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2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)最新文献

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An Algorithm for The Quantification of Lipids, Collagen and Muscle Cells in Coronary Arteries Based on Digital Image Processing 一种基于数字图像处理的冠状动脉脂肪、胶原蛋白和肌肉细胞定量算法
E. Macias, D. Brito, G. Kemper, J. Jo, E. Rivera
The present study presents a method to quantify lipids, collagen and muscle cells, to help diagnose atherosclerosis using digital image processing techniques. The relative concentrations of these three indicators are crucial in diagnosing atherosclerosis in patients. Digital image processing techniques such as object detection, color enhancement, and shape and texture analysis were used to quantify cells. The objective of the algorithm is to analyze high definition images of coronary arteries and to provide an objective outcome on the atherosclerotic tissue stage. The algorithm presented outstanding results and an innovative method to diagnose atherosclerosis when compared to existing procedures in the literature.
本研究提出了一种定量脂质、胶原蛋白和肌肉细胞的方法,以帮助使用数字图像处理技术诊断动脉粥样硬化。这三个指标的相对浓度对于诊断动脉粥样硬化至关重要。使用数字图像处理技术,如目标检测、颜色增强、形状和纹理分析来量化细胞。该算法的目的是分析冠状动脉的高清图像,并提供动脉粥样硬化组织阶段的客观结果。与文献中现有的程序相比,该算法提供了出色的结果和一种诊断动脉粥样硬化的创新方法。
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引用次数: 1
Autonomous Motion of a Mobile Robot based on Potential Fields and Polar Control 基于势场和极坐标控制的移动机器人自主运动
José M. Muñoz, E. Munoz-Panduro, O. E. Ramos
Autonomous motion of mobile robots is an open problem in robotics. Challenges in this regard involve the proper interpretation of the information coming from the sensors, and the adequate motion of the robot based on that information to reach a goal without collisions. In this work, we propose a framework that smoothly drives a mobile robot through a collision-free trajectory. The generation of trajectories is based on motion planning using Artificial Potential Fields and the sensed depth information from the environment. The generated path is then followed by an iterative closed-loop feedback controller based on polar coordinates which is guided by the potential field. With this framework the robot can autonomously move to a desired goal avoiding obstacles online. The framework continuously plans its trajectory, being able to avoid obstacles online. Results were obtained using a dynamic simulator and a differential-drive mobile robot that uses an onboard Lidar.
移动机器人的自主运动是机器人学中的一个开放性问题。这方面的挑战包括正确解释来自传感器的信息,以及基于该信息的机器人的适当运动,以达到无碰撞的目标。在这项工作中,我们提出了一个框架,可以平稳地驱动移动机器人通过无碰撞轨迹。轨迹的生成是基于运动规划,利用人工势场和从环境中感知的深度信息。然后在生成的路径之后,采用基于极坐标的迭代闭环反馈控制器,该控制器以势场为导向。有了这个框架,机器人可以自动移动到一个期望的目标,避免在线障碍。该框架不断规划其轨迹,能够在线避开障碍物。使用动态模拟器和使用机载激光雷达的差动驱动移动机器人获得了结果。
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引用次数: 3
Economic Benefit and Improve of Stability in the Power System through the Ultra-High Speed Fault Clearing in Transmission Lines 输电线路超高速故障清除对电力系统经济效益和稳定性的提高
Willy Estrada Vargas, H. Juan C. Quispe
Ultra-high speed fault clearing in transmission lines is a topic that has been developing for many years. The main objective for this work is to show improve of stability of the power system and show the economic benefits through an economic dispatch that is achieved through the increase of the maximum power transfer capacity in the transmission lines, that is, it increases the capacity limit for stability in transmission lines through ultra-high speed fault clearing. For the simulation was used an electrical system as an example implemented in the software DIgSILENT and MATLAB with different events and fault clearing times from 2 cycles to 6 cycles that will compare ultra-high speed fault clearing and conventional fault clearing. These benefits allows improving the economic dispatch.
输电线路超高速故障清除是一个发展多年的课题。本工作的主要目的是通过提高输电线路的最大功率输送能力,即通过超高速故障清除,提高输电线路的稳定容量极限,从而实现经济调度,显示电力系统稳定性的提高,并显示经济效益。仿真以某电气系统为例,在DIgSILENT软件和MATLAB中实现,故障清除时间从2个周期到6个周期,比较超高速故障清除和常规故障清除。这些好处可以改善经济调度。
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引用次数: 3
A new method of classification with rejection applied to building images recognition based on Transfer Learning 一种新的基于迁移学习的建筑图像分类与拒绝识别方法
Jared Leon-Malpartida, Jeanfranco D. Farfan-Escobedo, Gladys E. Cutipa-Arapa
The present paper1 proposes a new method of classification with rejection for the scenario of building images recognition based on the probability vector generated by the classifier. Also, it is performed an evaluation of a set of pre-trained models of convolutional neural networks (CNN). Transfer Learning technique is used for features extraction (feature vectors), these are used to feed the classifier. Similarly, an evaluation is conducted on a set of classifiers with the objective of identifying the most optimal machine learning algorithm during the scene of buildings images recognition. The experiments are evaluated on the first version of the Cusco Building Image Dataset (CuscoBID). Finally, it is developed the second version of CuscoBID, composed of 4560 images of 14 different historical buildings, available to the entire scientific community.
针对建筑图像识别场景,本文提出了一种基于分类器生成的概率向量的分类剔除方法。此外,还对卷积神经网络(CNN)的一组预训练模型进行了评估。迁移学习技术用于特征提取(特征向量),这些用于馈送分类器。同样,对一组分类器进行评估,目的是在建筑物场景图像识别中识别出最优的机器学习算法。在第一个版本的库斯科建筑图像数据集(CuscoBID)上对实验进行了评估。最后,开发了CuscoBID的第二版,由14个不同历史建筑的4560幅图像组成,可供整个科学界使用。
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引用次数: 4
Mr. Piano: A Portable Piano Tutoring System
Chung-Hsuan Sun, P. Chiang
We present a portable piano-tutoring system that facilitates piano learning without the spatial limitations and unaffordable cost. Our proposed system is able to simultaneously project an interactive piano on the table while displaying a music sheet with animated instruction on the smartphone. By detecting the user’s hand movements with our efficient approach, visual and sound feedbacks can be given in real time. Mr. Piano gives instructions and feedbacks that helps a beginner to learn fundamental piano skills. The user can play with demonstration, instruction, or practice mode with different level of instructions. Unlike other mobile piano-tutoring system, the key of our projected piano is equivalent in size to a standard one that makes users adjust themselves to play a actual piano better. The user evaluation shows our proposed system helps users to learn piano effectively.
我们提出了一种便携式钢琴辅导系统,使钢琴学习不受空间限制和昂贵的费用。我们提出的系统能够在智能手机上显示带有动画指令的乐谱的同时,将交互式钢琴投影在桌子上。通过我们的有效方法检测用户的手部运动,可以实时给出视觉和声音反馈。钢琴先生提供指导和反馈,帮助初学者学习基本的钢琴技巧。用户可以通过演示、指导或不同级别的指导练习模式进行游戏。与其他移动钢琴辅导系统不同的是,我们的投影钢琴的琴键大小与标准琴键相当,用户可以自行调整,从而更好地弹奏实际钢琴。用户评价表明,我们提出的系统可以帮助用户有效地学习钢琴。
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引用次数: 8
FPGA Implementation of Low-Latency Robust Asynchronous Interfaces for GALS Systems GALS系统低延迟鲁棒异步接口的FPGA实现
T. Curtinhas, D. L. Oliveira, O. Saotome, João B. Brandolin
Complex digital systems must necessarily be based on the "System-on-Chip – SoC" concept. A natural implementation of SoC circuit uses global clock, but in DSM technology (Deep-Sub-Micron) global clock signal causes several problems. An interesting style for SoC design that reduces the problems of the global clock is the GALS (Globally Asynchronous, Locally Synchronous) paradigm. Currently, the major drawback in the design of a GALS system, shows to be the asynchronous interface. This paper proposes a novel asynchronous wrapper based on a unique port controller aiming to the point-to-point GALS style and easily generalized to multi-point GALS systems. The proposed asynchronous wrapper allows the communication between modules to be performed in the two-phase handshake protocol, which reduces the latency time when compared to the previous ones, and it is robust with respect to essential hazard. A comparison with seven wrappers found in literature shows that the proposed wrapper leads to an average reduction in latency time of 61.1% and average reduction in area of 58% in the FPGA (Field Programmable Gated array) platform.
复杂的数字系统必须基于“片上系统- SoC”的概念。SoC电路的自然实现采用全局时钟,但在DSM技术(Deep-Sub-Micron)中全局时钟信号会引起几个问题。对于SoC设计来说,减少全局时钟问题的一个有趣风格是GALS(全局异步,局部同步)范式。目前,GALS系统设计的主要缺点是异步接口。针对点对点GALS的特点,提出了一种基于唯一端口控制器的异步包装器,该包装器易于推广到多点GALS系统中。所提出的异步包装器允许在两阶段握手协议中执行模块之间的通信,与以前的包装器相比,这减少了延迟时间,并且在基本危险方面具有鲁棒性。与文献中发现的七个包装器的比较表明,所提出的包装器在FPGA(现场可编程门控阵列)平台上的延迟时间平均减少61.1%,面积平均减少58%。
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引用次数: 6
The impact of geographical range refinement on the irreplaceability of biodiversity using the Simulated Annealing algorithm implemented in MARXAN 利用模拟退火算法在MARXAN中实现地理距离细化对生物多样性不可替代性的影响
V. Bax
In this short paper, the impact of species’ geographical range refinement on the spatial distribution of irreplaceability in the Bolivian Andes was examined. Range maps were refined by species’ elevational and habitat requirements. Subsequently, the Simulated Annealing algorithm implemented in the MARXAN systematic conservation planning software was used to calculate irreplaceability throughout the Bolivian Andes using the original and refined geographical ranges. The results show that the range refinement strongly affects the spatial patterns of irreplaceability as well as the number of highly irreplaceable areas. When designing conservation policies, the variable distribution of irreplaceability induced by the use of original versus refined geographical range maps should be taken into consideration.
在这篇简短的文章中,研究了物种地理范围细化对玻利维亚安第斯山脉不可替代性空间分布的影响。根据物种的海拔和栖息地要求,对范围图进行了细化。随后,利用MARXAN系统保护规划软件中实现的模拟退火算法,利用原始和改进的地理范围计算整个玻利维亚安第斯山脉的不可替代性。结果表明,距离细化对不可替代性的空间格局和高度不可替代性区域的数量影响较大。在制定保护政策时,应考虑使用原始地理范围图和精制地理范围图所引起的不可替代性的变化分布。
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引用次数: 0
Monitoring Indoor Air Quality by using IoT Technology 利用物联网技术监测室内空气质量
J. Esquiagola, M. Manini, Arthur Aikawa, L. Yoshioka, M. Zuffo
Millions of people worldwide die prematurely as a consequence of air pollution. Many of these deaths occur in large cities, where exhaust from cars, factories, and power plants fills the air with hazardous particles. Indoor air pollution can be higher than outdoor concentrations up to ten times due to incorrect functionality of heating, ventilation, and air conditioning (HVAC) system. Internet of Things can help to perform a real time monitoring of indoor air quality by using embedded electronics, software, sensors, and connectivity. One approach that is gaining momentum is the Web of Things, that uses web architecture and web standards as a framework for creating IoT applications. In this paper, an IoT platform for monitoring indoor air quality is presented. The implementation is based on the Web of Things concept and uses CoAP protocol to collect data from sensors. Hardware platform developed for this project is also presented and implementation details are described.
全世界有数百万人因空气污染而过早死亡。这些死亡大多发生在大城市,那里的汽车、工厂和发电厂排放的废气使空气中充满了有害颗粒。由于供暖、通风和空调(HVAC)系统功能不正确,室内空气污染浓度可能比室外高10倍。物联网可以通过使用嵌入式电子设备、软件、传感器和连接来帮助对室内空气质量进行实时监测。一种正在获得动力的方法是物联网,它使用网络架构和网络标准作为创建物联网应用程序的框架。本文提出了一种用于室内空气质量监测的物联网平台。该实现基于物联网概念,并使用CoAP协议从传感器收集数据。介绍了为本课题开发的硬件平台,并对其实现细节进行了描述。
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引用次数: 23
Design of a novel 3DOF clinostat to produce microgravity for bioengineering applications 一种新型的用于生物工程应用的微重力产生的三维旋转定子的设计
A. Rojas-Moreno, F. Santos–Rodriguez
This work presents the design of a novel 3DOF (3 Degrees of Freedom) clinostat to produce microgravity. Such a clinostat is novel because it does not contain an internal hatchery as other clinostats. This peculiarity is unique and allows this machine to produce better results in terms of a smaller microgravity generation. This 3DOF clinostat possesses a set of nonlinear dynamic equations that describe the partial accelerations of each DOF. The mean microgravity generated at the center of the clinostat can be computed using such partial accelerations. In this work, a microgravity of around 10-3 g has been achieved, which is a smaller microgravity generated by a RPM (Random Positioning Machine), which is also a clinostat. Results of this work are verified via intensive simulation studies in the form of graphs for different rotational frame speeds of the clinostat since this variable can substantially modify the desired outcomes. A smaller microgravity generator can be directly translated to a more accurate representation of true microgravity in outer space, producing a huge impact on bioengineering applications, since this clinostat allows performing outer space studies on earth with faithful results and with a minimum cost.
本工作提出了一种新型的3自由度旋转稳定器的设计,以产生微重力。这种回转调节器是新颖的,因为它不像其他回转调节器那样包含一个内部孵化场。这种特性是独一无二的,并且允许这台机器在更小的微重力生成方面产生更好的结果。该三自由度摆轮具有一组非线性动力学方程来描述每个自由度的部分加速度。在回转器中心产生的平均微重力可以用这样的部分加速度来计算。在这项工作中,已经实现了大约10- 3g的微重力,这是一个较小的微重力,由RPM(随机定位机)产生,也是一个回转器。这项工作的结果是通过图形形式的密集模拟研究来验证的,因为这个变量可以大大改变期望的结果。一个更小的微重力发生器可以直接转化为更准确地表示外层空间的真实微重力,对生物工程应用产生巨大影响,因为这个陀螺可以在地球上以最小的成本进行外层空间研究,得到忠实的结果。
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引用次数: 5
Attempts to Measure the Bit Error Rate for Accessing Hybrid: Quantum and Classical Networks in Scenarios of the Internet of Things 物联网场景下访问混合量子和经典网络误码率测量的尝试
H. Nieto-Chaupis
We attempt to estimate the Bit Error Rate BER) of a mixed network made of a classical and a Quantum-KeyDistribution-based (QKD) network, but including data traffic due to the Internet of Things. Firstly we carry out estimations of the probability of success call completion in the single case where a high user is under mobility and trying to do handover but also performing e-banking that is assumed that the end user needs reliability to carry out transactions without any risk to be hacked by eavesdroppers. It clearly needs to achieve handover using both IoT and quantum key distribution (QKD) networks resources. The simulation of BER have demanded to assume that the IoT handover and cell allocation follows a Shannon’s entropy.
我们试图估计由经典和基于量子密钥分发(QKD)网络组成的混合网络的误码率(BER),但包括由于物联网而产生的数据流量。首先,我们在单个情况下对成功呼叫完成的概率进行估计,其中高用户处于移动状态并试图进行切换,但也执行电子银行,假设最终用户需要可靠性来执行交易,而不会有任何被窃听者入侵的风险。显然,它需要同时使用物联网和量子密钥分发(QKD)网络资源来实现切换。对误码率的仿真要求假设物联网切换和小区分配遵循香农熵。
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引用次数: 0
期刊
2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
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