引用次数: 1
Dictionary pair learning in compressed space for action recognition 压缩空间中用于动作识别的字典对学习
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122306
Zhijun Pei, Yaxin Wang, John Mkhomoi Afridon
Action recognition is still a challenging problem. In order to catch effective compact representation of the action sequences, the discriminative dictionaries could be learned by sparse coding. But sparse coding is needed in both the training and testing phases of the classifier framework. And it is also time consuming for the adoption of 1-norm sparsity constraint on the representation coefficients in most dictionary learning (DL) methods. Dictionary pair learning (DPL) learns a synthesis dictionary and an analysis dictionary jointly. Compared with those DL approaches, the using of DPL method may not only effectively reduce the time consuming during the phases of training and testing, but also result in very competitive recognition ratio. On the other hand, the way of compressed learning can lead to learning with randomly projected data instead of original data. Thus compressed learning could greatly cut down on both the requirement of memory storage and running time due to the effective reduction of data dimensions through random projection. In this paper, Combined with compressed learning, DPL in compressed space are explored for the action recognition. By the experiments on various public action datasets, it has been shown that DPL in compressed space can achieves very competitive accuracy, while it is significantly faster in phases of both training and testing, which indicate the efficiency of the proposed algorithm for action recognition.
动作识别仍然是一个具有挑战性的问题。为了捕获动作序列的有效压缩表示,可以通过稀疏编码学习判别字典。但是在分类器框架的训练和测试阶段都需要稀疏编码。在大多数字典学习(DL)方法中,对表示系数采用1范数稀疏性约束也非常耗时。字典对学习(DPL)是一种联合学习合成字典和分析字典的方法。与传统的深度学习方法相比,DPL方法不仅有效地减少了训练和测试阶段的时间消耗,而且具有很强的识别率。另一方面,压缩学习的方式可以导致使用随机投影数据而不是原始数据进行学习。因此,压缩学习通过随机投影有效地降低了数据维数,从而大大降低了对内存存储的需求和运行时间。本文将DPL与压缩学习相结合,在压缩空间中进行动作识别。在各种公共动作数据集上的实验表明,压缩空间下的DPL可以达到非常有竞争力的准确率,并且在训练和测试阶段都明显更快,表明了所提算法在动作识别方面的有效性。
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引用次数: 0
Pedestrian detection based on YOLOv2 with skip structure in underground coal mine 基于YOLOv2箕斗结构的煤矿井下行人检测
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122550
Lin Wang, Weishan Li, Yuliang Zhang, Chen Wei
Pedestrian detection is an important topic in object detection. Compared with other object detectors, YOLOv2 achieves high accuracy and fast speed for general object detection, however it degrades accuracy when detecting crowed pedestrians. In this paper, combining with the skip structure of FCN, we tailor the YOLOv2 network to improve the accuracy in detecting small pedestrians which appear in groups in underground coal mine. In this way, we propose two modified versions of YOLOv2 which are YWSSv1 and YWSSv2. Compared with YOLOv2, YWSSv1 slightly improves 0.1 mAP but keeps the same fast speed. YWSSv2 significantly gains 12 mAP higher than YOLOv2 but sacrifices its speed at just 5 FPS.
行人检测是目标检测中的一个重要课题。与其他目标检测器相比,YOLOv2在一般目标检测中精度高、速度快,但在检测拥挤行人时精度下降。本文结合FCN的箕斗结构,对YOLOv2网络进行了定制,以提高对煤矿井下成群出现的小行人的检测精度。因此,我们提出了YOLOv2的两个修改版本:YWSSv1和YWSSv2。与YOLOv2相比,YWSSv1略微提高了0.1 mAP,但保持了相同的快速速度。YWSSv2比YOLOv2显著提高了12个mAP,但牺牲了只有5 FPS的速度。
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引用次数: 10
Development of the electronics system prototype of the high-speed camera 高速摄像机电子系统样机的研制
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122537
Yang Zheng, Ruimin Li, Zongxi Song
The high-speed camera is an imaging device that records a particular transient state or all of the high-speed processes. It can accurately record the transient process of the high-speed target in real time and thus allow us to achieve the purpose of analysis of high-speed process through the slow motion playback. So the high-speed camera becomes an important tool for the study of the transient phenomena. This paper presents the development of a high-speed imaging system, which was build based upon a CMOS (Complementary Metal Oxide Semiconductor) image sensor and a high density FPGA (Field Programmable Gate Array) and USB 3.0 (Universal Serial Bus 3.0). In this paper, the design methodology and the electronics system architecture are briefly discussed. Besides, the designs and implements are particularly depicted. Finally the experimental verification shows the correlated results. The system has the advantage of high frame rate, high resolution, high performance and flexibility.
高速摄像机是一种记录特定瞬态或所有高速过程的成像装置。它可以实时准确地记录高速目标的瞬态过程,从而使我们能够通过慢动作回放来达到分析高速过程的目的。因此,高速摄像机成为研究瞬态现象的重要工具。本文介绍了一种基于CMOS(互补金属氧化物半导体)图像传感器、高密度FPGA(现场可编程门阵列)和USB 3.0(通用串行总线3.0)的高速成像系统的开发。本文简要讨论了该系统的设计方法和电子系统结构。此外,还对设计和工具进行了详细的描述。最后通过实验验证了相关结果。该系统具有高帧率、高分辨率、高性能和灵活性等优点。
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引用次数: 1
Capacitor-switching based method of network harmonic impedance measurement via TLS-ESPRIT algorithm 基于TLS-ESPRIT算法的电容开关网络谐波阻抗测量方法
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122503
Wu Nan, Z. Xiaoming
Capacitor-switching operation can be used to measure network harmonic impedance. Via the transient components of voltage and current after capacitor switching, the harmonic impedance of PCC (Point of Common Coupling) can be calculated. To improve measurement accuracy, the TLS-ESPRIT algorithm is introduced in this paper to filter out noise and fundamental components in voltage and current signals. Via time domain simulations, the advantages of the proposed method in the ability of noise interference resistance and measurement accuracy, are verified compared with the Prony algorithm based method.
电容开关操作可用于测量网络谐波阻抗。通过电容器开关后电压和电流的瞬态分量,可以计算出PCC(共耦合点)的谐波阻抗。为了提高测量精度,本文引入TLS-ESPRIT算法,滤除电压和电流信号中的噪声和基元分量。通过时域仿真,与基于proony算法的方法相比,验证了该方法在抗噪声干扰能力和测量精度方面的优势。
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引用次数: 1
New kind of self-powered wireless digital sun sensor 新型自供电无线数字太阳传感器
Pub Date : 2017-10-01 DOI: 10.1109/ITOEC.2017.8122435
Jiahe Miao, Tian Liang
This paper shows the design of a self-powered wireless digital sun sensor (including magnetometer). The information of satellite attitude and magnetic field intensity can be transferred to the attitude determination and control system (ADCS) through Bluetooth. Four solar cells in parallel connection and a super capacitor make sure that the sun sensor can work both in sunshine and shadow areas. The sun sensor meets the needs of microsatellite, which has small volume (30mm×30mm×12.5mm), low power (<50mW), large field of view (120°) and high precision (0.5°).
本文介绍了一种自供电无线数字式太阳敏感器(含磁强计)的设计。卫星的姿态和磁场强度信息可以通过蓝牙传输到姿态确定与控制系统(ADCS)。四个并联的太阳能电池和一个超级电容器确保太阳传感器可以在阳光和阴影区域工作。该太阳敏感器满足微卫星的需求,具有体积小(30mm×30mm×12.5mm)、功耗低(<50mW)、视场大(120°)、精度高(0.5°)等特点。
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引用次数: 1
期刊
2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC)
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