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2015 International Electronics Symposium (IES)最新文献

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Mobile monitoring of muscular strain sensor based on Wireless Body Area Network 基于无线体域网络的肌肉应变传感器移动监测
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380856
M. A. Al Rasyid, D. Prasetyo, Isbat Uzzin Nadhori, A. H. Alasiry
The use of the muscle strain sensor, Electromyogram (EMG), is still very limited in Electromyograph device so that the results can only be monitored through these devices. Other solutions are necessary so that the signal generated by the EMG sensor can be sent to the device or network that can extend the signal from the EMG sensor area. That is what underlies the author making a research on the implementation and monitoring of EMG sensors in a Wireless Body Area Network (WBAN). In the present study, the use of EMG can be expanded by utilizing WBAN that can transmit information through the network, so that the results of the EMG sensor can be determined and analyzed by a physician or an expert despite the distance apart with patients. Implementation and monitoring of the EMG sensors in making use of a Wireless Body Area Network, is very helpful for patients through applications that can be accessed by mobile devices. The different types of devices are not an obstacle to the application can run on a variety of devices with different screen sizes and specifications.
肌张力传感器肌电图(Electromyogram, EMG)的使用在肌电图设备中仍然非常有限,因此只能通过这些设备来监测结果。其他解决方案是必要的,这样由肌电传感器产生的信号可以发送到设备或网络,可以从肌电传感器区域扩展信号。因此,本文对无线体域网络(WBAN)中肌电传感器的实现与监测进行了研究。在本研究中,可以利用无线宽带网络(WBAN),通过网络传输信息,扩大肌电图的使用范围,使医生或专家即使与患者相距遥远,也可以确定和分析肌电传感器的结果。利用无线体域网络实现和监测肌电传感器,通过可通过移动设备访问的应用程序对患者非常有帮助。不同类型的设备并不是应用程序可以在不同屏幕尺寸和规格的各种设备上运行的障碍。
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引用次数: 11
Measuring level of difficulty in game using challenging rate (CR) on 2D Real time Strategy Line Defense game 用挑战率(CR)衡量2D实时战略防线游戏的游戏难度
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380844
Christyowidiasmoro, Ramadhany Candra Arif Putra, Supeno Mardi Susiki
Real-time Strategy (RTS) games is a game with competitive environment, that can be played by player versus player or non-player character (NPC). Many researcher create intelligent artificial intelligence (AI) to give challenge to the player. But to check if the AI is in the good level of difficulty, some approach needed to calculate the value of difficulty. Challenging rate (CR) formula is a formula that using basic element in RTS games as it's parameter. In this paper a prototype games with proposed level of difficulty was made to try the ability of CR formula to measure value of difficulty. The result is level of difficulty that is proposed can be measured using the CR formula and is on the right state. With CR formula, the comparison for each level of ability can be used to create more level of difficulty, and give data if the level of difficulty is balance enough or not.
即时战略(RTS)游戏是一种具有竞争环境的游戏,可以由玩家对抗玩家或非玩家角色(NPC)来玩。许多研究者创造了智能人工智能(AI)来给玩家带来挑战。但是为了检查AI是否处于合适的难度水平,我们需要使用一些方法去计算难度值。挑战率(CR)公式是使用RTS游戏中的基本元素作为参数的公式。本文制作了一个具有拟制难度等级的原型游戏,尝试用CR公式衡量难度值的能力。结果表明,所提出的难度等级可以使用CR公式来衡量,并且处于正确的状态。利用CR公式,每个能力等级的比较可以用来创造更多难度等级,并给出难度等级是否足够平衡的数据。
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引用次数: 2
Trajectory tracking for AUV with constant velocity 恒速水下航行器的轨迹跟踪
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380819
N. Syahroni, H. Wahyuningrat, Hengar Budiman, J. Choi
Trajectory tracking is defined as getting from point A to point B at a certain time, as the time history of a continuous sequence of configurations between the current configuration of the robot and its goal configuration. In the simulation shows that is required some seconds for an autonomous underwater vehicle (AUV) to return to the path specified as a certain trajectories, if the track form a 90 degree angle, the AUV must create a new track by the way out of line to make it easier to maneuver all subsequent back on track, The simulation presented involved of AUV receiving a simulated command to following at a particular trajectories. In practice, it be able to receive a command to certain trajectories at any time during her mission.
轨迹跟踪定义为在某一时刻从A点到达B点,是机器人当前构型与目标构型之间的连续构型序列的时程。仿真结果表明,自主水下航行器(autonomous underwater vehicle, AUV)需要几秒钟的时间才能返回到指定的轨迹上,如果轨迹形成90度角,则AUV必须通过偏离直线的方式创建新的轨迹,以便于后续所有的轨迹都能更容易地回到轨道上。在实际操作中,它可以在任务期间的任何时间接收到特定轨迹的指令。
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引用次数: 1
Comparison of five time series EMG features extractions using Myo Armband 使用Myo臂章提取五种时间序列肌电特征的比较
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380805
Z. Arief, I. A. Sulistijono, Roby Awal Ardiansyah
Feature extraction is meant to get representation and information that embedded in the signals, this is necessary to minimize complexity of implementation and reduce the cost of information processing. Recently, there are many methods for features extraction. This research is comparing five feature extractions from eight channels electromyography (EMG) signals that obtained from Myo Armband located on forearm muscles in order to get significant differences when hand do some movements. The time series features extraction that evaluated are Mean Absolute Value (MAV), Variance (VAR), Willison Amplitude (WAMP), Waveform Length (WL), and Zero Crossing (ZC). The variety of hand movement are fist, rest, half-fist, gun-point, and mid-finger fold. Moreover, the result shows that the rank of evaluated features extraction always showhs same results in four experiment, MAV is always giving the best performance WL. From this finding, MAV and WL are two recommendation for time series features extraction. This rank of time series features extraction gives worthiness when process information in future development research.
特征提取是指获取嵌入信号中的表示和信息,这是最小化实现复杂性和降低信息处理成本所必需的。近年来,有许多特征提取方法。本研究通过对前臂肌肉上的肌环所获得的8通道肌电图信号进行5个特征提取的比较,得出手在进行某些动作时的显著差异。评估的时间序列特征提取包括平均绝对值(MAV)、方差(VAR)、威尔逊幅度(WAMP)、波形长度(WL)和过零(ZC)。各种各样的手的运动是拳头,休息,半拳,枪点,中指折叠。此外,结果表明,在4个实验中,评估特征提取的排序结果总是相同的,MAV总是给出最好的WL性能。基于这一发现,MAV和WL是时间序列特征提取的两种推荐方法。这种时序特征的提取对今后开发研究中处理信息具有一定的价值。
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引用次数: 62
An analysis of simulation - based vehicle to vehicle (V2V) communication system in main street of Surabaya 基于仿真的车对车(V2V)通信系统在泗水主要街道的分析
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380838
Yasifa Rakhma Hidayanti, N. Siswandari, Okkie Puspitorini
The development of wireless communication gives benefits to the application of mobile communication services with a considerable distance. This benefits developed communication systems between vehicles that implement IEEE 802.11p standard on the main streets of Surabaya. This research aimed to calculating the performance of communication channel using the DSRC on vehicle to vehicle communication system. Based on the simulation result, OBU could cover vehicle at the distance 0-400 m from OBU transmitter. In Raya Darmo Surabaya, the environment doesn't support data transmission because BER value only up to 10-3(available for voice transmission).
无线通信的发展为远距离移动通信业务的应用提供了便利。这有利于在泗水主要街道上实现IEEE 802.11p标准的车辆之间开发通信系统。本研究旨在利用DSRC计算车对车通信系统中通信信道的性能。仿真结果表明,OBU可以覆盖距离OBU发射机0 ~ 400 m范围内的车辆。在Raya Darmo Surabaya,环境不支持数据传输,因为BER值只有10-3(可用于语音传输)。
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引用次数: 1
River water-quality analysis: “critical contaminate detection”, “classification of multiple-water-quality-parameters values” and “real-time notification” by rspa processes 河流水质分析:通过rspa流程实现“临界污染检测”、“多重水质参数值分类”和“实时通知”
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380842
Chalisa Veesommai, Y. Kiyoki
The water quality analysis is one of the most important aspects in designing environmental systems. It is necessary to realize detection and classification processes and systems for water quality analysis. The important direction is to lead to uncomplicated understanding for public utilization. This paper presents the river Sensing Processing Actuation processes (rSPA) for determination and classification of multiple-water-parameters in Chao Phraya river. According to rSPA processes of multiple-water-quality-parameters, we find the pollutants of conductivity, salinity and total dissolved solid (TDS), which are accumulated from upstream to downstream. In several spots of the river, we have analyzed water quality in a maximum value of pollutants in term of oxidation-reduction potential (ORP). The first range effect of parameter is to express high to very high effects in term of dissolved oxygen, second is to express intermediate to very high effect in term of conductivity, third is to express low to very high effect in term of total dissolved solid, fourth is to express completely safe to very high effect in term of turbidity and the final is to express completely safe for effect in term of salinity. This paper shows the feasibility and effectiveness of rSPA processes to detect the critical contaminates points and identifies the effect class of multiple-water-quality-parameters.
水质分析是环境系统设计的重要内容之一。有必要实现水质分析的检测分类流程和系统。重要的方向是引导对公共利用的简单理解。本文介绍了湄南河多水参数的河流传感处理驱动过程(rSPA)。根据多种水质参数的rSPA过程,我们发现了电导率、盐度和总溶解固形物(TDS)等污染物是由上游向下游累积的。在河流的几个地点,我们分析了在最大污染物值下的水质氧化还原电位(ORP)。参数的第一个范围效应是在溶解氧方面表示高到非常高的效果,第二个是在电导率方面表示中等到非常高的效果,第三是在总溶解固体方面表示低到非常高的效果,第四是在浊度方面表示完全安全到非常高的效果最后是在盐度方面表示完全安全的效果。本文证明了rSPA工艺在检测临界污染点和识别多重水质参数影响等级方面的可行性和有效性。
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引用次数: 3
Design and development of an indoor avatar robot 室内化身机器人的设计与开发
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380820
Abduladeem A. Ali, M. Saad, Rabiah Adawiyah Shahad, A. Hussain
The use of robot as a substitute to human biological body in various type of task such as space exploration, inspection, meetings, and surveillance activities are becoming popular nowadays. Robotic avatar, or avatar robot, is a concept in which a robot replaces the real human. This paper reports the design and development of an avatar robot with telepresence function, which we called AvaRobo. The AvaRobo was derived primarily from our previously developed autonomous ground vehicle (AGV) type surveillance robot platform, named JagaBot™. The JagaBot™ was enriched with specialized two-way remote communication and autonomous navigation capabilities for AvaRobo application. Remote users can manipulate and control AvaRobo and use it to inspect and assess the remote environment and interact with other humans at the remote area. The AvaRobo can move autonomously via line tracking technique or manually by executing the commands given by the remote operator.
利用机器人代替人的生物身体进行空间探索、检查、会议、监视活动等各种类型的任务是越来越受欢迎的。机器人化身,又称化身机器人,是机器人代替真人的概念。本文报道了一种具有远程呈现功能的化身机器人的设计与开发,我们称之为AvaRobo。AvaRobo主要来源于我们之前开发的自主地面车辆(AGV)型监视机器人平台,名为JagaBot™。JagaBot™为AvaRobo应用程序提供了专门的双向远程通信和自主导航功能。远程用户可以操纵和控制AvaRobo,并使用它来检查和评估远程环境,并与远程地区的其他人进行互动。AvaRobo可以通过线路跟踪技术自主移动,也可以通过执行远程操作员给出的命令手动移动。
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引用次数: 1
Abnormality detection for infection and fluid cases in chest radiograph 胸片感染和积液病例的异常检测
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380815
Wan Siti Halimatul Munirah Wan Ahmad, M. F. A. Fauzi, W. Zaki
This paper presents an automated abnormality detection system for infection and fluid cases in the lung field for chest radiograph. The abnormality features represented as abnormality scores are investigated based on the sharpness of costophrenic angle (Scoreθn), symmetrical lung area (ScoreLp), area of the lung (Scorearea), as well as the lung level (ScoreLlevel). The radiograph will be detected as abnormal if any of the score is `1'. Total numbers of classified normal and with disease radiographs are 177 and 35 respectively. From the results at the image level, 78% and 100% of the infection and fluid images are correctly detected as abnormal.
本文介绍了一种用于胸片肺部感染和积液病例的自动异常检测系统。根据肋膈角(Scoreθn)、肺对称面积(ScoreLp)、肺面积(Scorearea)、肺水平(ScoreLlevel)的锐度对异常特征进行异常评分。如果任何评分为“1”,则x光片将被检测为异常。正常x线片177例,病变x线片35例。从图像水平的结果来看,78%和100%的感染和液体图像被正确地检测为异常。
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引用次数: 2
FLoW bipedal robot: Walking pattern generation 流动双足机器人:行走模式生成
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380817
Nuril Esti Khomariah, D. Pramadihanto, R. S. Dewanto
In this paper we described a model and a simulation of walking pattern of FLoW bipedal robot. This kinematics design combined four-bar linkages and translational actuators. Inverse kinematics problem is solved by using trigonometry approach. While walking pattern is made of a superposition between linear and sinusoidal function. The equations is simple and does not required long computation time. So it is efficient to maximize overall process on robot. The stability of the robot is controlled by CoM point which is calculated by multiplying the mass and position of the robot element and keeping it remain in the robot support polygon.
本文对FLoW双足机器人的行走模式进行了建模和仿真。该运动学设计结合了四杆机构和平动机构。利用三角法求解运动学逆问题。而行走模式是由线性函数和正弦函数叠加而成。该方程简单,计算时间短。因此,机器人整体过程的最大化是高效的。机器人的稳定性由质点控制,质点由机器人单元的质量和位置相乘求得,并使其保持在机器人支撑多边形上。
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引用次数: 8
Artificial Neural Network based identification system for abnormal vibration of motor rotating disc system 基于人工神经网络的电机转盘系统异常振动识别系统
Pub Date : 2015-09-01 DOI: 10.1109/ELECSYM.2015.7380850
Hardianto Dwi, Faza Alfaradin, Zaqiatud Darojah, Sanggar D. Raden
This paper reports an early work of machinery fault detection system module development. The system is developed and employed on a mechanical platform having a series of 3 aluminum rotating discs with unbalanced rotating mass to simulate an abnormal condition of a real machinery. This detection system is intended to have a capability of either to give an early warning due to an abnormality of the machine vibration or to localize the position of such abnormality among the discs. Artificial Neural Network (ANN) method is used to determine and to localize the abnormality by utilizing the vibration data. The method utilizes 3 features of time domain and 2 feature frequency domain signal characteristics. After the ANN was trained, this detection system was able to identify the plant condition of 90% accuracy.
本文报道了机械故障检测系统模块开发的前期工作。该系统是在一个由3个旋转质量不平衡的铝盘组成的机械平台上开发和应用的,用于模拟真实机械的异常情况。这种检测系统的目的是要有一种能力,要么给予早期预警,由于机器的振动异常或定位这种异常的位置之间的盘。利用振动数据,采用人工神经网络(ANN)方法进行异常定位。该方法利用了3个时域特征和2个频域特征的信号特性。经过神经网络的训练,该检测系统能够以90%的准确率识别植物状态。
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引用次数: 6
期刊
2015 International Electronics Symposium (IES)
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