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2019 Zooming Innovation in Consumer Technologies Conference (ZINC)最新文献

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ZINC 2019 Copyright Page 锌2019版权页面
Pub Date : 2019-05-01 DOI: 10.1109/zinc.2019.8769362
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引用次数: 0
ZINC 2019 Title Page 锌2019扉页
Pub Date : 2019-05-01 DOI: 10.1109/zinc.2019.8769390
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引用次数: 0
Analysis of Still Image IP Transmission in the Tactical Communication Network 战术通信网中静态图像IP传输分析
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769399
J. Bajčetić, Boban P. Bondzulic, Marko Novčić, B. Pavlović, Nenad Stojanović
This paper presents analysis of still image IP transmission in the tactical network. The analysis is provided through the delivery time, packets sent/received/lost and the display of the images after the reconstruction on the receiving side. Image transmission is analyzed through multiple scenarios - without and with compression, without and in the presence of jamming. It has been shown that delivery time can be significantly reduced by data compression, without significant loss of visual information. It has also been shown that for analyzing the quality of transmission and usefulness of received information, it is better to use the display of reconstructed images than the degree of packet losses. Furthermore, it has been shown that in the tactical networks of limited bandwidth, it is very important to comply bit rates from source of information to the end user, and in this way to avoid buffer memory overflow and packet losses.
本文对战术网络中的静态图像IP传输进行了分析。通过发送时间、发送/接收/丢失的数据包以及接收端重建后的图像显示来进行分析。通过多种场景对图像传输进行分析——无压缩和有压缩,无干扰和有干扰。研究表明,通过数据压缩可以显著减少传输时间,而不会造成视觉信息的严重损失。研究还表明,在分析传输质量和接收信息的有用性时,使用重构图像的显示比使用丢包程度更好。此外,研究表明,在有限带宽的战术网络中,从信息源到最终用户遵守比特率是非常重要的,这样可以避免缓冲区内存溢出和数据包丢失。
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引用次数: 0
Performance analysis on TCP/IP Audio Streaming in Point-to-Point communication 点对点通信中TCP/IP音频流的性能分析
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769384
Nenad Pekez, A. Popović, J. Kovacevic
UDP has always been a choice number one when it comes to the multimedia streaming systems. Not solely because TCP congestion control does not ensure delivery in a timely fashion, but also because these systems can tolerate data loss. Nonetheless, verification systems, including ones used in DSP audio field, which require both timely and reliable delivery are bringing much more constraints to the mix. The advantage of these systems, on the other hand, is that they are used in the simplest, point-to-point communication topology. In this kind of topology and with latest advances in both Ethernet hardware and embedded software, this paper examines the idea of using TCP instead of UDP application protocol for streaming high-quality audio between two points - device designed for audio system verification, and a personal computer, engineers working station. The main idea of this paper is reducing engineering efforts and development costs by consuming less time for making custom UDP protocol which would satisfy both full-duplex high throughput and reliable data exchange requirements.
当涉及到多媒体流系统时,UDP一直是首选。这不仅是因为TCP拥塞控制不能确保及时传递,还因为这些系统可以容忍数据丢失。然而,验证系统,包括用于DSP音频领域的验证系统,需要及时可靠的传输,这给混音带来了更多的限制。另一方面,这些系统的优点是它们使用最简单的点对点通信拓扑结构。在这种拓扑结构下,结合以太网硬件和嵌入式软件的最新进展,本文探讨了在用于音频系统验证的设备和个人计算机、工程师工作站之间使用TCP代替UDP应用协议传输高质量音频的想法。本文的主要思想是通过消耗更少的时间来制作定制的UDP协议,从而减少工程工作量和开发成本,从而满足全双工高吞吐量和可靠的数据交换要求。
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引用次数: 2
Predicting Positions and Velocities of Surrounding Vehicles using Deep Neural Networks 利用深度神经网络预测周围车辆的位置和速度
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769429
Velibor Ilic, Dragan D. Kukolj, M. Marijan, N. Teslic
Prediction of surrounding vehicles motion is a basic feature of the most advanced driver assistance systems (ADAS). In this paper, we present prediction of positions and velocities of surrounding vehicles using deep neural networks (DNNs). Three different DNN architectures are designed and explored: feed-forward, recurrent, and hybrid. Training and validation data are generated using IPG Carmaker simulation environment. The reliability and accuracy of prediction models under simulated highway conditions and variable number of input-output time steps have been examined. Hybrid DNN showed better performance compared to feed-forward and recurrent neural networks.
预测周围车辆的运动是最先进的驾驶辅助系统(ADAS)的基本特征。在本文中,我们提出了使用深度神经网络(dnn)预测周围车辆的位置和速度。设计和探索了三种不同的深度神经网络架构:前馈、循环和混合。使用IPG汽车制造商仿真环境生成训练和验证数据。在模拟公路条件和可变输入输出时间步长的情况下,对预测模型的可靠性和准确性进行了检验。与前馈和递归神经网络相比,混合深度神经网络表现出更好的性能。
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引用次数: 3
Review of automotive audio technologies: immersive audio case study 汽车音频技术综述:沉浸式音频案例研究
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769396
J. Kovacevic, Nives Kaprocki, A. Popović
Advances in autonomous cars are driving researches in different areas, including infotainment, electric cars acoustics and multimedia user experience. Lines between automotive and consumer multimedia technologies are not that strict anymore, and that opens lot of questions regarding platforms, interfaces, safety, technologies and technologies’ updates which are much faster in consumer world. In this paper we review current automotive audio technologies and researches, and evaluate object based audio application on automotive platform. Objects based audio technologies are state of the art in home audio and theatres and next step in automotive multimedia.
自动驾驶汽车的进步推动了信息娱乐、电动汽车音响、多媒体用户体验等不同领域的研究。汽车和消费者多媒体技术之间的界限不再那么严格了,这就带来了许多关于平台、界面、安全、技术和技术更新的问题,这些问题在消费者世界中要快得多。本文综述了当前汽车音频技术和研究现状,并对基于对象的音频技术在汽车平台上的应用进行了评价。基于对象的音频技术是家庭音频和剧院的最新技术,也是汽车多媒体的下一步。
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引用次数: 1
One method for hybrid playback and recording of digital TV channels on embedded devices 一种在嵌入式设备上混合播放和记录数字电视频道的方法
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769420
N. Vranic, M. Popovic
Todays, most embedded TV devices on field are powered by Linux operating system. They possess different front ends for accusation of TV signal: terrestrial, satellite, cable or over internet. Having multiple front ends, results are hybrid devices which can present user TV content from multiple sources. Multiple sources provide richer content, better experience and more stable delivery, but also introduce duplicate TV services in channel list. This paper will analyze the above-mentioned problem and present solution for providing unique channel list to user with best available content quality. Paper will also cover recording use cases and resource conflicts.
目前,现场的嵌入式电视设备大多采用Linux操作系统。他们有不同的前端电视信号的指控:地面,卫星,有线或互联网。拥有多个前端,结果是混合设备,可以向用户呈现来自多个来源的电视内容。多源提供了更丰富的内容、更好的体验和更稳定的传输,但也在频道列表中引入了重复的电视服务。本文将对上述问题进行分析,并提出解决方案,为用户提供具有最佳内容质量的独特频道列表。论文还将涵盖记录用例和资源冲突。
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引用次数: 0
Modelling and Characterization of FBG Sensors FBG传感器的建模与表征
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769416
A. Joza, Nikola M. Laković, Nataša Korčok, Vesna Kokotović, Branislav Batinić, J. Bajić
In this paper, modelling and characterization of strain and temperature sensors based on fiber Bragg grating is presented. Simulation of FBG sensors behavior demonstrates very good measurement linearity for both strain and temperature. Simulation results were experimentally verified using two common methods for FBG interrogation. Measurement results obtained by both methods show a good match and good linearity. Strain sensitivity of 0.0002 mm/$muvarepsilon$ and temperature sensitivity of approximately 0.014 mm/°C were obtained.
本文介绍了基于光纤布拉格光栅的应变和温度传感器的建模和表征。对光纤光栅传感器性能的仿真表明,对应变和温度都有很好的测量线性。采用两种常用的光纤光栅探测方法对仿真结果进行了实验验证。两种方法的测量结果吻合良好,线性良好。应变灵敏度为0.0002 mm/ $muvarepsilon$,温度灵敏度约为0.014 mm/°C。
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引用次数: 0
The VR Simulation of Hidrological Data 水文数据的VR模拟
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769375
dr Predrag Šiđanin, J. Plavšić
Urban plan “Extension of the Zemun quay” was made from the need for access to the population of the Danube coast. The plan envisages the construction of a promenade and facilities of various contents in a zone of quay which is not defended from high water level. The visualization of the plan was made for the optimal level of the Danube River water level in immersive virtual reality (VR). As a variety of construction is planned at this location, simulation of the extreme hydrological data of the Danube River was also performed. The aim of visualization and simulation of this specific location and the impact of natural factors on the objects is to encourage and assist decision-makers in building investors. The direct experience gained in VR will enable investors to determine which type of facility they will invest in. This paper will show basic research activities performed for the purpose of simulating the consequences of the extremely high water levels of the Danube.
城市规划“Zemun码头的延伸”是根据多瑙河沿岸人口的需要而制定的。该计划设想在一个不受高水位保护的码头区域建造一个长廊和各种内容的设施。在沉浸式虚拟现实(VR)中对多瑙河的最佳水位进行了平面图的可视化。由于该地点规划有多种建设,因此对多瑙河的极端水文数据进行了模拟。对这一特定地点和自然因素对对象的影响进行可视化和模拟的目的是鼓励和协助决策者建设投资者。在虚拟现实领域获得的直接经验将使投资者能够确定他们将投资哪种类型的设施。本文将展示为模拟多瑙河极高水位的后果而进行的基本研究活动。
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引用次数: 2
Time to collision estimation for vehicles coming from behind using in-vehicle camera 使用车载摄像头对后方车辆进行碰撞时间估计
Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769404
Luka Ćosić, M. Vranješ, V. Ilkic, V. Mihic
In recent years the number of Advanced Driver-Assistance Systems (ADAS) implemented in vehicles has been rising significantly. In this paper an algorithm for ADAS that estimates the time to potential collision (TTC) with the vehicle coming from behind, by processing only the video frames captured by the camera located in the outside rear-view mirror, is proposed. After preprocessing of the input video frame, vehicle detection is performed, followed by vehicle tracking. When the vehicle is successfully detected and tracked, it is possible to estimate the distance between the oncoming vehicle and the camera, as well as the oncoming vehicle speed. Using the calculated distance and the speed of the oncoming vehicle, the proposed algorithm outputs the final information about the TTC, i.e. time remaining for safe change of the driving lane. The algorithm has been tested on different real video sequences and it achieves high performance in terms of estimated TTC accuracy, while processing 25 Full HD frames per second.
近年来,先进驾驶辅助系统(ADAS)在汽车上的应用数量显著增加。本文提出了一种用于ADAS的算法,该算法仅通过处理位于外部后视镜上的摄像头捕获的视频帧来估计与后车发生潜在碰撞的时间(TTC)。对输入视频帧进行预处理后,进行车辆检测,进行车辆跟踪。当车辆被成功检测和跟踪时,可以估计迎面而来的车辆与摄像头之间的距离,以及迎面而来的车辆速度。该算法利用计算出的距离和迎面车辆的速度,输出最终的TTC信息,即安全换道的剩余时间。该算法已经在不同的真实视频序列上进行了测试,在估计TTC精度方面达到了很高的性能,同时每秒处理25个全高清帧。
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引用次数: 4
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2019 Zooming Innovation in Consumer Technologies Conference (ZINC)
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