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Poster: A Real-time Cattle Recognition System using Wireless Multimedia Networks 海报:利用无线多媒体网络的实时牛群识别系统
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948871
Santosh Kumar, S. Singh, Tanima Dutta, Hari Prabhat Gupta
In this paper, we propose a cattle recognition system using wireless multimedia networks. The images are captured and transferred them to the server using Wi-Fi technology. The system performs image pre-processing on the muzzle point image of cattle to mitigate and filter the noise. The system uses support vector machine to classify the extracted feature of the muzzle images of cattle. We use a similarity score measurement for matching the muzzle points with the database. We also developed a prototype for evaluating the accuracy of the system.
本文提出了一种基于无线多媒体网络的牛类识别系统。图像被捕获并通过Wi-Fi技术传输到服务器。该系统对牛的枪口点图像进行预处理,减轻和过滤噪声。该系统利用支持向量机对提取的牛口鼻图像特征进行分类。我们使用相似度测量来匹配枪口点与数据库。我们还开发了一个原型来评估系统的准确性。
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引用次数: 12
Poster: Mobile based Image processing for quick paper marking and audio quiz to engage large class size in developing countries 海报:基于移动的图像处理,用于快速阅卷和音频测验,以吸引发展中国家的大班学生
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948810
M. Iqbal
This research was conducted to support the teachers in managing the classroom progress and increasing student engagement in the classroom. We have implemented a low cost solution with image processing through smart phone application for quiz and paper marking; providing feedback to the teacher about individual student and group performance.
本研究旨在协助教师管理课堂进度,提高学生在课堂上的参与度。我们通过智能手机应用程序实现了一种低成本的图像处理解决方案,用于测试和阅卷;向老师提供关于学生个人和小组表现的反馈。
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引用次数: 0
Demo: A SDR-Based Indoor Localization System for Mobile Devices 演示:基于sdr的移动设备室内定位系统
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2938566
Roberto Carvalho, Hung-Yu Lee, Sachit Mahajan, Ling-Jyh Chen
We present a SDR-based indoor localization system for mobile devices that relies on fingerprint approaches of ambient FM and DVB-T signals. Unlike conventional indoor localization systems [1][2], our system can 1) perform data normalization, allowing cross platforms and antennas for localization while maintaining under 0.5 meters error; 2) be used with commercial off-the-shelf (COTS) mobile devices and SDR antennas, making the system more practical and useful in real scenarios; and 3) have the potential of making use of other signals as long their frequencies are within the range detected by SDR.
我们提出了一种基于sdr的移动设备室内定位系统,该系统依赖于环境调频和DVB-T信号的指纹方法。与传统的室内定位系统[1][2]不同,我们的系统可以1)执行数据归一化,允许跨平台和天线进行定位,同时保持0.5米以下的误差;2)与商用现货(COTS)移动设备和SDR天线配合使用,使系统在实际场景中更具实用性和实用性;3)只要频率在SDR检测范围内,就有利用其他信号的潜力。
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引用次数: 0
POSTER: Generic Drone Control Platform for Autonomous Capture of Cinema Scenes Submission 海报:用于自动捕获电影场景提交的通用无人机控制平台
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2953925
J. Fleureau, Quentin Galvane, François-Louis Tariolle, P. Guillotel
With the development of robotics and aeronautics, drones also known as Unmanned Aerial Vehicles (UAV) are more and more integrated and easy to control, especially in non- military context. The civil market related to this field is currently experiencing a continuous growth that highlights its potential. Many applications now make use of such devices for various purposes such as surveillance, communication, video recording or even gaming. One particular domain of application has triggered our interest: with their tradition of using state-of-the-art technology for their production, the cinema industry recently started to exploit the many possibilities offered by these modern flying vehicles. Movie companies have been using drones as a new tool to produce more and more complex and aesthetic camera shots. However, the shooting process currently rely on manual control of the drones which makes it difficult and sometimes inconvenient to work with. Having a solution to autonomously pilot the drone so that it may follow a predefined (or computed in real-time) trajectory is thus definitively useful in such situations.
随着机器人技术和航空技术的发展,无人机也被称为无人飞行器(UAV),其集成化和易于控制的特点越来越突出,尤其是在非军事领域。与该领域相关的民用市场目前正在经历持续增长,凸显了其潜力。现在,许多应用程序都将这种设备用于各种目的,如监视、通信、视频录制甚至游戏。一个特定的应用领域引发了我们的兴趣:凭借他们使用最先进技术的生产传统,电影业最近开始利用这些现代飞行器提供的许多可能性。电影公司一直在使用无人机作为一种新工具来制作越来越复杂和美观的镜头。然而,目前的拍摄过程依赖于无人机的手动控制,这使得它很难,有时不方便的工作。拥有自主驾驶无人机的解决方案,使其可以遵循预定义的(或实时计算的)轨迹,因此在这种情况下绝对有用。
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引用次数: 1
Poster: Two-Steps Independent Solution for Rule-based CEP 海报:基于规则的CEP的两步独立解决方案
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948833
Sunyanan Choochotkaew, H. Yamaguchi, T. Higashino
Most of the existing Rule-based Complex Event Process- ing(CEP) engines process all rules in a single set which might activate irrelevant copies of partial detected events every time new data comes. Against this issue, this paper analyzes the processing time of using one single set of rules and using two-steps matching where one complex rule is partitioned and processed by two modules independently.
大多数现有的基于规则的复杂事件处理(CEP)引擎在一个单独的集合中处理所有规则,这可能会在每次新数据到来时激活部分检测到的事件的不相关副本。针对这一问题,本文分析了使用单一规则集和使用两步匹配的处理时间,其中一条复杂规则由两个模块独立划分和处理。
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引用次数: 0
Poster: Spatio-Temporal Information Correction Mechanism for Wild Animal Wearable Sensors 海报:野生动物可穿戴传感器时空信息校正机制
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948794
Yuya Kamma, K. Sezaki, H. Kobayashi
This paper presents a Spatio-Temporal Information Correction Mechanism for Wild Animal Wearable Sensors. It is difficult to acquire the positioning information with GPS sensors in forests region. Furthermore, electric power sources and mobile communication infrastructures are often limited, because the provision of such resources is expensive in the wild (e.g., near the ground surface of the forest) and tend to be in areas with limited number of users. In this research, we propose a method, which does not depend on the sensor and a mobile communication, for correcting the acquisition of the time and location information.
提出了一种用于野生动物可穿戴传感器的时空信息校正机制。在森林地区,利用GPS传感器获取定位信息比较困难。此外,电力来源和移动通信基础设施往往是有限的,因为在野外(例如,在森林地表附近)提供这种资源是昂贵的,而且往往是在用户数量有限的地区。在本研究中,我们提出了一种不依赖于传感器和移动通信的方法来校正时间和位置信息的获取。
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引用次数: 2
Poster: A Comparison Study of Wi-Fi Direct and Dedicated Short Range Communication for Intelligent Transport Services 海报:面向智能交通服务的Wi-Fi直连与专用短距离通信的比较研究
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948804
A. Balasundram
Vehicular ad-hoc networks (VANETs) play a vital role in enabling Intelligent Transport Services (ITS). The well known Dedicated short range communication (DSRC) requires dedicated hardware installation, which slows down the penetration of ITS. This study analyzes the capability of using Wi-Fi Direct (WD) as an alternative technology for ITS applications. To this end, A simulation study is carried out to compare the performance of WD with DSRC. Network simulator NS3 is used along with the traffic simulator named SUMO for the study. Initial results that indicate the potential of WD are presented with future extensions and goals.
车辆自组织网络(VANETs)在实现智能交通服务(ITS)方面发挥着至关重要的作用。众所周知,专用短程通信(DSRC)需要安装专用硬件,这减慢了ITS的渗透速度。本研究分析了使用Wi-Fi Direct (WD)作为ITS应用替代技术的能力。为此,进行了仿真研究,比较了WD和DSRC的性能。网络模拟器NS3与名为SUMO的流量模拟器一起用于研究。初步结果表明了WD的潜力,并提出了未来的扩展和目标。
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引用次数: 3
Poster: Network Model of Scalable Remote Healthcare Systems 海报:可扩展远程医疗系统的网络模型
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948806
R. Pandey, R. Mishra
Smart Phones are packed up with applications in the domain of healthcare, social networking etc and require substantial network data connectivity for operations. Network services are primarily affected by the quality of radio signals and congestion in the cell. NeSen [1][2] is a tool incorporated at the Mobile Terminal (MT) end to measure the network characteristics corresponding to link quality and stability of cellular networks. NeSen is capable of assessing both static and dynamic Network parameters of operators of all interfaces. The network parameters captured with NeSen are signal strength, radio type, Cell Location Id (CID), Location Area Code (LAC), operator name, Bit Error Rate (BER) etc. along with date and time. The values of these parameters are logged at the file systems of the MT in real time. The worth mentioning observations from the trials is "Except for single day cell dwell time is less the 10 min and often around 01 minute. Network cell transitions are observed even in milliseconds. Vertical handoffs in sufficient number are recorded". Aforementioned observation manifest that a phone gets serviced from multiple Base Stations (BS) within a space of time. This draws the attention towards the transiting behavior of Base Station.
智能手机包含了医疗保健、社交网络等领域的应用程序,并且需要大量的网络数据连接才能进行操作。网络服务主要受无线信号质量和小区内拥塞的影响。NeSen[1][2]是一种集成在移动终端(Mobile Terminal, MT)端的工具,用于测量蜂窝网络的链路质量和稳定性所对应的网络特性。NeSen能够评估所有接口的运营商的静态和动态网络参数。用NeSen捕获的网络参数包括信号强度、无线电类型、小区位置Id (CID)、位置区号(LAC)、运营商名称、误码率(BER)等,以及日期和时间。这些参数的值会实时记录在MT的文件系统中。值得一提的是,从试验中观察到的是“除了一天的细胞停留时间少于10分钟,通常在01分钟左右。甚至可以在毫秒内观察到网络单元的转换。记录足够数量的垂直交接”。上述观察表明,一部手机在一段时间内从多个基站(BS)获得服务。这引起了人们对基站过境行为的关注。
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引用次数: 0
Poster: Core Temperature Estimation During Exercise Using Wearable Sensors 海报:使用可穿戴传感器估算运动过程中的核心温度
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948786
Takashi Hamatani, A. Uchiyama, T. Higashino
Core temperature is important to evaluate the effect of heat environment and/or exercise on human body. Human body usually emits its heat by thermal regulation function such as sweating and increasing of skin blood flow. However, failure of the system occurs among people who are not accustomed to hot environment. This makes core temperature extremely high, leading to dehydration, anemia and serious damage to organs. Core temperature is generally measured as rectal or tympanic temperature, although their measurement is difficult due to its invasiveness. In this work, we propose a novel method to estimate core temperature based on Gagge’s two-node model [1] and a parameter calibration method which is suitable for exercise. Compared to our previous works [2, 3], advantages of this work are the followings. (1) We propose a method to estimate core temperature in complex exercise with breaks, which is out-of-scope in the previous works. (2) We improve the parameter-calibration method to suit actual exercise. We measure core temperature after warm-up for calibration. (3) We modify some equations in the model to suit real environment. Solar radiation, wind, drinking water and thermal delay are integrated into the original model.
核心温度是评价热环境和/或运动对人体影响的重要指标。人体通常通过出汗、皮肤血流量增加等热调节功能释放热量。然而,在不适应高温环境的人群中,系统会出现故障。这使得核心温度极高,导致脱水、贫血和对器官的严重损害。核心温度通常测量为直肠或鼓室温度,但由于其侵入性,测量困难。在这项工作中,我们提出了一种基于Gagge的双节点模型[1]和一种适用于运动的参数校准方法的估算核心温度的新方法。与我们之前的工作[2,3]相比,本工作的优势在于:(1)我们提出了一种估算有间歇的复杂运动中核心温度的方法,这在以往的工作中是不适用的。(2)对参数标定方法进行了改进,以适应实际运动。我们在热身后测量核心温度以进行校准。(3)对模型中的一些方程进行了修正,使其符合实际环境。太阳辐射、风、饮用水和热延迟被整合到原始模型中。
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引用次数: 1
Poster: The Future to Personalize Medicine Is in Your Smart-device 海报:个性化医疗的未来就在你的智能设备里
Pub Date : 2016-06-25 DOI: 10.1145/2938559.2948872
Sabyasachi Mohanty, Murari Toshniwal, Tanima Dutta, Hari Prabhat Gupta
Most medicine taker may not aware of the details of a drug's brand name and manufacturer, indications, dosage, interactions, and side effects of the medicine. In order to avoid over-prescriptions, to prevent medicinal misuse and side effects of medicine, it is necessary for medicine takers to be provided with the detailed information about the medicine. This can be achieved by personalizing the medicines using smart-devices. In this work, we proposed a personalized medicine system to provide the information about a medicine through automatic text recognition from the imprints of the medicine and transmission using smart-devices. The system is fast enough to display the associated information of the medicine in real-time.
大多数服药者可能不知道药物的品牌名称和制造商、适应症、剂量、相互作用和药物副作用的细节。为避免过量用药,防止药物滥用和药物副作用,有必要向服药者提供药物的详细信息。这可以通过使用智能设备个性化药物来实现。在这项工作中,我们提出了一种个性化的医疗系统,通过药物印记的自动文本识别和使用智能设备传输来提供药物信息。系统速度快,可以实时显示药物的相关信息。
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引用次数: 0
期刊
MobiSys '16 Companion
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