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2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)最新文献

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Smart Home Energy Management System to Reduce Monthly Electricity Bill 智能家居能源管理系统减少每月电费
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015221
A. M. N. N. Senavirathna, W. Wijesinghe, C. Premachandra
As domestic electric energy usage is ever increasing, better ways of saving energy and maximizing energy efficiency must be explored. This paper presents a low-cost smart home energy management system that enables the consumer to maintain the monthly electricity bill to a predetermined value.
随着国内电力能源使用量的不断增加,必须探索更好的节约能源和提高能源效率的方法。本文提出了一种低成本的智能家居能源管理系统,使用户能够将每月的电费保持在预定的值。
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引用次数: 2
Design and Implement a Smart Nail Machine with Image Segmentation Techniques 基于图像分割技术的智能美甲机的设计与实现
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015355
Chi-Huang Hung, Yuan-Kai Wang, P. Shih
Nail painting machine is a new kind of consumer device getting prevailing, but a smart technique to automatically find nail printing area becomes necessary. In this study, we propose an image segmentation approach to mark the area of nails, which cuts the nail image and merges the painting patterns selected by the user. The segmented-and merged result is then sent to the nail painting machine for printing.
美甲机是一种新兴的消费设备,但自动发现美甲区域的智能技术是必要的。在这项研究中,我们提出了一种图像分割方法来标记指甲的区域,该方法将指甲图像切割并合并用户选择的绘画图案。分割合并后的结果被送到美甲机进行打印。
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引用次数: 1
Picking Work using AR Instructions in Warehouses 在仓库中使用AR指令挑选工作
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015334
Toshiko Matsumoto, T. Kosaka, Takaharu Sakurada, Yohei Nakajima, S. Tano
In a warehouse, 60% of the costs are attributed to the picking work, which involves collecting products from specific locations on shelves. Improving work efficiency at the picking stage is the most important issue in logistics. Augmented reality (AR) technology is an obvious solution for intuitive instruction and presentation, but it does not lend itself to practical use. In this study, we will analyze the practical barriers of AR in the warehouse. We developed an AR picking system for commercial head mounted displays (HMDs) to investigate practical barriers to using them in picking, improve the HMDs through experiments, and evaluate the improvements.
在仓库中,60%的成本来自拣选工作,这包括从货架上的特定位置收集产品。提高拣货阶段的工作效率是物流中最重要的问题。增强现实(AR)技术显然是直观指导和表示的解决方案,但它并不适合实际使用。在本研究中,我们将分析AR在仓库中的实际障碍。我们开发了一个用于商用头戴式显示器(hmd)的AR拾取系统,以研究在拾取中使用它们的实际障碍,通过实验改进hmd,并评估改进。
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引用次数: 3
Personal Root-Vegetable Harvesting Assist Device for Japanese Radish 萝卜个人根菜收获辅助装置
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015218
Geunho Lee, Atsushi Ishimoto, Shousuke Hamada
This paper introduces a personal assist device to harvest root vegetables such as radishes which are a representative crop planted by many farmers in Japan. Specifically, our research work tries to solve problems by developing a novel assit deive that is compact, inexpensive, and easy to handle by anyone, and that can reduce the burden on users. As a solution approach, two mechanisms embedded in the proposed assist device are designed and developed: 1) grasping mechanism for grabbing crops and 2) digging mechanism for raising crops buried in the ground. The design of this harvesting assist device based on these mechanisms and its features are explained in detail in our paper. The effectiveness of the assist device was verified through extensive experiments in a farm field. To enhance the feasibility and efficiency of the harvesting device, our future work includes the study direction of stable grasping for different sizes and shapes according to crops.
介绍了一种用于萝卜等根茎类蔬菜收获的个人辅助装置,这是日本许多农民种植的代表性作物。具体来说,我们的研究工作试图通过开发一种新颖的辅助装置来解决问题,这种辅助装置紧凑、廉价、易于任何人使用,并且可以减轻用户的负担。作为解决方案,设计并开发了两种嵌入辅助装置的机构:1)抓取作物的抓取机构和2)挖掘机构,以提高埋在地下的作物。本文详细介绍了基于这些机构的采收辅助装置的设计及其特点。通过大量的田间试验,验证了辅助装置的有效性。为了提高收获装置的可行性和效率,我们未来的工作方向包括根据作物的不同大小和形状稳定抓取。
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引用次数: 0
A Narrow-Area Specific Messaging System for Tsunami Evacuation 海啸疏散的窄区域特定信息系统
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015452
N. Kobayashi, T. Yamazaki
For Tsunami evacuation, specific evacuation information needs to be transmitted to each evacuee, for example, the nearest evacuation facility. At present, such an information transmitting system for narrow specific areas has not been organized well. In this paper, we propose a narrow-area specific messaging system where taxis play a role of information transmitters. Since taxis have a mobility property, their allocation pattern can be changed within the target area. Effectiveness of information transmission according to the taxi allocation pattern is evaluated through Multi-Agent System computer simulation. As the experimental results, it is found that decentralized and unbiased taxi allocation can accelerate evacuation completion.
对于海啸疏散,需要将特定的疏散信息传递给每个被疏散者,例如最近的疏散设施。目前,这种针对狭窄特定领域的信息传递系统还没有组织好。在本文中,我们提出了一个狭窄区域特定的消息传递系统,其中出租车扮演信息发射器的角色。由于出租车具有流动性,所以在目标区域内,出租车的分配模式是可以改变的。通过多智能体系统(Multi-Agent System)的计算机仿真,对出租车分配模式下信息传输的有效性进行了评价。实验结果表明,分散无偏出租车分配可以加速疏散的完成。
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引用次数: 0
An Imagery-to-Source Mapping for Phase-Shifting Profilometry Using Consumer-grade Equipment 使用消费级设备的相移轮廓术的图像到源映射
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015308
Peilong Li, Zaixing He, Xinyue Zhao
Consumer-grade projector and camera are both fabricated to be nonlinear for better visual effect, and hence induce significant errors in optical-based profilometry. Previous methods improve the 3D reconstruction ability of consumer-grade equipment in an error compensation way, but are challenged by the accuracy bottleneck due to the compensation basis. In this paper, an imagery-to-source (IS) mapping approach is proposed to break through the accuracy bottleneck, by eliminating all of the nonlinear errors in theory. Furthermore, it is easy implementation and does not need additional projections for tedious error pre-calibration. Simulation and experimental results confirm the validity of the proposed method.
为了获得更好的视觉效果,消费级投影仪和相机都被制造成非线性的,因此在光学轮廓测量中会产生很大的误差。以往的方法以误差补偿的方式提高了消费级设备的三维重建能力,但由于补偿基础的问题,受到精度瓶颈的挑战。本文提出了一种图像到源(IS)映射方法,通过消除理论上所有的非线性误差来突破精度瓶颈。此外,它易于实现,不需要额外的投影进行繁琐的误差预校准。仿真和实验结果验证了该方法的有效性。
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引用次数: 0
An Analysis of Highlight-Oriented AI Using Fighting-Game Experience 基于格斗游戏体验的高光导向AI分析
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015372
Ryota Ishii, R. Thawonmas, Tomohiro Harada
In this paper, we verify whether the spectator's game experience affects the enjoyment of watching gameplay by AI. In recent years, watching gameplay has become one of the main contents of games. Therefore, research has been conducted to automatically generate gameplay for spectators. In this paper, we analyze the AI gameplay proposed in CoG 2019 using the spectators' game experience. The analysis shows that the gameplay by AI is fun regardless of the amount of experience in the fighting game.
在本文中,我们验证了观众的游戏体验是否会影响AI观看游戏玩法的乐趣。近年来,观看游戏玩法已成为游戏的主要内容之一。因此,已经进行了为观众自动生成游戏玩法的研究。在本文中,我们使用观众的比赛体验来分析2019年CoG提出的AI玩法。分析表明,不管玩家在战斗游戏中有多少经验,AI的玩法都很有趣。
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引用次数: 1
Efficient HEVC Inter Prediction using SVM 基于SVM的高效HEVC内部预测
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015477
Jia-Kai Liu, Yinyi Lin
In this paper, we propose a fast and efficient inter mode decision using support vector machine (SVM) for HEVC inter prediction. In the proposed algorithm, we use information such as MV variance, neighboring CU depth level and coded block flag (CBF) as features for SVM-based CU size decision; while MV variance, SKIP flag and RDO ratio for SVM-based PU mode decision. The experimental results reveal that the proposed algorithm can achieve average 29.6% reduction of computation time with 0.09% bit rate increment only, compared to the original HEVC inter prediction.
本文提出了一种基于支持向量机(SVM)的快速高效的模式间预测方法。在该算法中,我们使用MV方差、相邻CU深度等级和编码块标志(CBF)等信息作为基于支持向量机的CU大小决策的特征;MV方差、SKIP标志和RDO比值用于基于svm的PU模式判定。实验结果表明,该算法在比特率仅增加0.09%的情况下,与原HEVC互预测算法相比,计算时间平均减少29.6%。
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引用次数: 1
Cloud based Detection and Real-Time Communication of Number Coding Violators through Character Recognition and Image Processing 基于字符识别和图像处理的数字编码违规者云检测与实时通信
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015435
J. T. Sese, Ramon G. Garcia, Ervin Jay V. Galvan, Joseph V. Rodriguez, J. M. B. Santos, S. Miaou
The Unified Vehicular Volume Reduction Program was implemented to reduce the number of cars in a particular area as to lessen traffic congestions by restricting cars depending on the day with the corresponding last digit of the vehicle's plate number. The purpose of this study is to reinforce and automate the detection of violators of the vehicular volume reduction using a cloud based detection and real-time communication of number coding violators through character recognition and image processing. With the use of a Raspberry Pi, a web camera, and a monitor, the research aims to create a cost-effective number coding violation detector that can notify the violator as well as keep the logs in a database storage.
“车辆统一减容计划”的实施是为了减少特定地区的车辆数量,以减少交通拥堵,根据车辆号牌尾号的日期限制车辆。本研究的目的是通过字符识别和图像处理,利用基于云的数字编码违规者检测和实时通信,加强和自动化对车辆减容违规者的检测。通过使用树莓派,网络摄像头和监视器,该研究旨在创建一个经济有效的数字编码违规检测器,可以通知违规者并将日志保存在数据库存储中。
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引用次数: 2
Investigation on latency issues and objective measurements of non-linear blind bandwidth extension 非线性盲带宽扩展的时延问题及客观测量研究
Pub Date : 2019-10-01 DOI: 10.1109/GCCE46687.2019.9015291
Haruna Miyamoto, Sayaka Shiota, H. Kiya
This paper investigates the algorithmic latency of non-learning blind bandwidth extension (BWE) approaches, and evaluates their quality with objective measurements. BWE methods are regarded as methods for restoring high-frequency losses caused by band limits. To satisfy the restriction and provide high-quality sound, low-latency BWE techniques are required. This paper focuses on the non-learning blind BWE methods, such as spectral shifting-based approaches and non-linear function based BWE (N-BWE). The results proved that the N-BWE method can be performed with low-latency.
研究了非学习盲带宽扩展(BWE)方法的算法延迟,并对其质量进行了客观评价。BWE方法被认为是恢复频带限制引起的高频损失的方法。为了满足限制并提供高质量的声音,需要低延迟BWE技术。本文重点研究了非学习盲BWE方法,如基于谱移的BWE方法和基于非线性函数的BWE (N-BWE)。结果表明,N-BWE方法可以实现低延迟。
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2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)
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