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2018 International Conference on Information and Communication Technology Convergence (ICTC)最新文献

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Very Short-Term Photovoltaic Power Generation Forecasting with Convolutional Neural Networks 基于卷积神经网络的极短期光伏发电预测
Dohyun Kim, Sung-Wook Hwang, Joongheon Kim
Photovoltaic (PV) power generation forecasting is an active research topic for the efficient operation of microgrid system. Although the estimation of the direction of change in hour-to-hour power generation is also important factor, there exist few studies for hour-to-hour PV generation forecasting tasks compared with longer-terms. In this paper, we compare the characteristics of hour-to-hour PV generation forecast tasks with longer-term tasks, and we also examine the limitations of applying the LSTM/RNN-based model to this task, which has been generally considered as powerful predictor for daily ones. To overcome these limitations, we propose a pre-predicted weather value-concatenated CNN-based approach.
光伏发电预测是微电网高效运行的一个活跃研究课题。虽然小时发电量变化方向的估计也是一个重要因素,但与较长期相比,对小时光伏发电预测任务的研究较少。在本文中,我们比较了小时光伏发电预测任务与长期任务的特点,并研究了将基于LSTM/ rnn的模型应用于该任务的局限性,该模型通常被认为是对日常任务的强大预测。为了克服这些限制,我们提出了一种基于cnn的预报天气值串联方法。
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引用次数: 7
Error Performances for a 12-QAM STBC with Two-Space Dimensions 二维12-QAM STBC的误差性能
Hyunhwa Lee, Jihoon Lee, Hae Chung
The space-time block coding scheme was developed to reduce the bit error rate for the receiver by transmitting multiple copies of the data during several symbol times. Recently, the 12-QAM scheme with two-time dimensions was proposed to reduce PAPR for the transmitter by removing corner signal points in the constellation. This paper proposes an efficient method to apply the 12-QAM scheme with two-space dimensions including error correction on the constellation to the Alamouti space-time block coding for reliable communications. In the performance results, the error performance of the Alamouti space-time block coding using the proposed QAM is compared with the one using the existing QAM. In addition, it is shown that the performance of 12-QAM with two receiving antennas and error correction on constellation is the best one except 4-QAM with two antennas.
为了降低误码率,开发了空时分组编码方案,通过在多个码元时间内传输数据的多个副本。近年来,提出了二维12-QAM方案,通过去除星座中的角点信号来降低发射机的PAPR。提出了一种有效的方法,将包含星座纠错的二维12-QAM方案应用于Alamouti空时分组编码,实现可靠通信。在性能结果中,比较了采用本文提出的QAM与采用现有QAM的Alamouti空时分组编码的误差性能。结果表明,除了4-QAM双天线外,12-QAM双接收天线和星座纠错的性能最好。
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引用次数: 2
Spectral Leakage Reduction of Power-Delay-Doppler Profile for mm-Wave V2I Channel 毫米波V2I信道功率延迟-多普勒谱的频谱泄漏抑制
Kyung‐Won Kim, Jae Joon Park, Myung-Don Kim, Juyul Lee
Vehicle-to-everything communications using mil-limeter wave has come into the spotlight with autonomous vehicles. Due to high speed of antennas or scatterers, spectral leakage of Doppler spectrum easily occurs in vehicular channel environments. In this paper, the algorithm to reduce spectral leakage is proposed. The main idea is searching for the frequency of the peak power component and shifting sampling frequencies. Doppler measurement results at 28 GHz in a vehicular-to-infrastructure environment are also shown.
随着无人驾驶汽车的出现,使用毫米波的车对车通信成为人们关注的焦点。由于天线或散射体的高速运行,在车载信道环境中容易发生多普勒频谱的泄漏。本文提出了一种减少频谱泄漏的算法。其主要思想是寻找峰值功率分量的频率和移位采样频率。图中还显示了车辆到基础设施环境中28ghz多普勒测量结果。
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引用次数: 3
Energy Efficient Task allocation for Distributed Multi-agent System 分布式多智能体系统的高效任务分配
Seonghyun Kim, Ingook Jang, Young-Sung Son
According to increase flexibility and capability of devices by development of processing and communication abilities, a multi-agent system (MAS), which is one of the internet of things area, has been actively researched for distributed network environment. In this work, we present a strategy named energy efficient task allocation for multi-agent system (E2T-MAS) in order to maximize the lifetime of MAS over the distributed network. The proposed E2T-MAS obtains not only the energy efficient task allocation but also an efficient communication power control with respect to residual energy and the link capacity of distributed multiple agents. Through the performance comparison, it is verified that the proposed scheme fairly distributes the energy consumption over the agents, and maximizes the lifetime of the MAS for a given time constraint in the system.
随着处理能力和通信能力的发展,设备的灵活性和性能得到提高,多智能体系统(MAS)作为物联网的研究领域之一,在分布式网络环境下得到了积极的研究。本文提出了一种多智能体系统节能任务分配策略(E2T-MAS),以最大化多智能体系统在分布式网络上的生命周期。提出的E2T-MAS不仅实现了高效节能的任务分配,而且在剩余能量和分布式多智能体链路容量方面实现了高效的通信功率控制。通过性能比较,验证了所提出的方案公平地分配了智能体之间的能量消耗,并在给定的时间约束下最大化了系统中MAS的寿命。
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引用次数: 0
An Overview of Internet of Energy (IoE) Based Building Energy Management System 基于能源互联网(IoE)的建筑能源管理系统综述
Van Thang Nguyen, ThanhLuan Vu, N. Le, Y. Jang
Buildings are important contributors to energy consumption accounting for around one-third of the total primary energy in the world. A building energy management system (BEMs) is an efficient method used for monitoring and controlling a building’s energy needs. To solve these existing issues of the current building energy management system such as the large amounts of BEMs energy data, energy data loss and energy overload problems, a BEMs based on Internet of Energy (IoE) has been proposed. In this paper, we will give the potential of IoE-based BEMs for enhancing the performance of building energy utilization in the future. Within the scope of this paper, the future trends of IoE in various fields will be discussed.
建筑是能源消耗的重要贡献者,约占世界一次能源总量的三分之一。建筑能源管理系统(BEMs)是一种用于监测和控制建筑能源需求的有效方法。针对当前建筑能源管理系统中存在的bem能源数据量大、能源数据丢失、能源过载等问题,提出了一种基于能源互联网(IoE)的bem。在本文中,我们将给出基于iom的bim在未来提高建筑能源利用性能的潜力。在本文的范围内,将讨论物联网在各个领域的未来趋势。
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引用次数: 18
The Mediation Effect of Traffic Locus of Control on the Relationships between Psychological Characteristics and Reckless Driving of Drivers 交通控制源在司机心理特征与鲁莽驾驶关系中的中介作用
Yoonsook Hwang, Dohyun Kim, Byongtae Jang, Hyun-Kyun Choi
We sought to investigate the mediation effect of multidimensional traffic-locus of control (T-LOC) of drivers on the relationships between their psychological characteristics and reckless driving behaviors using questionnaire battery composed of Driving Behavior Determinants Questionnaire, Reckless Driving Behavior Questionnaire, and Multidimensional Traffic Locus of Control Questionnaire. As results of the analysis showed that the mediation effect of T-LOC had a partial mediation of both internal and external T-LOC relationship between the drivers’ psychological characteristics and reckless driving behavior. More specifically, internal T-LOC had a tendency of complete mediation effect relationship between Anti-Personal Angry of psychological characteristics and Drunken Driving of reckless driving behavior and external T-LOC also had a complete mediation effect relationship between Anti-Personal Angry of psychological characteristics and Speeding of reckless driving behavior. Based on these results, we confirmed that even if the drivers had the same psychological characteristics, the kinds of reckless driving behavior was different according to the belief in the cause of the accident. Therefore, it is suggested that the systems that need to interact with drivers, such as in-vehicle intelligent systems and autonomous vehicles, should reflect their psychological characteristics.
采用《驾驶行为决定因素问卷》、《鲁莽驾驶行为问卷》和《多维交通控制源问卷》组成的问卷组,探讨驾驶员多维交通控制源在驾驶员心理特征与鲁莽驾驶行为关系中的中介作用。分析结果表明,T-LOC的中介作用在驾驶员心理特征与鲁莽驾驶行为之间的内外T-LOC关系中都起到部分中介作用。更具体地说,内部T-LOC在反个人愤怒心理特征与酒后鲁莽驾驶行为之间具有完全中介效应关系,外部T-LOC在反个人愤怒心理特征与酒后鲁莽驾驶行为之间也具有完全中介效应关系。基于这些结果,我们证实,即使驾驶员具有相同的心理特征,根据对事故原因的信念,鲁莽驾驶行为的种类也不同。因此,建议需要与驾驶员交互的系统,如车载智能系统和自动驾驶汽车,应反映驾驶员的心理特征。
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引用次数: 1
A Performance Analysis of Lightweight Cryptography Algorithm for Data Privacy in IoT Devices 面向物联网设备数据隐私的轻量级加密算法性能分析
Young-Sae Kim, G. Kim
With the growth of IoT technology, there stands out two key features in the device field, the explosive increase in sensor devices and the emergence of services specific to lightweight devices such as the Internet of small Things. In order to provide services through such lightweight devices, a secure connection must be given and lightweight encryption techniques are required to protect privacy data. In this paper, we present the result of comparing and analyzing the encryption performance of one of the most popular lightweight encryption algorithms on the open hardware platform and on the commercial hardware platform designed for lightweight IoT devices. The result of this paper can be used as a performance reference for developing and implementing cryptography algorithms in lightweight devices.
随着物联网技术的发展,设备领域出现了两个关键特征:传感器设备的爆炸式增长,以及小型物联网等轻量级设备专用服务的出现。为了通过这种轻量级设备提供服务,必须提供安全连接,并需要轻量级加密技术来保护隐私数据。在本文中,我们给出了比较和分析最流行的轻量级加密算法之一在开放硬件平台和为轻量级物联网设备设计的商用硬件平台上的加密性能的结果。本文的研究结果可作为在轻量级设备中开发和实现加密算法的性能参考。
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引用次数: 3
Evaluating a Deep-Learning System for Automatically Calculating the Stroke ASPECT Score 评估一个深度学习系统自动计算笔划方面得分
Su-min Jung, T. Whangbo
The stroke is one of the leading causes of death around the world. It is a dangerous disease that results in a permanent disability. CT and MRI are representative imaging diagnostic tools for diagnosing the stroke. Particularly, CT has an advantage of examining the disease quickly. The Alberta Stroke Program Early CT Score (ASPECTS) is widely used as a tool to demonstrate the severity of the stroke based on CT images. However, it has a scoring variability issue among medical experts. This study proposed an object and automated ASPECT Score estimation system based on the image processing and deep learning technology for resolving the issue.
中风是世界上导致死亡的主要原因之一。这是一种会导致永久残疾的危险疾病。CT和MRI是诊断脑卒中的代表性影像学诊断工具。特别是,CT具有快速检查疾病的优势。阿尔伯塔中风项目早期CT评分(ASPECTS)被广泛用作基于CT图像显示中风严重程度的工具。然而,它在医学专家中存在评分差异问题。为了解决这一问题,本研究提出了一种基于图像处理和深度学习技术的对象和自动ASPECT评分估计系统。
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引用次数: 5
Driver Reaction Acceptance and Evaluation to Abnormal Driving Situations 驾驶员对异常驾驶情况的反应、接受与评价
Kwangsoo Kim, Bong Wan Kim, Jun Wook Lee, Dong-Hwan Park
This paper describes a system which generates an alert on an abnormal driving situation to a driver, receives a reaction from the driver, and evaluates the effectiveness of the alert. The abnormal driving situations are separated into three types: drowsy driving, reckless driving, and distracted driving. The system consists of several components: sensing component, analysis component, inference component, alert generation component, user interface, and evaluation component. The sensing component measures and collects the data related to the driving situations. The analysis component analyzes the raw data generated by individual sensing component and generates valuable information used to determine the driving situation. The inference component combines those information received from the analysis component and extracts an abnormal driving situation. The alert generation component generates a different alert according to each abnormal driving situation. The user interface displays the alert and receives a reaction from the driver. The evaluation component evaluates the effectiveness of the alert. This system will help prevent vehicle accidents caused by a driver in abnormal driving situations.
本文介绍了一种对异常驾驶情况向驾驶员发出警报,接收驾驶员的反应,并对警报的有效性进行评估的系统。非正常驾驶分为三种类型:嗜睡驾驶、鲁莽驾驶和分心驾驶。该系统由传感组件、分析组件、推理组件、警报生成组件、用户界面组件和评估组件组成。传感组件测量并收集与驾驶情况相关的数据。分析组件分析由各个传感组件生成的原始数据,并生成用于确定驾驶情况的有价值的信息。推理组件结合从分析组件接收到的这些信息,提取出异常驾驶情况。警报生成组件根据每个异常驾驶情况产生不同的警报。用户界面显示警报并接收来自驱动程序的反应。评估组件评估警报的有效性。该系统将有助于防止驾驶员在非正常驾驶情况下造成的交通事故。
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引用次数: 3
Detect and avoid system based on multi sensor fusion for UAV 基于多传感器融合的无人机检测与规避系统
Myungseok Ki, J. Cha, Hyeonsu Lyu
With the rapid growth of the personal drone market, manufacturers of unmanned aerial vehicles(UAV) mainly used in the existing military field are expanding its application in various fields such as leisure, industrial, and public as well. In addition, the autonomous flight of UAV is being developed through combination with various sensors and signal processing technologies. Obstacle detect and avoidance is the most important function to ensure safety of autonomous flight mode. In this paper, we propose an obstacle detect and avoid technique that combines a 2D LiDAR with a stereo camera for safe navigation in autonomous flight of a multi-copter UAV.
随着个人无人机市场的快速增长,目前主要用于军事领域的无人机制造商也在扩大其在休闲、工业、公共等各个领域的应用。此外,通过结合各种传感器和信号处理技术,正在开发无人机的自主飞行。障碍物检测与避障是保证自主飞行安全的重要功能。在本文中,我们提出了一种结合二维激光雷达和立体相机的多旋翼无人机自主飞行安全导航障碍检测和避开技术。
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引用次数: 14
期刊
2018 International Conference on Information and Communication Technology Convergence (ICTC)
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