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2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )最新文献

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Detection and Localization for Buried and Alive Human Body After Mudslides Using Pulse Sensor and Force Sensing Resistor with XBee Technology and Global Positioning System to Support Rescue Operations 基于XBee技术的脉冲传感器、力敏电阻与全球定位系统的泥石流后埋活人体检测与定位
Jessie R. Balbin, Ramon G. Garcia, Flordeliza L. Valiente, Yumiko C. Hirota, Gweneivere B. Lasay, Shaira Marie M. Lingad, Ma. Isabelle C. Villafranca
Because the Philippines lies along the Pacific Ring of Fire, it is prone to disasters such as earthquake, landslide, or mudslide. As a matter of fact, 80% of the country’s total land area is vulnerable to such disasters. Due to this, the researchers thought of a way to help in search and rescue operations specifically with mudslide victims. The proposed system includes the use of pulse sensor to determine whether the person is alive or not, force-sensing resistors to determine if he/she is buried or above ground, Global Positioning System to determine his/her latest approximate location, and XBee Technology to send all collected data from the victim to the rescuers. The pulse sensor displays the pulse rate of the person in beats per minute so the rescuers may be able to monitor it. The last recorded pulse rate is shown along with the time it is recorded. There are four force-sensing resistors, two of which are placed in front and two at the back. These FSRs determine whether the person is buried when at least two of them have readings of more than 5 grams and that there are readings in both front and back. The working radius of the system is up to 305 feet, depending on how deep the vest was buried. A GPS Module sends the approximate location of the vest. The rescuers are also provided with an option to locate the coordinates in Google Earth, provided that there is an Internet Connection. In case the GPS cannot send signal anymore, e.g. there is a debris that blocks the GPS signal, the last known location will be recorded as well as the time it is sent. These equipment are placed inside a waterproof and rechargeable vest. The rescuers are also provided with a MATLAB graphical user interface.
由于菲律宾位于环太平洋火山带,因此容易发生地震、山体滑坡或泥石流等灾害。事实上,全国80%的土地面积都容易受到这类灾害的影响。因此,研究人员想到了一种方法来帮助搜救行动,特别是泥石流受害者。提出的系统包括使用脉冲传感器来确定人是否活着,力感电阻来确定他/她是埋在地下还是在地面上,全球定位系统来确定他/她的最新大致位置,XBee技术将所有从受害者收集的数据发送给救援人员。脉搏传感器可以显示伤者每分钟的脉搏率,这样救援人员就可以对其进行监测。最后一次记录的脉搏率连同记录的时间一起显示。有四个力感电阻,其中两个放在前面,两个放在后面。当至少有两颗fsr的读数超过5克,并且前后都有读数时,这些fsr就会决定这个人是否被埋葬。该系统的工作半径可达305英尺,具体取决于背心的埋深。GPS模块会发送背心的大致位置。救援人员还可以选择在b谷歌地球上定位坐标,前提是有互联网连接。如果GPS无法再发送信号,例如有碎片阻挡了GPS信号,则会记录最后一次已知的位置以及发送信号的时间。这些设备被放置在防水和可充电的背心内。救援程序还提供了MATLAB图形用户界面。
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引用次数: 0
Suitability of IoT to Blockchain Network based on Consensus Algorithm 基于共识算法的物联网对区块链网络的适用性研究
Maria Rona L. Perez, A. Lagman, J. B. Legaspi, Roman M. De Angel, Kirk Alvin S. Awat
The Internet of Things (IoT) and Blockchain are increasingly growing focus on research. Blockchain is like the Internet when we first knew of it. This new technology could revolutionize how we do everything. Seriously, everything. Think how the Internet changed our daily lives today. And just like that, we don’t really have to understand the technology behind it and be knowledge of its importance. But what makes this innovation revolution a bigger deal than Bitcoin and possibly even the Internet itself, are the exponential opportunities the concept provides. However, the potential to integrated Blockchain to Internet of Things (IoT) has constraint due to the required high computational power. IoT comprises of numerous platforms which have limited performance. Usually, these platforms cannot handle intensive procedures and often has scalability issues. In this paper, we give an overview of consensus algorithms and the necessity of this method to blockchain technology. Moreover, we focused on three of the utmost common consensus algorithms used in blockchain technology and explore their potential adaptation in an IoT framework with respect to its requirements.
物联网(IoT)和区块链的研究越来越受到关注。区块链就像我们最初知道的互联网。这项新技术可能会彻底改变我们做事的方式。说真的,一切。想想互联网如何改变了我们今天的日常生活。就像这样,我们不需要真正理解背后的技术,也不需要知道它的重要性。但是,让这场创新革命比比特币甚至互联网本身更重要的是,这个概念提供了指数级的机会。然而,由于需要高计算能力,将区块链集成到物联网(IoT)的潜力受到限制。物联网由众多性能有限的平台组成。通常,这些平台不能处理密集的过程,并且经常存在可伸缩性问题。在本文中,我们概述了共识算法以及该方法对区块链技术的必要性。此外,我们重点研究了区块链技术中使用的三种最常见的共识算法,并探讨了它们在物联网框架中根据其要求的潜在适应性。
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引用次数: 2
Identification of Crystals Present in a Urine Sediment based on Adaptive Boosting Algorithm 基于自适应增强算法的尿液沉积物晶体识别
Carlos C. Hortinela, Jessie R. Balbin, Janette C. Fausto, Kristoffer K. Viray
Urinalysis is one of the most common examination being done to check the components present in the urine. A microscopic exam is needed to detect certain components present in urine such as Red blood cells, White blood cells, and crystals. Certain diseases can be seen in the urine through the form of urine crystals. The objective of the study is to detect the urine crystal present in the patient’s urine by image processing after undergoing centrifugation of the urine sample. A microscope was used with a Raspberry Pi 2 mounted on it and a Raspberry Pi camera placed on the eyepiece of the microscope to capture the image of the urine sediment. The process used the application of Harr feature. Adaptive Boosting was used before sending the data to the support vector machine. This study is limited in detecting the urine crystal provided by the medical laboratories in the country. The study will be important in the health sector specifically in detecting urinary tract abnormalities by classifying the type of crystal present in the urine. 30 sample urine images were done by the researchers. The testing gathered an accuracy of 90% when compared to the traditional urinalysis.
尿液分析是一种最常见的检查,用于检查尿液中存在的成分。需要显微镜检查来检测尿液中存在的某些成分,如红细胞、白细胞和晶体。某些疾病可以通过尿晶体的形式在尿液中发现。本研究的目的是在对尿样进行离心处理后,通过图像处理来检测患者尿液中存在的尿晶体。在显微镜上安装了树莓派2,在显微镜目镜上放置了树莓派相机来捕捉尿液沉积物的图像。过程中使用了Harr特征的应用。在将数据发送给支持向量机之前使用自适应增强。本研究仅限于国内医学实验室提供的尿晶检测。这项研究将在卫生部门具有重要意义,特别是通过对尿液中存在的晶体类型进行分类来检测尿路异常。研究人员制作了30张尿样图像。与传统的尿液分析相比,该测试的准确率为90%。
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引用次数: 5
PULSE: A Pulsar Searching Model with Genetic Algorithm Implementation for Best Pipeline Selection and Hyperparameters Optimization PULSE:一种基于遗传算法的脉冲星搜索模型,用于最佳管道选择和超参数优化
R. C. Salvador, E. Dadios, Irister M. Javel, Antipas T. Teologo
Pulsars enabled astronomers to study neutron stars and verify general relativity under intense gravitational field conditions. However, finding pulsars is not as easy as it seems because most of them have weak pulses that get drowned in the background noise and hence do not get detected. This paper presents a novel way of classifying radio emission patterns collected from a radio telescope whether it is from a pulsar or not through machine learning and genetic algorithm. The dataset was acquired from the High Time Resolution Universe (HTRU) survey two which contains eight numerical features and one target variable describing the pulse profile. Synthetic Minority Oversampling Technique (SMOTE) was applied to the dataset to fix the imbalance between classes. A genetic algorithm library was used to automatically select the best feature preprocessing method, feature selection/reduction technique, machine learning model inside the scikit-learn library, and hyperparameter settings. The genetic algorithm suggested using a single stack and multiple stack classifiers for different sets of features. The optimum level of hyperparameters was also given with the help of the same algorithm. The selected pipelines consistently reported a score of more than 99% in all the evaluation metrics used.
脉冲星使天文学家能够在强引力场条件下研究中子星并验证广义相对论。然而,寻找脉冲星并不像看起来那么容易,因为它们中的大多数都有微弱的脉冲,被淹没在背景噪声中,因此无法被探测到。本文提出了一种通过机器学习和遗传算法对射电望远镜收集的射电发射模式进行分类的新方法,无论它是否来自脉冲星。该数据集来自高时间分辨率宇宙(HTRU)调查2,其中包含8个数值特征和一个描述脉冲剖面的目标变量。采用合成少数派过采样技术(SMOTE)对数据集进行处理,解决了类间的不平衡问题。利用遗传算法库自动选择最佳特征预处理方法、特征选择/约简技术、scikit-learn库中的机器学习模型以及超参数设置。遗传算法建议对不同的特征集使用单堆栈和多堆栈分类器。利用同样的算法,给出了超参数的最优水平。在所使用的所有评估指标中,所选择的管道报告的得分始终超过99%。
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引用次数: 2
Design, Fabrication, and Testing of a Fully Automated Harvesting Machine for Lab-lab (Periphyton Algal Mat) 全自动化实验室-实验室(水藻垫)采收机的设计、制造与测试
Miguel Joaquin R. Delos Reyes, Luigi R. Salgado, May R. Sybal, Niño Rigo Emil G. Lim, G. Augusto, A. Ubando, A. Culaba
Lab-Lab is a benthic algal complex of periphyton organisms. Its diverse composition allows it to float and suspend in clumps on the surface of its culture source – such as ponds with brackish water. However, it possesses a delicate structure wherein if introduced with even the slightest disruption it disperses back into individual microbial particles and loses surface tension in the process. Manually harvesting this type of algae poses many drawbacks and loses. In this study, an automated harvester is utilized to collect the algal mat since there is minimal disruptions developed by the machine. The biomass is drawn into the harvester due to the centrifugal pump, which is then collected through scoopers with a filter mesh. The gathered biomass is transported to the discharge side, ready to be processed for drying.
Lab-Lab是一种底栖藻类复合体。它的多种成分使它能够漂浮和悬停在其培养源的表面上,比如含有微咸水的池塘。然而,它具有一种微妙的结构,即使是最轻微的破坏,它也会分散回单个微生物颗粒中,并在此过程中失去表面张力。人工采集这种藻类有很多缺点和损失。在本研究中,利用自动收割机收集藻垫,因为机器开发的干扰最小。由于离心泵,生物质被吸入收割机,然后通过带有滤网的铲子收集。收集的生物质被运送到排出侧,准备进行干燥处理。
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引用次数: 0
Sum of Absolute Difference-based Rate-Distortion Optimization Cost Function for H.265/HEVC Intra-Mode Prediction 基于绝对差分的H.265/HEVC模式内预测率失真优化代价函数和
Naomi Z. Alariao, Kimberly P. Caguia, Patricia Anne J. Olaguer, Giljohn Andrew V. Sison, Jian Mae C. Valenton, Kanny Krizzy D. Serrano, Angelo R. dela Cruz
The emerging standard of High Efficiency Video Coding (HEVC) provides a 50% improved compression performance compared to its predecessor H.264/AVC at the expense of increasing its computational complexity which is due to a large number of modes involved in the decision process where it would increase encoding time and provide hardware limitations. In this paper, the reduction of intra-coding complexity is proposed by utilization of Rate-Distortion Optimization (RDO) in preselecting a mode with the best RD cost, among all 35 intra-modes. Two cost functions – Sum of Absolute Difference (SAD) and Sum of Absolute Transform Difference (SATD, available in the HEVC Test Model (HM) Reference Software, are determined by making encoder decisions. This paper compares the performance and complexity cost of SAD only for intra-mode, with SATD-based intra-mode by modifying the HM reference encoder through forced selection of the mentioned modes. Results show that SAD consistently produces the least encoding time among all modes, along with sensible values of bitrate. Furthermore, error concealment was introduced in decoding the video sequences with the use of IEEE 802.22 Standard which only allowed power gains resulting to packet error rates (PER) ranging from 1% to 30% for the analysis on the behavior of each video sequence in an environment where error is introduced.
与之前的H.264/AVC相比,新兴的高效视频编码(HEVC)标准提供了50%的压缩性能提升,但代价是增加了计算复杂度,这是由于决策过程中涉及大量模式,这会增加编码时间并提供硬件限制。本文提出了利用率失真优化(Rate-Distortion Optimization, RDO)在35种内模中预选RD成本最佳的模式来降低编码复杂度的方法。HEVC测试模型(HM)参考软件中提供的两个成本函数——绝对差和(SAD)和绝对变换差和(SATD),是通过编码器决策来确定的。本文比较了仅用于内模的SAD与通过强制选择上述模式修改HM参考编码器的基于sata的内模的性能和复杂性成本。结果表明,在所有模式中,SAD的编码时间最短,且比特率值合理。此外,在使用IEEE 802.22标准解码视频序列时引入了错误隐藏,该标准仅允许功率增益导致包错误率(PER)范围从1%到30%,用于分析每个视频序列在引入错误的环境中的行为。
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引用次数: 0
Fine Tuning of the RF Amplifier’s Output Attenuator Value and ATE’s Receiver Reference Level for Precise Measurement of Output Third Intercept Point 精确测量输出第三截点的射频放大器输出衰减器值和ATE接收机参考电平的微调
Kier Marquez, A. Ballado
the fine-tuning of the RF amplifier’s output attenuator value and Automatic Test Equipment’s (ATE) receiver reference level for precise measurement of output third intercept point is presented. Several designed experiments were done to choose the best output attenuator and reference level. The spurious-free dynamic range parameter was used to characterize the said parameters. Then, to test the reliability of the concluded settings, the set-up was put into an actual manufacturing set-up. Also, an output power sweep was done to verify that the measured value is far from the compression and noise floor region. With these experiments and testing, the OIP3 measured in the ATE was observed to be far from the noise floor which indicates the measurement was not affected by the ATE’s OIP3. Also, it garnered a percentage error of 1.1377% with respect to the bench-top set-up. This percentage value means that the measured value is very near to the bench-top set-up value. Thus, it is proven that when the output attenuator and reference are fine tuned into a test set up, the resulting OIP3 value is accurate.
为了精确测量输出第三截距点,提出了射频放大器输出衰减值和自动测试设备(ATE)接收机参考电平的微调方法。为了选择最佳的输出衰减器和参考电平,进行了多次设计实验。采用无杂散动态范围参数对所述参数进行表征。然后,为了检验结论设置的可靠性,将该设置放入实际的制造设置中。此外,还进行了输出功率扫描,以验证测量值远离压缩和噪声底区。通过这些实验和测试,观察到在ATE中测量的OIP3远离本底噪声,这表明测量不受ATE的OIP3的影响。此外,相对于台式设置,它获得了1.1377%的百分比误差。这个百分比值意味着测量值非常接近工作台设置值。因此,当输出衰减器和参考被微调到一个测试设置时,得到的OIP3值是准确的。
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引用次数: 0
Investigation of the Drying Characteristics of Seaweed using Offshore Dryer 近海干燥机对海藻干燥特性的研究
A. Mayol, Alessandro Lorenzo Cruz, A. Calapatia, Janco Antonio Pancho, Nathaniel Peckson, L. Sánchez, Patrick Villoria, A. Culaba
The seaweed industry in the Philippines lack technological means in ensuring consistent rate and quality of producing dry Seaweeds. The current techniques used such as open sun drying and hang drying takes approximately three days to reduce moisture content to 40%. These techniques are subject to Seaweed quality reduction due to uncontrollable weather conditions. These issues are addressed by the successful design, fabrication, and testing of an Offshore Seaweed Dryer. The dryer makes use of radiation, convection heat transfer, air flow, and dehumidification in a closed chamber equipped with active elements. It achieves flotation through a constructed raft. The team conducted four runs to reduce moisture content of wet seaweeds with varying weights at varying conditions. An average of 44.98% moisture content yield was achieved using the dryer throughout a span of 24 hours.
菲律宾的海藻业缺乏技术手段来确保生产干海藻的一致速度和质量。目前使用的技术,如露天晒干和悬挂干燥,大约需要三天时间才能将水分含量降低到40%。由于无法控制的天气条件,这些技术受到海藻质量下降的影响。这些问题都是通过成功的设计、制造和测试近海海藻干燥机来解决的。干燥机利用辐射、对流传热、空气流动和除湿,在一个装有主动元件的封闭腔室中进行。它通过建造的木筏实现漂浮。研究小组进行了四次试验,以减少在不同条件下不同重量的湿海藻的水分含量。在整个24小时内,平均含水率达到44.98%。
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引用次数: 1
Voltage Characterization of Magnesium-doped Zinc Oxide by Electrodeposition Method for Solar Photovoltaic (PV) Cells 用电沉积法表征掺镁氧化锌在太阳能光伏电池中的电压
A. Alcázar, M. Fernan, K.G. Ngo, A. Santos, E. Chua, M. Pacis
The research paper adapted the study of Rajpal and Kumar (2016). The Magnesium (Mg)-doped Zinc Oxide (ZnO) was prepared using the electrodeposition method. The samples obtained from the experiment were then collated to observe the photoconductivity value and the percentage of Voltage Regulation of the plates. Three (3) different tilt angle orientation were utilized in gathering the data of the Voltage Regulation percentage (%VR) and photoconductivity. The photoconductivity value acquired from the undoped plate is 0.7083 while, for the doped plates are 0.8438V, 0.6897V and 0.7204V. On the other hand, the %VR acquired for 0⁰, 13⁰ and 20° were 1.283%, 5.820% and 3.456%, respectively. Moreover, the percent Battery Charge collated from the experiment are 0.39%, -1.20% and 1.11%, respectively. Further, the experiments showed that sun exposure and temperature have a significant impact on the electrical conductivity and output of the cells.
该研究论文改编了Rajpal和Kumar(2016)的研究。采用电沉积法制备了镁掺杂氧化锌(ZnO)。然后对实验得到的样品进行整理,观察光导值和板的电压调节百分比。利用三种不同的倾斜角度采集了电压调节百分比(%VR)和光电导率的数据。未掺杂的光导率为0.7083,掺杂的光导率分别为0.8438V、0.6897V和0.7204V。另一方面,0⁰、13⁰和20°获得的%VR分别为1.283%、5.820%和3.456%。实验整理出的Battery Charge百分比分别为0.39%、-1.20%和1.11%。此外,实验表明,阳光照射和温度对电池的电导率和输出有显著影响。
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引用次数: 1
A Soft Robotic Tentacle Robot Arm for Inspection Sytem on Manufacturing Lines 用于生产线检测系统的柔性机器人触手机械臂
Tristan Joseph C. Limchesing, Rhen Anjerome Bedruz, A. Bandala, N. Bugtai, E. Dadios
With the emerging sector of new industrial age is afoot, innovations are made every day in order to cope with new technologies. Maintenance and regular repairs are key roles in keeping the industry as efficient as possible. With maintenance, safety is paramount in order to prevent accidents and further delays in production. In order to tackle issues for inspecting hazardous and tight spaces, this study utilizes soft robotics technology in aiming to achieve an efficient and cost-effective means to safely inspect tight and hazardous spaces. Soft Robotics is a field in robotics that specializes in materials that are flexible and elastic. Their movements mimic movements that are often found in nature. The soft robotic arm that will be accomplished in this study is a soft robotic tentacle arm with a mounted camera for inspection. This is especially good in reaching places that have limited spaces. The soft robotic arm will be actuated pneumatically and will have an electronic pneumatic microcontroller for its activation. A minicamera will also be mounted on the tip of the robotic arm for the inspection system. With the results and data gathered, it shows that this system can effectively maneuver using its electronic pneumatic controllers. The soft robot arm is also stable enough for the mini camera to be mounted on.
随着新工业时代新兴行业的兴起,为了应对新技术,每天都在进行创新。维护和定期维修是保持行业尽可能高效的关键作用。在维护方面,为了防止事故和进一步延迟生产,安全是至关重要的。为了解决危险和危险空间的检查问题,本研究利用软机器人技术,旨在实现一种高效和经济的方法来安全检查狭窄和危险空间。软机器人是机器人技术的一个领域,专门研究柔性和弹性材料。它们的动作模仿了自然界中常见的动作。本研究将完成的软机械臂是一个安装了用于检测的相机的软机械触手臂。这在到达空间有限的地方尤其有效。软机械臂将被气动驱动,并将有一个电子气动微控制器来激活它。一个微型摄像机也将被安装在机器人手臂的尖端,用于检测系统。实验结果和数据表明,该系统利用电子气动控制器可以有效地进行机动。柔软的机器人手臂也足够稳定,可以安装微型摄像机。
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引用次数: 0
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2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )
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