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2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)最新文献

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3D Model Generation of Cattle by Shape-from-Silhouette Method for ICT Agriculture ICT农业中基于形状-轮廓法的牛三维模型生成
Yuze Xiang, Shohei Nakamura, Hiroki Tamari, S. Takano, Y. Okada
This paper presents 3D model generation of cattle by shape-from-silhouette method for ICT agriculture. The use of advanced ICT has any possibility to improve various agricultural activities. The authors have such a project whose targets are beef cattle. The goal of the project is to capture 3D shape information of cattle for the estimation of their body condition scores (BCS). Cattle do not stop moving because they are animals. Therefore, it is very difficult to capture their body shape information even using a commercial 3D scanner. Another reason is that the color of beef cattle is almost black and then a commercial 3D scanner like a laser range finder cannot be used. The authors use multiple RGB cameras to capture silhouette images of a cow and employ shape-from-silhouette method to generate its 3D model. Actually, the authors have taken multiple RGB camera images of cows and generated their 3D models. And then, it can be found that the generated 3D models' volumes of cows have positive correlation with their weights. This result says that the estimation of cows' weights is possible from multiple RGB camera images of them.
本文提出了一种基于信息通信技术(ICT)农业的牛的三维模型生成方法。使用先进的信息通信技术有可能改善各种农业活动。作者有这样一个项目,其目标是肉牛。该项目的目标是捕获牛的三维形状信息,用于估计它们的身体状况评分(BCS)。牛不会因为是动物而停止运动。因此,即使使用商用3D扫描仪,也很难捕捉到他们的体型信息。另一个原因是,肉牛的颜色几乎是黑色的,因此无法使用激光测距仪等商用3D扫描仪。作者使用多个RGB相机捕捉奶牛的剪影图像,并采用形状-从剪影方法生成其3D模型。实际上,作者已经拍摄了多张奶牛的RGB相机图像,并生成了它们的3D模型。然后,可以发现生成的奶牛三维模型的体积与其体重呈正相关。这一结果表明,从奶牛的多个RGB相机图像中估计奶牛的体重是可能的。
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引用次数: 8
A Proposal of Coding Rule Learning Function in Java Programming Learning Assistant System Java编程学习辅助系统中编码规则学习功能的设计
N. Funabiki, Takuya Ogawa, N. Ishihara, M. Kuribayashi, W. Kao
Recently, Java has been educated in many universities and professional schools due to reliability, portability, and scalability. However, because of its limited time in Java programming courses, coding rules are rarely educated. As a result, codes made by students become far from readable codes. In this paper, we propose a coding rule learning function using static code analyzers in Java Programming Learning Assistant System (JPLAS), targeting students who have accomplished the grammar learning and are going to write practical codes for final projects. Coding rules for this function consist of naming rules, coding styles, and potential problems. We evaluate the improvement of readability in four codes refined by this function and the usability of this function through the questionnaires completed by five students. In future studies, we expect that this function will be employed in Java programming courses.
最近,由于可靠性、可移植性和可伸缩性,Java已经在许多大学和专业学校中普及。然而,由于其在Java编程课程中的时间有限,编码规则很少被教育。因此,学生编写的代码远不是可读的代码。在本文中,我们提出了一个使用Java编程学习辅助系统(JPLAS)中的静态代码分析器的编码规则学习功能,针对那些已经完成语法学习并准备为期末项目编写实用代码的学生。该函数的编码规则包括命名规则、编码风格和潜在问题。通过五名学生完成的问卷调查,我们评估了该功能对四种代码的可读性提高以及该功能的可用性。在未来的研究中,我们期望在Java编程课程中使用这个函数。
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引用次数: 7
3D Model Data Retrieval System Using KAZE Feature for Accepting 2D Image as Query 利用KAZE特征接受二维图像查询的三维模型数据检索系统
Hideki Sagara, S. Takano, Y. Okada
Recently, with the development of graphics devices and the widely use of 3D geometrical sensors, the quantity of multimedia data including 3D model data has become increasing. Therefore, the technological needs for searching those data to create multimedia contents are expanding. In this paper, the authors propose a 3D model data retrieval system using KAZE image feature that accepts 2D images as queries for the search. The paper explains a system overview and the details of its functionalities. It also shows experimental results. From the results, the proposed system as a 3D model search system that accepts a 3D model as a query indicates better performance than D2 method which is one of the popular 3D model search methods although it indicates not so good performance when accepts 2D images as the query.
近年来,随着图形设备的发展和三维几何传感器的广泛应用,包括三维模型数据在内的多媒体数据量越来越大。因此,搜索这些数据以创建多媒体内容的技术需求正在扩大。在本文中,作者提出了一个使用KAZE图像特征的三维模型数据检索系统,该系统接受二维图像作为查询进行搜索。本文介绍了一个系统概述和其功能的细节。并给出了实验结果。从结果来看,该系统作为接受3D模型作为查询的3D模型搜索系统,虽然在接受2D图像作为查询时表现不佳,但其性能优于目前流行的3D模型搜索方法之一D2方法。
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引用次数: 0
Improvement of Mesh Free Deforming Analysis for Maxillofacial Palpation on a Virtual Training System 基于虚拟训练系统的颌面触诊无网格变形分析改进
Kenji Yoshitomi, T. Tokuyasu, Kazuhiko Toshimitsu, T. Nakayama, K. Okamura, K. Yoshiura
Palpation is important medical diagnostic technic to make correct diagnosis of symptomatic state. It requires a lot of palpation experience under leadership of an experienced medical doctor. Hence, a palpation training system with virtual model of an affected part is useful to get better at the skill. However, there is no practical training for maxillofacial palpation in the dental education curriculum in Japan. So, it is necessary for dental students that the virtual training system is developed, which can to practice maxillofacial palpation. Then, a trial palpation training system for maxillofacial disorder is developed by using virtual reality model and haptic interface. The system is consisted of a PC and the haptic device - PHANToM Omni. A virtual affected part model is constructed from multi-CT images through commercial software. In particular, the dynamic responding virtual model and real-time analysis method through simplified mesh free method are improved. Consequently, we succeed in operation at the real-time by the palpation training system.
触诊是正确诊断症状的重要医学诊断技术。这需要在有经验的医生的指导下有丰富的触诊经验。因此,一个具有受影响部位虚拟模型的触诊训练系统有助于提高触诊技能。然而,在日本的牙科教育课程中,并没有颌面触诊的实践训练。因此,有必要开发一套能够进行颌面触诊练习的虚拟训练系统。然后,利用虚拟现实模型和触觉界面开发了颌面部疾病的试诊训练系统。该系统由PC机和触觉设备幻影Omni组成。利用商业软件从多幅ct图像中构建虚拟受累部位模型。特别是改进了通过简化无网格法建立的动态响应虚拟模型和实时分析方法。因此,我们通过触诊训练系统成功地实现了实时操作。
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引用次数: 1
Real-Time Motion Capture: An Overview 实时动作捕捉:概述
Xudong Zhu, K. F. Li
Many emerging motion-related applications, such as virtual reality, decision making, and health monitoring, demand reliability and quick response upon input changes. Motion capture has been a well-researched topic in the past decades with applications in many industries. The ability to capture motion goes hand in hand with real-time capability in a system. This paper gives an overview on real-time motion capture, including frameworks, recording devices, and algorithms. Using real-time motion capture as a tool to solve application problems is also described.
许多新兴的运动相关应用,如虚拟现实、决策制定和健康监测,都要求可靠性和对输入变化的快速响应。在过去的几十年里,动作捕捉一直是一个研究得很好的话题,在许多行业都有应用。捕捉动作的能力与系统的实时能力密切相关。本文概述了实时动作捕捉,包括框架、记录设备和算法。还描述了使用实时动作捕捉作为解决应用问题的工具。
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引用次数: 10
Investigation of Fitness Function Weight-Coefficients for Optimization in WMN-PSO Simulation System WMN-PSO仿真系统中适应度函数权系数优化研究
Shinji Sakamoto, Tetsuya Oda, Makoto Ikeda, L. Barolli, F. Xhafa, I. Woungang
With the fast development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a simulation system based on Particle Swam Optimization for solving node placement problem in wireless mesh networks, called WMN-PSO. In this paper, we use Size of Giant Component (SGC) and Number of Covered Mesh Clients (NCMC) as metrics for optimization. Then, we analyze effects of weight-coefficients for SGC and NCMC. From the simulation results, we found that the best values of the weight-coefficients for SGC and NCMC are 0.7 and 0.3, respectively.
随着无线技术的快速发展,无线网状网络(WMNs)以其低廉的成本和高速的无线网络连接能力成为一种重要的网络基础设施。在我们之前的工作中,我们实现了一个基于粒子游优化的仿真系统来解决无线网状网络中的节点放置问题,称为WMN-PSO。在本文中,我们使用巨型组件大小(SGC)和覆盖网格客户端数量(NCMC)作为优化指标。然后分析了权重系数对SGC和NCMC的影响。从模拟结果来看,SGC和NCMC的最佳权重系数分别为0.7和0.3。
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引用次数: 5
Motion Retrieval Based on Semantic Code and Dynamic Bayesian Network Inference 基于语义码和动态贝叶斯网络推理的运动检索
Q. Xiao, K. F. Li, Ren Song
A novel motion retrieval scheme is proposed. Based on semantic analysis and graph model, this scheme involves system learning in the first stage. In system learning, a Motion Semantic Dictionary (MSD) is derived by clustering. A Dynamic Bayesian Network (DBN) graph model is constructed based on the MSD and learning parameters. MSD and DBN are combined to derive motion information as features. Motion categories are recognized based on motion feature queries and matching. Experimental results are presented, showing the proposed method is more effective in execution time as compare to some existing representative algorithms.
提出了一种新的运动检索方案。该方案基于语义分析和图模型,第一阶段涉及系统学习。在系统学习中,通过聚类方法得到运动语义字典(MSD)。基于MSD和学习参数,构建了动态贝叶斯网络(DBN)图模型。结合MSD和DBN得到运动信息作为特征。基于运动特征查询和匹配来识别运动类别。实验结果表明,与已有的代表性算法相比,该方法在执行时间上具有更高的效率。
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引用次数: 0
Influences of 3D Aircraft Model to ILS Localizer 三维飞机模型对盲降定位器的影响
J. Honda, Hisashi Yokoyama, H. Tajima, T. Otsuyama
This paper is concerned with a numerical simulation of ILS subsystem Localizer (LOC) which provides the guidance in the horizontal position of an aircraft for the runway center line. The LOC emits two types of signals, that is, carrier wave and sideband waves modulated by a 90 Hz and a 150 Hz tone. The performance of the LOC is given by the difference in the depth of the modulation (DDM). However, their signals are influenced by obstacles, such as large hanger, terminal buildings and aircraft. They result in the DDM errors. In this paper, the authors analyze the multipath interferences caused by aircraft to LOC whose type is one frequency LOC (1fLOC). A simplified ray tracing method is introduced, and 3D aircraft model is used for numerical simulation. It is discussed how scattered waves from aircraft influence to the LOC specifications.
本文对在飞机水平位置为跑道中心线提供制导的盲降子系统定位器进行了数值模拟。LOC发射两种类型的信号,即90 Hz和150 Hz调制的载波和边带波。LOC的性能由调制深度差(DDM)决定。然而,它们的信号受到障碍物的影响,如大型机库、航站楼和飞机。它们会导致DDM错误。本文分析了飞机对一频LOC (1fLOC)型LOC产生的多径干扰。介绍了一种简化的光线追踪方法,并采用三维飞机模型进行了数值模拟。讨论了飞机散射波对LOC参数的影响。
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引用次数: 3
A Posture Detection System Using Consumer Wearable Sensors 一种使用消费者可穿戴传感器的姿势检测系统
Masatoshi Matsumoto, Kosuke Takano
Having the correct postures in many situations, such as standing, sitting, playing a sport, and working, makes our bodies function properly and keeps us healthy. The advancement of sensor technology allows us to quickly measure our posture in every scene using consumer-grade devices such as a wrist-worn type tracking sensors, smartphones, and shoes embedded with several kinds of sensors. It is not difficult to detect correct postures of athletes who can train at fully equipped facilities. However, for ordinary users, it is necessary to use a combination of such consumer portable devices for checking proper postures during daily exercise. In this study, we present a posture detection system using sensors embedded in consumer portable devices, for the purpose of posture checking. Experiments are performed to illustrate the feasibility of our system by the use of some exercise motions.
在许多情况下保持正确的姿势,如站着、坐着、运动和工作,使我们的身体机能正常,保持健康。传感器技术的进步使我们能够使用消费级设备(如腕带式跟踪传感器、智能手机和嵌入多种传感器的鞋子)在每个场景中快速测量我们的姿势。可以在设备齐全的设施中训练的运动员,不难发现正确的姿势。然而,对于普通用户来说,有必要在日常锻炼中使用这些消费便携式设备的组合来检查正确的姿势。在这项研究中,我们提出了一种姿势检测系统,该系统使用嵌入在消费者便携式设备中的传感器来进行姿势检查。通过一些运动动作的实验来说明系统的可行性。
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引用次数: 7
Performance Analysis of WMN-GA System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms 不同WMN结构和TCP拥塞避免算法下WMN- ga系统性能分析
I. Shinko, Tetsuya Oda, Admir Barolli, Vladi Koliçi, L. Barolli, F. Xhafa
In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures considering throughput, delay, jitter, fairness index, queue and remaining energy metrics. For simulations, we used ns-3, Distributed Coordination Function (DCF) and Optimized Link State Routing (OLSR). We compare the performance for Transmission Control Protocol (TCP) Tahoe, Reno and NewReno for normal distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for both WMN architectures, the PDR values of TCP congestion-avoidance algorithms are almost the same. For I/B WMN architecture, the throughput of TCP congestionavoidance algorithms is almost the same. However, for Hybrid WMN, the throughput of TCP NewReno is higher than other algorithms. The delay and jitter of I/B WMN are lower compared with Hybrid WMN. The fairness index of Hybrid WMN is higher than I/B WMN. For both WMN architectures, the queue size is almost the same. For both WMN architectures, the energy decreases sharply, but for TCP Reno the remaining energy of Hybrid WMN is higher than I/B WMN.
在本文中,我们评估了两种无线网状网络(WMNs)体系结构的性能,考虑吞吐量,延迟,抖动,公平性指数,队列和剩余能量指标。为了进行仿真,我们使用了ns-3、分布式协调函数(DCF)和优化链路状态路由(OLSR)。通过在网络中发送多个恒定比特率(CBR)流,比较了传输控制协议(TCP) Tahoe、Reno和NewReno在网格客户端正态分布下的性能。仿真结果表明,在两种WMN体系结构下,TCP拥塞避免算法的PDR值基本相同。对于I/B WMN架构,TCP拥塞避免算法的吞吐量几乎相同。但是,对于Hybrid WMN, TCP NewReno的吞吐量高于其他算法。与混合WMN相比,I/B WMN具有较低的时延和抖动。混合WMN的公平性指数高于I/B WMN。对于两种WMN体系结构,队列大小几乎相同。对于两种WMN架构,能量都急剧下降,但对于TCP Reno, Hybrid WMN的剩余能量高于I/B WMN。
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引用次数: 0
期刊
2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)
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