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2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)最新文献

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EyeVista: An assistive wearable device for visually impaired sprint athletes EyeVista:为视力受损的短跑运动员设计的可穿戴辅助设备
Hiranya Peiris, Charitha Kulasekara, Hashan Wijesinghe, B. Kothalawala, N. Walgampaya, D. Kasthurirathna
On-going progressions of Information Technology increase the scope for computer vision-based interventions to facilitate efficient and promising technology for people with disabilities. This project aims to develop a wearable navigational assistive device, titled EyeVista, to facilitate visually impaired sprint athletes. It is a lightweight, easy-to-use, customizable and low-cost wearable jacket built-in with off-the-shelf based on computer vision techniques. Synthesis of research initially reflects the impact of the main barriers of a human guide and how to break down such barriers. In doing so, we hope to introduce an alternative to the current practice of having a human guide for blind athletes, overcoming the shortcomings of it. The designed system uses Raspberry Pi single board computer to process the real-time image captured by Raspberry Pi camera module to navigate the athletes within the assigned track and to avoid collisions. As a result, we believe the project EyeVista will empower the visually impaired sprint athletes to enhance their performance by easing their mobility by allowing the user to move within their relevant track lanes and avoid collisions without the support of a human guide and enhance the independence, safety along with the quality of life.
资讯科技的不断发展扩大了以电脑视觉为基础的干预措施的范围,以促进为残疾人士提供有效和有前途的技术。该项目旨在开发一种名为EyeVista的可穿戴导航辅助设备,以方便视力受损的短跑运动员。这是一款重量轻、易于使用、可定制、低成本的可穿戴夹克,内置了基于计算机视觉技术的现成产品。综合研究最初反映了人类向导的主要障碍的影响以及如何打破这些障碍。在这样做的过程中,我们希望引入一种替代目前为盲人运动员提供人类向导的做法,克服它的缺点。设计的系统采用树莓派单板计算机对树莓派相机模块采集的实时图像进行处理,使运动员在指定的赛道内进行导航,避免碰撞。因此,我们相信EyeVista项目将帮助视力受损的短跑运动员提高他们的表现,让他们在没有人类向导的支持下,在相关的赛道上移动,避免碰撞,提高独立性、安全性和生活质量。
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引用次数: 12
Use of data warehousing to analyze customer complaint data of Consumer Financial Protection Bureau of United States of America 利用数据仓库对美国消费者金融保护局的客户投诉数据进行分析
W. R. A. Fonseka, D. Nadeesha, P. M. C. Thakshila, N. A. Jeewandara, D. M. Wijesinghe, R. Sahabandu, P. Asanka
The Consumer Financial Protection Bureau was established in USA for enabling the USA consumers to report customer support and complaint related information regarding their financial issues with the US government. The complaint data is freely available for analysis and tracking of how efficiently and effectively the financial institutes handle the complaints lodged against them. Each complaint consists of attributes that can uniquely describe and identify it. These features have been exploited for data mining, analysis and predictions. The data warehouse creation and data analysis was done using Microsoft SQL Server Technologies. The data mining techniques such as Microsoft Decision Tree, Microsoft Naïve Bayes, Microsoft Time Series and Microsoft Neural Network models were used in this study. Based on the results, it was observed that there is a correlation between the growth of complaints in certain financial domains with regards to changes in the economic, political and regulatory forces. Probability predictions also show, how each product can get a particular issue-related complaint, how a particular issue can get a timely response, how a particular issue can cause a consumer dispute and what type of issues are mostly lodged via a particular submission method, etc. This information can be used in prescriptive analysis to enhance financial consumer services and also improve the response quality of automated consumer support systems.
消费者金融保护局在美国成立,使美国消费者能够向美国政府报告有关其金融问题的客户支持和投诉相关信息。投诉数据是免费提供的,用于分析和跟踪金融机构处理投诉的效率和效果。每个投诉都包含可以唯一描述和识别它的属性。这些特性已被用于数据挖掘、分析和预测。数据仓库的创建和数据分析使用Microsoft SQL Server技术完成。本研究采用了微软决策树、微软Naïve贝叶斯、微软时间序列和微软神经网络模型等数据挖掘技术。根据调查结果,人们注意到,在某些金融领域,投诉的增加与经济、政治和管制力量的变化之间存在着相互关系。概率预测还显示,每种产品如何得到与特定问题相关的投诉,特定问题如何得到及时回应,特定问题如何引起消费者争议,以及哪种类型的问题主要通过特定提交方式提出,等等。这些信息可用于规范分析,以增强金融消费者服务,并提高自动消费者支持系统的响应质量。
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引用次数: 2
Sensor fusion for visually impaired navigation in constrained spaces 视障人士在受限空间中导航的传感器融合
C. S. Silva, P. Wimalaratne
This work presents a multi-sensor fusion approach for an electronic navigation aid for the blind and visually impaired persons. This approach proposes to intelligently fuse the surrounding information senses via ultrasonic sensors and vision sensors. The intelligent component of the prototype serves in several facets including object detection and recognition. Extended Kalman filter is used to fuse the data emerging from homogeneous sensors and rule-based fusion is used to fuse the data from heterogeneous sensors. Feedback is provided via tactile and audio feedback. Critical obstacles of blind navigation like staircases are recognized by the Hough line detection in image processing. Rotations, which occur due to the body movements in the camera, correct using the fusion of data obtain by the inertial measurement unit which is connected to the camera. The results of the evaluations proved that the use of fusion of multiple homogeneous sensors improve the detection of a particular obstacle and fusion of vision and ultrasonic sensors improve the object detection identification of the obstacles. The current status of the work and the future developments are presented in this paper.
本文提出了一种多传感器融合的盲人和视障人士电子导航辅助装置。该方法提出通过超声波传感器和视觉传感器对周围信息感官进行智能融合。原型的智能组件在目标检测和识别等方面提供服务。采用扩展卡尔曼滤波对同质传感器数据进行融合,采用基于规则的融合对异质传感器数据进行融合。反馈通过触觉和音频反馈提供。在图像处理中采用霍夫线检测方法识别楼梯等盲航障碍。由于相机中的身体运动而发生的旋转,使用连接到相机的惯性测量单元获得的数据融合来纠正。评价结果表明,采用多均匀传感器融合可以提高对特定障碍物的检测,视觉和超声传感器融合可以提高对障碍物的目标检测识别。本文介绍了研究的现状和未来的发展方向。
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引用次数: 12
An optimized Parallel Failure-less Aho-Corasick algorithm for DNA sequence matching DNA序列匹配的优化并行无故障Aho-Corasick算法
Vajira Lasantha Thambawita, R. Ragel, D. Elkaduwe
The Aho-Corasick algorithm is a multiple patterns searching algorithm running sequentially in various applications like network intrusion detection and bioinformatics for finding several input strings within a given large input string. The parallel version of the Aho-Corasick algorithm is called as Parallel Failure-less Aho-Corasick algorithm because it doesnt need failure links like in the original Aho-Corasick algorithm. In this research, we implemented an application specific parallel failureless Aho-Corasick algorithm on the general purpose graphic processing unit by applying several cache optimization techniques for matching DNA sequences. Our parallel Aho-Corasick algorithm shows better performance than the available parallel Aho-Corasick algorithm library due to its simplicity and optimized cache memory usage of graphic processing units for matching DNA sequences.
ho- corasick算法是一种顺序运行的多模式搜索算法,用于在给定的大输入字符串中查找多个输入字符串,如网络入侵检测和生物信息学。Aho-Corasick算法的并行版本被称为并行无故障Aho-Corasick算法,因为它不像原来的Aho-Corasick算法那样需要故障链接。在本研究中,我们通过应用几种匹配DNA序列的缓存优化技术,在通用图形处理单元上实现了一种特定应用的并行无故障Aho-Corasick算法。我们的并行Aho-Corasick算法由于其简单性和优化的DNA序列匹配图形处理单元的缓存使用,比现有的并行Aho-Corasick算法库表现出更好的性能。
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引用次数: 2
A novel hybrid approach to detect and correct spelling in Tamil text 一种新颖的混合方法来检测和纠正泰米尔文本中的拼写
Ratnasingam Sakuntharaj, S. Mahesan
A spell checker is a tool to check the spelling of words in a document, validate them and in case of finding error in spelling, list out the possible words as suggestions. There are several researches available on spell checkers for European languages and Indian languages. But few for Tamil language, maybe, because of its nature as it is a highly inflectional and complex language. An efficient error detection and correction approach for spell checking in Tamil language has been proposed in this paper. A novel hybrid approach is adopted using tree-based algorithm with stemming and n-gram techniques. Testing results show that our system detects perfectively the error in spelling and provides most suitable suggestions for correcting the misspelt words with minimum of 91% accuracy.
拼写检查器是一种工具,用于检查文档中的单词拼写,验证它们,并在发现拼写错误的情况下列出可能的单词作为建议。有一些关于欧洲语言和印度语言的拼写检查器的研究。但泰米尔语可能很少,因为它的本质是一种高度屈折和复杂的语言。本文提出了一种有效的泰米尔语拼写检查纠错方法。采用基于树的词干提取和n-图技术的混合方法。测试结果表明,我们的系统可以很好地检测拼写错误,并提供最合适的拼写错误建议,准确率最低为91%。
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引用次数: 65
A systematic feature selection process for a Sinhala character recognition system 僧伽罗文字识别系统的系统特征选择过程
T. Kumara, R. Ragel
Optical Character Recognition (OCR) is a well-researched topic. Feature selection plays a vital role in a functional OCR system. The right feature selection process would make an OCR system faster, accurate and complete. The Sinhala language suffers from complete OCR systems. In this paper, we introduce a quantifiable, and systematic feature selection process for OCR systems. Using which, we show that the feature set that usually works well with English characters will not work for Sinhala letters. Further, we examine and compare some existing features in the literature and also introduce new features that would work well for Sinhala letter. We argue that the features we have identified and introduced would help researchers to make the best and complete OCR system for Sinhala.
光学字符识别(OCR)是一个被广泛研究的课题。特征选择在功能OCR系统中起着至关重要的作用。正确的特征选择过程可以使OCR系统更快、更准确、更完整。僧伽罗语有完整的OCR系统。在本文中,我们介绍了一种可量化的、系统的OCR系统特征选择过程。使用which,我们证明了通常适用于英语字符的特征集不适用于僧伽罗字母。此外,我们研究和比较了文献中的一些现有特征,并介绍了适用于僧伽罗字母的新特征。我们认为,我们所确定和介绍的特征将有助于研究人员为僧伽罗语制作最好和完整的OCR系统。
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引用次数: 4
Modelling of an innovative rail conveyor system 一个创新的轨道输送系统的建模
R.P. Abayasekara, Y. Zhang, C. Wheeler, A. Kulasekera
Belt conveyors are regarded as the most common material handling systems in the modern world due to their ability to handle a vast range of bulk materials. Modern belt conveyors are used in a wide range of industries ranging from food manufacturing to power generation. Although belt conveyors have been around for centuries, their principle structure have been unchanged. In this paper a novel type of conveyor system is taken into account and a mathematical model that allows the analysis of the dynamic states of the proposed belt conveyor is presented. The novel conveyor system identified as the rail conveyor implements a cart based propagation technique abandoning the traditional idlers. The simulation model is conceived by adopting a finite number of elements consisting of springs, masses, and dampers for various forces existing in the belt and other structures of the rail conveyor. Each rheological model comprised of elements described later in this paper are formulated to characterize innate qualities such as viscoelastic behavior of the belt and resistance forces experienced by the carts in the rail conveyor system.
带式输送机被认为是现代世界中最常见的物料搬运系统,因为它们能够处理大量的散装物料。现代带式输送机广泛应用于从食品制造到发电等行业。虽然带式输送机已经存在了几个世纪,但其基本结构一直没有改变。本文考虑了一种新型的带式输送机系统,提出了一种能够分析带式输送机动态特性的数学模型。新型的轨道输送机系统抛弃了传统的托辊,实现了基于小车的传播技术。仿真模型是采用有限数量的弹簧、质量和阻尼器组成的单元来考虑存在于轨道输送机带和其他结构中的各种力。每一个流变模型组成的元素,在本文后面描述的是制定,以表征固有的品质,如粘弹性行为的皮带和阻力所经历的手推车在轨道输送系统。
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引用次数: 2
Leakage-resilient storage scheme for cryptographic applications 密码学应用的防泄漏存储方案
Janaka Alawatugoda, R. Ragel, D. Eranga, Nalaka Jayanath, Chinthaka Somathilaka
Since the side-channel attacks arise as a huge threat for cryptographic schemes than previously realized, it is necessary to implement proven-secure leakage-resilient cryptographic schemes and use them for real-world purposes. In this work our effort is to implement two leakage-resilient cryptographic schemes, a leakage-resilient storage scheme and a refreshing protocol, which have been proven-secure and accepted by the cryptographic community since 2011 (ASIACRYPT 2011). Our aim is to open up the direction for implementing the useful leakage-resilient cryptographic schemes for future usage.
由于侧信道攻击对加密方案的威胁比以前认识到的要大,因此有必要实现经过验证的安全防泄漏加密方案,并将其用于现实世界的目的。在这项工作中,我们的努力是实现两种防泄漏加密方案,一种防泄漏存储方案和一种刷新协议,这些方案自2011年以来已被密码学界证明是安全的并被接受(ASIACRYPT 2011)。我们的目标是为实现未来使用的有用的防泄漏加密方案开辟方向。
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引用次数: 0
Underwater ROV with Fuzzy Logic Motion Control 水下机器人模糊逻辑运动控制
N.D. Jayasundere, S. Gunawickrama
This paper describes the design and development of an Underwater Remotely Operated Vehicle (ROV) with Fuzzy Logic motion control for a shallow water environment i.e. up to 10m depth. The ROV was developed in two phases. In the first phase, the ROV was designed and developed with the associated electronics for motion and power control. The control electronics are mounted inside the ROV main body and communicated with via a tethered cable running from the surface which also carries the required power. The ROV also has a camera for obtaining video and a set of LED lights for illumination. The main controlling unit of the electronics is a Raspberry pi microcomputer which also operates the video. Test trials of the ROV underwater were conducted in a laboratory water tank to a depth of about 1.5 m. Very satisfactory operation was achieved. Some drawbacks and possible improvements were identified during these tests and these were addressed in the second phase with the introduction of Fuzzy Logic for motion control.
本文介绍了一种基于模糊逻辑运动控制的水下遥控机器人(ROV)的设计与开发,该机器人可用于10米深的浅水环境。ROV的开发分为两个阶段。在第一阶段,ROV的设计和开发与运动和动力控制相关的电子设备。控制电子设备安装在ROV主体内部,并通过从地面运行的系留电缆进行通信,该电缆也携带所需的电力。ROV还有一个用于获取视频的摄像机和一组用于照明的LED灯。电子设备的主要控制单元是一个树莓派微型计算机,它也可以操作视频。ROV的水下试验在实验室水箱中进行,水深约1.5米。手术效果非常满意。在这些测试中发现了一些缺点和可能的改进,并在第二阶段引入模糊逻辑进行运动控制。
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引用次数: 7
To use or not to use: CPUs' cache optimization techniques on GPGPUs 使用或不使用:cpu在gpgpu上的缓存优化技术
Vajira Lasantha Thambawita, R. Ragel, D. Elkaduwe
General Purpose Graphic Processing Unit(GPGPU) is used widely for achieving high performance or high throughput in parallel programming. This capability of GPGPUs is very famous in the new era and mostly used for scientific computing which requires more processing power than normal personal computers. Therefore, most of the programmers, researchers and industry use this new concept for their work. However, achieving high-performance or high-throughput using GPGPUs are not an easy task compared with conventional programming concepts in the CPU side. In this research, the CPUs cache memory optimization techniques have been adopted to the GPGPUs cache memory to identify rare performance improvement techniques compared to GPGPU's best practices. The cache optimization techniques of blocking, loop fusion, array merging and array transpose were tested on GPGPUs for finding suitability of these techniques. Finally, we identified that some of the CPU cache optimization techniques go well with the cache memory system of the GPGPU and shows performance improvements while some others show the opposite effect on the GPGPUs compared with the CPUs.
通用图形处理单元(GPGPU)在并行编程中被广泛用于实现高性能或高吞吐量。gpgpu的这种能力在新时代非常有名,主要用于需要比普通个人计算机更多处理能力的科学计算。因此,大多数程序员、研究人员和业界都在他们的工作中使用这个新概念。然而,与CPU方面的传统编程概念相比,使用gpgpu实现高性能或高吞吐量并非易事。本研究将cpu的缓存优化技术应用到GPGPU的缓存中,并与GPGPU的最佳实践相比较,找出罕见的性能提升技术。在gpgpu上对阻塞、环路融合、阵列合并和阵列转置等缓存优化技术进行了测试,以确定这些技术的适用性。最后,我们发现一些CPU缓存优化技术可以很好地与GPGPU的缓存系统配合使用,并显示出性能改进,而另一些则显示出GPGPU与CPU相反的效果。
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引用次数: 0
期刊
2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)
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