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2019 IEEE Student Conference on Research and Development (SCOReD)最新文献

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Fuzzy Logic for Reducing Data Loss during Cyber Intrusion in Smart Grid Wireless Network 智能电网无线网络入侵中减少数据丢失的模糊逻辑
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896269
N. Singh, V. Mahajan
Smart grid consists of smart devices to control, record and analyze the grid power flow. All these devices belong to the latest technology, which is used to interact through the wireless network making the grid communication network vulnerable to cyber attack. This paper deals with a novel approach using altering the Internet Protocol (IP) address of the smart grid communication network using fuzzy logic according to the degree of node. Through graph theory approach Wireless Communication Network (WCN) is designed by considering each node of the system as a smart sensor. In this each node communicates with other nearby nodes for exchange of data. Whenever there is cyber intrusion the WCN change its IP using proposed fuzzy rules, where higher degree nodes are given the preference to change first with extreme IP available in the system. Using the proposed algorithm, different IEEE test systems are simulated and compared with existing Dynamic Host Configuration Protocol (DHCP). The fuzzy logic approach reduces the data loss and improves the system response time.
智能电网由控制、记录和分析电网潮流的智能设备组成。所有这些设备都属于最新技术,它们通过无线网络进行交互,使网格通信网络容易受到网络攻击。本文提出了一种基于节点度的模糊逻辑改变智能电网通信网络IP地址的新方法。利用图论方法,将系统的每个节点看作一个智能传感器,设计了无线通信网络。在这种情况下,每个节点与附近的其他节点通信以交换数据。当存在网络入侵时,WCN使用所提出的模糊规则改变其IP,其中度较高的节点在系统可用的极限IP下优先改变。利用该算法对不同的IEEE测试系统进行了仿真,并与现有的动态主机配置协议(DHCP)进行了比较。模糊逻辑方法减少了数据丢失,提高了系统响应时间。
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引用次数: 2
Smith Predictor-based Controllers for Temperature Process with Time Delay 基于Smith预测的时滞温度过程控制器
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896245
Ivan Manuel Iampita, S. B. Hisham
Smith Predictor (SP) control structure is usually developed around a proportional-integral (PI) controller to improve the performance of processes with time delay. However, this technique has shortcomings as it depends on the exact representation of the process model, does not guarantee robustness and it is sensitive to process delay variation. A temperature control experiment is conducted on a shell-tube heat exchanger due to its time delay presence characteristic. A process model is obtained through a statistical modelling identification. Using Matlab/Simulink to simulate the control of the temperature process loop, a PI and Smith Predictor-PI (SP-PI) controllers are developed and compared to prove the effectiveness of the latter. Later both controllers are compared to a Filtered Smith Predictor (FSP) to offer benchmark comparison. Investigation is conducted on the ability of the SP-PI and FSP control structures to robustly control a temperature feedback loop when the process time delay is varied and results show that they are both efficient. Moreover, limits to reducing the effects caused by time delay are dependent on the choice of robust element value and sampling time choice for the SP-PI and FSP structures respectively. The control performance of both structures are compared using indicators such as Integral Absolute Error (IAE), Integral Squared Error (ISE), settling time, rise time and overshoot.
史密斯预测器(SP)控制结构通常是围绕比例积分(PI)控制器开发的,以改善具有时滞的过程的性能。然而,该方法存在着依赖于过程模型的精确表示、不能保证鲁棒性和对过程延迟变化敏感等缺点。利用壳管换热器的时滞存在特性,对其进行了温度控制实验。通过统计建模识别,得到过程模型。利用Matlab/Simulink对温度过程回路的控制进行仿真,开发了PI控制器和Smith预估PI (SP-PI)控制器,并对后者的有效性进行了比较。之后,将两个控制器与滤波史密斯预测器(FSP)进行比较,以提供基准比较。研究了SP-PI和FSP控制结构在过程时滞变化时对温度反馈回路的鲁棒控制能力,结果表明它们都是有效的。此外,对于SP-PI和FSP结构,降低时延影响的限制分别取决于鲁棒元值的选择和采样时间的选择。利用积分绝对误差(IAE)、积分平方误差(ISE)、沉降时间、上升时间和超调量等指标对两种结构的控制性能进行了比较。
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引用次数: 3
Communication Latency in Multi-agent System for Microgrid 微电网多智能体系统的通信延迟
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896243
Niharika Singh, I. Elamvazuthi, P. Nallagownden, G. Ramasamy, A. Jangra
This paper discusses about designing a multiagent system (MAS) for the IEEE bus-4 microgrid. The design models the communication latency among various agents. These intelligent agents are arranged as per the distributed manner impacting the higher-level capabilities of the microgrid. This helps in the controlling and maintaining coordination between power and communication network of the microgrid. Communication latency or delay is divided into system and communication delay. The simulation of the methodology is conducted to identify the delay at each segment of the microgrid, i.e. generation, transmission, distribution and load. The model is simulated using a multi-agent simulator i.e. AnyLogic. Which has the interest to measure how fast system is responding based on the installation of MAS for IEEE bus-4.
本文讨论了面向IEEE总线4微电网的多智能体系统(MAS)设计。该设计对各个代理之间的通信延迟进行建模。这些智能代理按分布式方式排列,影响着微电网的高层能力。这有助于控制和维护微电网的电力和通信网络之间的协调。通信延迟或延迟分为系统延迟和通信延迟。对该方法进行仿真,识别微电网各环节(发电、输电、配电和负荷)的时延。该模型使用多智能体模拟器(即AnyLogic)进行仿真。它有兴趣测量基于IEEE总线4的MAS安装的系统响应速度有多快。
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引用次数: 1
EEG Data Compression using Truncated Singular Value Decomposition for Remote Driver Status Monitoring 基于截断奇异值分解的脑电数据压缩技术
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896252
M. K. Alam, A. Aziz, S. A. Latif, A. Awang
Advancements in wireless body sensor technology have enabled continuous recording of Electroencephalogram (EEG) data for remote monitoring. However, a significant amount of data introduced due to the continuous data recording over time has become a challenge for energy constraint sensor nodes to transfer the data to the remote stations. Therefore, many researchers explore data compression techniques to solve the large-scale data issue by compressing before the raw data are transmitted to the sink. This paper proposes a Truncated Singular Value Decomposition (TSVD) technique to compress raw EEG data by eliminating the high volume of redundant data. At the pre-processing stage, collected EEG data are reshaped to a 2-D matrix then the matrix is transformed into the subspace or vector-space using TSVD for to compress the matrix based on the correlation of the data. Afterwards, the proposed technique reconstructs the compressed data at the remote station for further analysis. Various performance metrics are utilized to evaluate the proposed technique. Simulation results show that the proposed technique suppresses a big amount of redundant data with acceptable distortion of the original data.
无线身体传感器技术的进步使脑电图(EEG)数据的连续记录成为可能,用于远程监测。然而,随着时间的推移,由于持续的数据记录而引入的大量数据已经成为能量约束传感器节点将数据传输到远程站点的挑战。因此,许多研究人员探索数据压缩技术,通过在原始数据传输到sink之前进行压缩来解决大规模数据问题。本文提出了一种截断奇异值分解(TSVD)技术,通过消除大量冗余数据来压缩原始脑电数据。在预处理阶段,将采集到的脑电数据重构为二维矩阵,然后利用TSVD将矩阵变换到子空间或向量空间,根据数据的相关性对矩阵进行压缩。然后,将压缩后的数据重构到远站进行进一步分析。使用各种性能指标来评估所建议的技术。仿真结果表明,该方法在抑制大量冗余数据的同时,对原始数据的失真程度可接受。
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引用次数: 3
An Efficient Energy Consumption Technique in Integrated WSN-IoT Environment Operations 无线网络-物联网一体化环境下的高效能耗技术
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896238
Gunasekar Thangarasu, P. Dominic, Mahmod bin Othman, R. Sokkalingam, Kayalvizhi Subramanian
The data exchange volume in Wireless Sensor Networks (WSN) is increasing in recent years due to expansion of the WSN with Internet of Things (IoT). The wireless sensor networks act as a digital skin by providing information from a virtual layer, which can be accessed through any computational system. The availability of imbalanced resources and heterogeneous IoT communication leads to energy consumption constraints. This study proposed a method uses a Chaotic Whale Optimization framework to improve the consumption of energy in integrated WSN-IoT environment operations. The obtained energy optimization results compared with the other conventional methods. The result shows that proposed method obtains improved energy efficiency in integrated WSN-IoT environment.
近年来,随着物联网(IoT)的发展,无线传感器网络(WSN)中的数据交换量不断增加。无线传感器网络通过提供来自虚拟层的信息来充当数字皮肤,虚拟层可以通过任何计算系统访问。资源不均衡的可用性和物联网通信的异构性导致了能源消耗的限制。本研究提出了一种利用混沌鲸优化框架来提高无线网络-物联网集成环境运行能耗的方法。与其他常规方法进行了比较,得到了能量优化的结果。结果表明,该方法在WSN-IoT集成环境下获得了更高的能效。
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引用次数: 6
Design and Development of a Snake-Robot for Pipeline Inspection 管道检测蛇形机器人的设计与研制
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896254
Anojan Selvarajan, Anirban Kumar, Devika Sethu, Mohd Azwan bin Ramlan
Robots are machines which performs mechanical and repetitive tasks with little to no interaction of human. Robots are designed to remove human factor from dangerous work places and to act in an inaccessible environment. When it comes to pipe line inspection, snake robots can easily access wide range of pipelines that includes pipes in the oil industries (thick diameter) to the sewer pipers (small diameter). This project focuses on the design, development and working of a snake robot (Slyder) which is inspired from real snakes. The snake robot consists of compact links (brackets) which allows Slyder to maintain smooth movements. Slyder is designed to inspect the pipelines and to check for damages or blockages. The most effective movement pattern such as; crawling and slithering are implemented on this snake robot. Servo motors, wireless cam, Arduino Nano and remote control are some of the components that were used to develop this prototype. To make the snake robot function like a real snake, it is constructed using many brackets. To cut down the cost, these brackets are designed on Fusion 360 and 3D printed using PLA material. Each bracket has a servo motor that enables the robot to have various degrees of freedom for different gaits. The modular design gives the robot flexibility to reach different territories and ability to move around in complex environments.
机器人是执行机械和重复任务的机器,几乎没有人的互动。机器人的设计目的是消除危险工作场所的人为因素,并在难以接近的环境中工作。在管道检查方面,蛇机器人可以轻松地访问石油工业管道(粗直径)到下水道管道(小直径)等各种管道。这个项目的重点是蛇形机器人(slider)的设计、开发和工作,它的灵感来自于真实的蛇。蛇形机器人由紧凑的链接(支架)组成,这使得斯莱德能够保持平稳的运动。slider用于检查管道并检查损坏或堵塞情况。最有效的运动模式如;该蛇形机器人实现了爬行和滑动。伺服电机,无线凸轮,Arduino Nano和遥控器是用来开发这个原型的一些组件。为了使蛇机器人像真正的蛇一样工作,它使用了许多支架。为了降低成本,这些支架是在Fusion 360上设计的,并使用PLA材料进行3D打印。每个支架都有一个伺服电机,使机器人能够对不同的步态具有不同的自由度。模块化设计使机器人能够灵活地到达不同的区域,并能够在复杂的环境中移动。
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引用次数: 12
Design and Analysis of Fractional-order Oscillators Using Scilab 分数阶振荡器的Scilab设计与分析
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896260
Kishore Bingi, R. Ibrahim, M. N. Karsiti, S. Hassan, I. Elamvazuthi, Arun Mozhi Devan
Over the years the chaotic behavior of fractional-order oscillators has been utilized in many real-world applications. In all the developments, the implementation and evaluation of these oscillators are done using MATLAB software. However, MATLAB is very expensive even for a limited number of licenses. Hence, a major alternative and open-source software i.e., Scilab can be used for these numerical computations. Therefore, in this paper, the fractional-order Van der Pol and Duffing oscillators are developed and analyzed using Scilab for various commensurate and non-commensurate orders. The simulation study shows that the fractional-order oscillators can be effectively implemented and analyzed using Scilab,
多年来,分数阶振子的混沌行为在许多实际应用中得到了应用。在所有的开发中,这些振荡器的实现和评估都是使用MATLAB软件完成的。然而,即使对于有限数量的许可证,MATLAB也非常昂贵。因此,一个主要的替代和开源软件,即Scilab可以用于这些数值计算。因此,本文利用Scilab开发了分数阶Van der Pol和Duffing振子,并对其进行了各种相称阶和非相称阶的分析。仿真研究表明,使用Scilab可以有效地实现和分析分数阶振荡器。
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引用次数: 2
Design and Development of an Obstacle Avoidance Mobile-controlled Robot 避障移动控制机器人的设计与研制
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896296
Phung Quang Anh, Tran duc Chung, T. Tuan, M.K.A.Ahmed Khan
Mobile robot development has been receiving attentions from researchers worldwide in recent years, especially in developing autonomous mobile robots. However, there are still needs for developing semi-auto robots, mainly for allowing human-assisted control mechanism while operating the robots. This is greatly helpful in performing site surveying tasks and where environment setup is variable or unknown. In this research, an obstacle avoidance mobile-controlled robot is developed using an Arduino Uno R3 microprocessor operated by controlling of a mobile Android-based device via Bluetooth. Apart from performing well basic functions like moving forward and backward, turning left and right, the robot is able to detect preceding obstacle, stop movement, and then identify suitable clear way for avoiding the obstacle.
近年来,移动机器人的发展受到了世界各国研究者的关注,尤其是自主移动机器人的发展。然而,半自动机器人仍然需要发展,主要是在操作机器人时允许人类辅助控制机构。这在执行现场测量任务和环境设置可变或未知的地方非常有用。本研究采用Arduino Uno R3微处理器,通过蓝牙控制基于android的移动设备,开发了一种避障移动控制机器人。机器人除了能很好地完成前进、后退、左右转弯等基本功能外,还能检测到前方的障碍物,停止运动,然后识别出合适的清除方式以避开障碍物。
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引用次数: 4
Optimization of Metal Oxide Nanostructures via Two-Step Hydrothermal Synthesis 两步水热合成优化金属氧化物纳米结构
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896322
L. Anthony, V. Perumal
Metal oxide nanostructures have been commonly utilized as biosensors for the early detection and treatment of diseases. However, the translation of biosensors from research laboratories to clinical applications has remained limited due to degrading accuracies and irreversible reactions that result in long response and recovery times. Recent breakthroughs have highlighted the potential of transition metal oxides as a viable solution. In this work, we synthesize several transition metal oxide nanostructures using a novel combination of the sol-gel process and hydrothermal method. Through physical characterization, numerous nanostructures were obtained; particularly nickel oxide nanoflakes, cobalt oxide nanoparticles, manganese oxide nanomolars and nanowires as well as zinc oxide nanorods and nanoflakes. Among the four materials, zinc oxide and manganese oxide followed the general trend of resistivity but also displayed the greatest resistance due to their high density of nanostructures. The development of these materials will provide a new avenue for researched to understand the mechanisms involved in fabricating nanostructures as well as stimulate broader interest in improving biosensor capabilities.
金属氧化物纳米结构通常被用作生物传感器,用于疾病的早期检测和治疗。然而,由于准确性降低和不可逆反应导致较长的响应和恢复时间,生物传感器从研究实验室到临床应用的转化仍然有限。最近的突破突出了过渡金属氧化物作为一种可行解决方案的潜力。在这项工作中,我们利用溶胶-凝胶法和水热法的新组合合成了几种过渡金属氧化物纳米结构。通过物理表征,获得了大量的纳米结构;特别是氧化镍纳米片,氧化钴纳米片,氧化锰纳米分子和纳米线,以及氧化锌纳米棒和纳米片。在四种材料中,氧化锌和氧化锰的电阻率总体呈上升趋势,但由于其纳米结构的高密度,表现出最大的电阻率。这些材料的发展将为了解纳米结构制造机制的研究提供新的途径,并激发人们对提高生物传感器能力的更广泛兴趣。
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引用次数: 0
Collision-Slots Skipping Based Binary Tree Anti-Collision Algorithm for RFID 基于冲突槽跳变的RFID二叉树防碰撞算法
Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896329
R. Annur, N. Jalil, S. Nakpeerayuth, L. Wuttisittikulkij
Collision is a crucial issue to be addressed for an efficient identification process in radio frequency identification (RFID) systems. This paper presents an efficient collision arbitration algorithm based on binary tree algorithm to improve the performance of the RFID system. In the proposed algorithm, collision-slots skipping is applied. For a collision, binary splitting is firstly applied until the leftmost node of the binary tree contains idle or a success. From the outcome from the left-hand side node, we can expect the number of tags in the right-hand nodes. If the left-hand node is a collided slot, the binary tree will skip the righthand node as it is expected as a collision node. The simulation results show that the proposed improved binary tree algorithm outperforms the existing algorithms.
在射频识别(RFID)系统中,碰撞是有效识别过程中必须解决的关键问题。为了提高RFID系统的性能,提出了一种基于二叉树算法的高效碰撞仲裁算法。在该算法中,采用了碰撞槽跳过算法。对于碰撞,首先应用二叉分割,直到二叉树最左边的节点包含空闲或成功。从左侧节点的结果中,我们可以预测右侧节点中的标签数量。如果左侧节点是碰撞槽,则二叉树将跳过右侧节点,因为它是预期的碰撞节点。仿真结果表明,改进的二叉树算法优于现有算法。
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引用次数: 0
期刊
2019 IEEE Student Conference on Research and Development (SCOReD)
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