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ADAPTABILITY TO PERIODIC VARIABLE DISTURBANCE USING PROBABILISTIC STATE-ACTION PAIR PREDICTION 基于概率状态-动作对预测的周期变量扰动适应性
Masashi Sugimoto
When operating a robot in a real environment, its behavior is probabilistic because of slight transition of the robot’s state or error in the action taken at a given time. In this case, it is difficult to operate the robot using rule-based-like action decision methods. Therefore, ad-hoc-like action decision methods are needed. A method is proposed for deciding on future actions based on a robot’s present information. The state-action pair prediction method has been reported; it links the state and future actions of a robot using internal information. A statistical approach to state-action pair prediction has been introduced previously, in which the existence probability of a state and action in the future is calculated according to the normal distribution. This paper considers the situation where a command input is sent to an inverted pendulum. Based on this command input, the shape of the floor is changed from flat to undulating. The results of verification experiments confirm that the proposed method can adjust the shape of the floor autonomously.
在真实环境中操作机器人时,由于机器人在给定时间所采取的动作存在轻微的状态转移或错误,机器人的行为是概率性的。在这种情况下,很难使用基于规则的动作决策方法来操作机器人。因此,需要一种特别的行动决策方法。提出了一种基于机器人当前信息的未来行动决策方法。已经报道了状态-动作对预测方法;它利用内部信息将机器人的状态和未来动作联系起来。先前已经介绍了一种状态-动作对预测的统计方法,该方法根据正态分布计算状态和动作在未来的存在概率。本文考虑向倒立摆发送命令输入的情况。根据这个命令输入,地板的形状从平坦变为起伏。验证实验结果表明,该方法可以实现楼板形状的自动调节。
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引用次数: 0
DEVELOPMENT A FILE TRANSFER APPLICATION BY HANDOVER FOR 3D VIDEO COMMUNICATION SYSTEM IN SYNCHRONIZED AR SPACE 开发了一个三维视频通信系统在同步空间中的文件传输应用程序
Y. Fujibayashi, H. Imamura
Existing video communication systems, used in business or private life, provides file data transfer function. However, these systems need many manipulation steps by using mouse and keyboard. These steps are not easy to transfer files for the PC beginners. Furthermore, it is not intuitive action from the point of view of handing of things. In order to solve these issues, we have proposed 3D video communication system by using Kinect and Head Mounted Display (HMD). This system provides users communications with realistic sensation and intuitive manipulation. In this system, users can see the other user’s body part through HMD and communicate in AR (Augmented Reality) space. In this paper, we provide a intuitive file data transfer application by handing of AR objects using this system.
现有的视频通信系统,用于商业或私人生活,提供文件数据传输功能。然而,这些系统需要使用鼠标和键盘进行许多操作步骤。这些步骤对于PC初学者来说传输文件并不容易。此外,从处理事物的角度来看,这不是直观的行为。为了解决这些问题,我们提出了采用Kinect和头戴式显示器(HMD)的3D视频通信系统。该系统为用户通信提供了逼真的感觉和直观的操作。在这个系统中,用户可以通过头戴式显示器看到对方的身体部位,并在AR(增强现实)空间中进行交流。本文通过对AR对象的处理,提供了一个直观的文件数据传输应用。
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引用次数: 1
Temperature and Humidity Management of the Storage Houses of Food Using Data Logger 基于数据记录仪的食品库房温湿度管理
A. Alkandari
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引用次数: 1
PERFORMANCE EVALUATION OF MESSAGE PASSING VS. MULTITHREADING PARALLEL PROGRAMMING PARADIGMS ON MULTI-CORE SYSTEMS 消息传递与多线程并行编程范例在多核系统上的性能评估
Hadi Khalilieh, Rezek Mohammad Nidal Kafri
Present and future multi-core computational system architecture attracts researchers to utilize this architecture as an adequate and inexpensive solution to achieve high performance computation for many problems. The multi-core architecture enables us to implement shared memory and/or message passing parallel processing paradigms. Therefore, we need appropriate standard libraries in order to utilize the resources of this architecture efficiently and effectively. In this work, we evaluate the performance of message passing using two versions of the well-known message passing interface (MPI) library: MPICH1 vs. MPICH2. Furthermore, we compared the performance of shared memory using OpenMP that supports multithreading with MPI. The results show that the performance when MPICH2 is used is better than MPICH1. The results indicate that multithreading performs better than message passing.
当前和未来的多核计算系统体系结构吸引着研究人员利用这种体系结构作为一种适当且廉价的解决方案来实现许多问题的高性能计算。多核架构使我们能够实现共享内存和/或消息传递并行处理范例。因此,我们需要适当的标准库,以便高效地利用该体系结构的资源。在这项工作中,我们使用两个版本的众所周知的消息传递接口(MPI)库:MPICH1和MPICH2来评估消息传递的性能。此外,我们还比较了使用支持多线程的OpenMP与MPI共享内存的性能。结果表明,使用MPICH2时的性能优于MPICH1。结果表明,多线程的性能优于消息传递。
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引用次数: 1
HYBRID METHOD BASED RETINAL OPTIC DISC DETECTION 基于混合方法的视网膜视盘检测
A. Muntasa, M. Siradjuddin
We propose a hybrid method based for the Optic Disc (OD) detection in the retinal image. This research consists of three main steps. First, blood vessel removal with homomorphic and median filtering. Second, edge detection using canny operator. Third, OD detection using the Hough transform. The Hough transform is used since the objective object is the curve with circle shape, i.e. optic disc region. Therefore, we can find the shape by using the Hough transform with the circle equation. In this research, the generated circles from Hough transform are matched with the edge pixels of the retinal image. The closest match (showed by the maximum value of accumulator) means that the optic disc is detected. The experiments show that the best accuracy is achieved when the distance value between the generated circles is 3. The average sensitivity, specificity, and balanced accuracy are 64.6182575%, 98.58545%, and 81.6018%, respectively.
提出了一种基于视盘(OD)检测的混合方法。本研究主要包括三个步骤。首先,用同态滤波和中值滤波去除血管。其次,采用canny算子进行边缘检测。第三,利用霍夫变换进行OD检测。由于客观对象为圆形曲线,即视盘区域,因此采用霍夫变换。因此,我们可以利用霍夫变换与圆方程求出形状。在本研究中,霍夫变换生成的圆与视网膜图像的边缘像素进行匹配。最接近的匹配(由累加器的最大值表示)意味着检测到视盘。实验表明,当生成的圆之间的距离值为3时,精度最高。平均灵敏度、特异度和平衡准确度分别为64.6182575%、98.58545%和81.6018%。
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引用次数: 4
A performance optimization model of task scheduling towards green cloud computing 面向绿色云计算的任务调度性能优化模型
M. Hussin, Nor Azura Husin Noris Mohd. Norowi Raja Azlina Raja Mahmood
Cloud computing becomes a powerful trend in the development of ICT services. It allows dynamic resource scaling from infinite resource pool for supporting Cloud users. Such scenario leads to necessity of larger size of computing infrastructure and increases processing power. Demand on the cloud computing is continually growth that makes it changes to scope of green cloud computing. It aims to reduce energy consumption in Cloud computing while maintaining a better performance. However, there is lack of performance metric that analyzing trade-off between energy consumption and performance. Considering high volume of mixed users’ requirements and diversity of services offered; an appropriate performance model for achieving better balance between Cloud performance and energy consumption is needed. In this work, we focus on green Cloud Computing through scheduling optimization model. Specifically, we investigate a relationship between performance metrics that chosen in scheduling approaches with energy consumption for energy efficiency. Through such relationship, we develop an energy-based performance model that provides a clear picture on parameter selection in scheduling for effective energy management. We believed that better understanding on how to model the scheduling performance will lead to green Cloud computing.
云计算成为ICT业务发展的一个强大趋势。它允许从无限资源池中动态扩展资源,以支持云用户。这种情况导致需要更大规模的计算基础设施并提高处理能力。对云计算的需求不断增长,使其成为绿色云计算的范畴。它旨在降低云计算的能耗,同时保持更好的性能。然而,缺乏分析能耗和性能之间权衡的性能度量。考虑到大量不同用户的需求和所提供服务的多样性;需要一个适当的性能模型来实现云性能和能耗之间的更好平衡。在本工作中,我们主要通过调度优化模型来研究绿色云计算。具体而言,我们研究了在调度方法中选择的性能指标与能源消耗之间的关系。通过这种关系,我们建立了一个基于能量的绩效模型,为有效的能量管理提供了调度参数选择的清晰画面。我们相信,更好地理解如何建模调度性能将导致绿色云计算。
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引用次数: 0
Automatic Identification of Plant Physiological Disorders in Plant Factorieswith Artificial Light Using Convolutional Neural Networks 基于卷积神经网络的人工光植物生理失调自动识别
S. Shimamura, Seiichi Koakutsu Kenta Uehara
Plant factories with artificial light (PFAL) are attracting worldwide attention as a technology for stably producing crops. One of the problems of PFAL is tipburn which is a physiological disorder of crops. Tipburn is a phenomenon in which plant growth point cells are necrotized. Lettuce cultivated in PFAL in particular has a high frequency of tipburn. When tipburn occurs, its identification is done by human eye observation, and tipburn leaves are trimmed by hand or tipburn lettuce is removed from products. These operations require much labor and cost. If tipburn identification can automatically be done using machine learning, the economic effect will be great and it will be a driving force for spreading PFAL. In this study, we aim to perform binary discrimination of tipburn occurrence and its non-occurrence about lettuce cultivated in PFAL using machine learning with convolutional neural networks. In particular, we aim to recognize the symptom of tipburn which means the early stages of tipburn immediately before leaf tips discolor blackly and the commercial value as the vegetables is damaged. The results of the experiments indicate that the recognition of the symptom of tipburn can be performed with high accuracy.
人工光植物工厂作为一种稳定生产农作物的技术正受到世界各国的关注。作物的生理失调是作物生长的主要问题之一。Tipburn是植物生长点细胞坏死的一种现象。特别是在PFAL中种植的莴苣,发生倒伏的频率很高。当发生倾斜时,通过人眼观察进行识别,并用手修剪倾斜叶片或从产品中去除倾斜生菜。这些操作需要大量的劳动力和成本。如果能利用机器学习自动进行倾向性识别,经济效益将是巨大的,将成为pal推广的动力。在这项研究中,我们的目标是使用卷积神经网络的机器学习对PFAL中种植的生菜进行发生和不发生的二元判别。特别是,我们的目标是识别的症状,即倒栽油的早期阶段,在叶尖变色黑色和商业价值,因为蔬菜受到损害。实验结果表明,该方法能较准确地识别出烧伤症状。
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引用次数: 3
Examining Stock Price Movements on Prague Stock Exchange Using Text Classification 使用文本分类检查布拉格证券交易所的股票价格变动
Jonás Petrovský, Frantisek Darena Pavel Netolický
The goal of the article was to examine the relationship between the content of text documents published on the Internet and the direction of movement of stock prices on the Prague Stock Exchange. The relationship was modeled by text classification. As data were used news articles and discussion posts on Czech websites and the value of the PX stock index and stock price of company CEZ. Document’s class (plus/minus/constant) was determined by the relative price change that happened between the publication date of a document and the next working day. We achieved a high accuracy of 75% for classification of discussion posts, however the classification accuracy for news articles was about 60%. We tried both binary (documents with constant class were discarded) and ternary classification – the former was in all cases more successful.
这篇文章的目的是研究互联网上发布的文本文件的内容与布拉格证券交易所股票价格走势之间的关系。该关系通过文本分类建模。As数据采用捷克网站上的新闻文章和讨论帖,以及PX股票指数和CEZ公司股价的数值。文件的类别(加/减/常数)由文件发布日期和下一个工作日之间发生的相对价格变化决定。我们对讨论帖的分类准确率达到了75%,而对新闻文章的分类准确率在60%左右。我们尝试了二进制(带有常量类的文档被丢弃)和三元分类——前者在所有情况下都更成功。
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引用次数: 0
EFFECT OF THREAD WEIGHT READJUSTMENT SCHEDULER ON FAIRNESS IN MULTITASKING OS 多任务操作系统中线程权重调整调度程序对公平性的影响
S. Mostafa, S. Kusakabe
In this paper, we investigate the effectiveness of Thread Weight Readjustment Scheduler (TWRS) for multitasking operating systems from the view point of fairness. Fairness is one of the most important criteria in designing any operating system scheduler. TWRS is a proportional share CPU scheduler designed explicitly for scheduling multithreaded processes depending on weight readjustment. We show that weight readjustment enables existing scheduler to significantly reduce, but not eliminate, the unfair in its allocations. TWRS preallocates certain amount of CPU time to each thread of the running multi-threaded processes. The scheduler was implemented and evaluated under specific hardware and software environment. We implement our scheduler in the Linux kernel and demonstrate its efficacy through an experimental evaluation. According to our evaluation results, our scheduler is promising to optimize some scheduling criteria, fairness in this context. We conclude from our results that TWRS is practical and desirable for general-purpose operating systems.
本文从公平性的角度研究了多线程操作系统中线程权重调整调度程序(TWRS)的有效性。公平性是设计任何操作系统调度器时最重要的标准之一。TWRS是一个比例共享CPU调度器,专为根据权重调整来调度多线程进程而设计。我们表明,权重调整使现有调度器能够显著减少(但不能消除)其分配中的不公平。TWRS为正在运行的多线程进程的每个线程预先分配一定的CPU时间。在特定的硬件和软件环境下对调度程序进行了实现和评估。我们在Linux内核中实现了调度器,并通过实验评估证明了它的有效性。根据我们的评估结果,我们的调度程序有望优化一些调度标准,在这种情况下公平。我们从我们的结果中得出结论,TWRS对于通用操作系统是实用和理想的。
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引用次数: 1
A Study for Development of Route Prediction Method for Vessel using SVR 基于SVR的船舶航路预测方法开发研究
Kotetsu Kawakami, Jumpei Matsue, Ryota Isozaki, Shunsuke Inada, Masashi Sugimoto, S. Tsuzuki, Kazuhiko Nagao
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引用次数: 0
期刊
International journal of new computer architectures and their applications
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