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2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering最新文献

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Modulation performance in Wireless Avionics Intra Communications (WAIC) 无线航空电子内部通信(WAIC)中的调制性能
M. Suryanegara, Naufan Raharya
This paper discusses the comparison of 4 (four) types of modulation used in WAIC technology. WAIC (Wireless Avionics Intra Communications) is a new wireless system that connects avionics over short distances in the aircraft. The technology was proposed by ITU (International Telecommunication Union), ICAO (International Civil Aviation Organization), AVSI (Aerospace Vehicle Systems Institute), and aircraft manufacturers. The various kinds of modulation give significant impact to required WAIC spectrum. Subsequently, such factor is also determined by the modulation efficiency that is unique to the type of modulation. This paper investigates the modulation trade-offs that must be fulfilled to gain optimum result. These optimum results are the key findings to determine the spectrum and the number of OPS (Omnidirectional Point Source). The parameters being simulated are power, modulation efficiency, BER, and the total spectrum needed. The result shows that QPSK is the best proposed modulation respected to the most optimum simulation results. In conclusion, QPSK could be used as the modulation system used in WAIC technology.
本文讨论了用于WAIC技术的四种调制类型的比较。无线航空电子设备内部通信(WAIC)是一种新型无线系统,用于在飞机上短距离连接航空电子设备。该技术是由ITU(国际电信联盟)、ICAO(国际民用航空组织)、AVSI(航空航天车辆系统研究所)和飞机制造商提出的。各种调制方式对所需的WAIC频谱有很大的影响。随后,这种因素也由调制类型所特有的调制效率决定。本文研究了为获得最佳效果而必须满足的调制权衡。这些优化结果是确定全向点源的频谱和数量的关键。模拟的参数包括功率、调制效率、误码率和所需的总频谱。结果表明,从最优的仿真结果来看,QPSK是最佳的调制方案。综上所述,QPSK可以作为WAIC技术中使用的调制系统。
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引用次数: 8
Maximum power point tracking photovoltaic using root finding modified bisection algorithm 基于寻根改进对分算法的光伏最大功率点跟踪
Soedibyo, Ciptian Weried Priananda, Muhammad Agil Haikal
Photovoltaic is one of the most potential energy sources for the future, this is due to its characteristics pollution free also unlimited of availability. Maximum power point tracking methods are needed to make photovoltaic energy harvesting more efficient, modified bisection algorithms used as maximum power point tracking algorithm is embedded into the microcontroller ATMega 16. Modified bisection algorithm method divides the search area of the maximum power into two sections, and continues to be divided up by the specified iterations or when the power deviation compare to the voltage changes is zero. The simulation results show that modified bisection algorithm for tracking photovoltaic's maximum power is potentially could theoretically to be implemented. On testing implementations use the microcontroller ATMega 16 found that when the potential value of the power is approximatelly 70 watt photovoltaic, then the algorithm can reach 62 watt.
光伏是未来最有潜力的能源之一,这是由于其无污染的特点和无限的可用性。为了提高光伏能量收集的效率,需要最大功率点跟踪方法,将改进的对分算法作为最大功率点跟踪算法嵌入到微控制器atmega16中。改进的对分算法方法将最大功率的搜索区域分成两部分,按指定的迭代次数或当功率相对于电压变化的偏差为零时继续分割。仿真结果表明,改进的对分算法跟踪光伏最大功率在理论上是可行的。对使用atmega16单片机实现的测试发现,当光伏的电势值约为70瓦时,则该算法可以达到62瓦。
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引用次数: 3
Leakage current characteristics at different shed of epoxy resin insulator under rain contaminants 雨污作用下环氧树脂绝缘子不同棚漏电流特性
A. Syakur, Hermawan
In this paper we present the characteristics of leakage current at different shed of epoxy resin insulator under rain contaminants. The aim of this paper compared the leakage current characteristics under rain contaminant and dry test. Also it compared when used same and different sheds. The tests were conducted at high voltage laboratory with AC high voltage 50 Hz. Leakage current characteristic of 20 kV outdoor insulators with epoxy resin has been investigated under dry and rain contaminant condition. The chamber was used to placing the insulator. The research results showed that the leakage currents characteristics on insulator surface were affected by rain contaminant and form of shed. A minimum leakage current achieved at outdoor insulator without contaminant or dry test conditions. For outdoor insulator under rain contaminant test, the characteristics of leakage current tend to increase. Shed form of insulator influences the characteristics of leakage current also was analyzed.
本文研究了雨污作用下环氧树脂绝缘子在不同工况下的漏电流特性。本文的目的是比较雨水污染和干燥试验下的泄漏电流特性。并对同一工棚和不同工棚的使用情况进行了比较。试验在高压实验室进行,交流高压50hz。研究了20 kV环氧树脂室外绝缘子在干燥和雨水污染条件下的泄漏电流特性。这个室是用来放置绝缘体的。研究结果表明,绝缘子表面的泄漏电流特性受雨水污染和棚子形式的影响。在室外绝缘子无污染或干燥测试条件下达到的最小泄漏电流。雨污试验下室外绝缘子的漏电流特性有增大的趋势。分析了绝缘子脱落形式对漏电流特性的影响。
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引用次数: 8
Real-time SoC architecture and implementation for Variable Speech PDF based noise cancellation system 基于可变语音PDF的实时SoC结构与降噪系统实现
Aditya Ferry Ardyanto, I. Hafizh, Septian Gilang Permana Putra, T. Adiono
This paper discusses the architecture and implementation of system-on-chip (SoC) for noise cancellation system which uses Variable Speech PDF and MAP Estimation as noise cancelling algorithm. The hardware software co-design approach is used to achieve real-time performance while considering ease of implementation and design flexibility. The software module utilizes LEON SPARC-v8 and FPU co-prosessor as processing unit. The AMBA based Hanning Filter and FFT/IFFT are designed as processing accelerator module to increase system performance. The FFT/IFFT module uses custom Radix-22 Single Delay Feedback (R22SDF). In order to provide high data transfer rate between buffer and hardware accelerators, the DMA controller is also designed. The overall system implementation utilizes 18,500 logic elements and uses 21.87 kB of memory. Latency of the system is 0.69 ms so the system can be run in real-time. The system is implemented on FPGA Altera DE2-70 with both algorithms and the noise cancellation function has been verified.
本文讨论了采用可变语音PDF和MAP估计作为降噪算法的片上系统(SoC)的结构和实现。采用软硬件协同设计的方法,在考虑易实现性和设计灵活性的同时实现实时性。软件模块采用LEON SPARC-v8和FPU协处理器作为处理单元。采用基于AMBA的汉宁滤波器和FFT/IFFT作为处理加速模块,提高系统性能。FFT/IFFT模块使用自定义Radix-22单延迟反馈(R22SDF)。为了在缓冲器和硬件加速器之间提供高的数据传输速率,还设计了DMA控制器。整个系统实现使用18,500个逻辑元件,使用21.87 kB内存。系统延迟为0.69 ms,可以实时运行。该系统在Altera DE2-70 FPGA上实现,并对算法和降噪功能进行了验证。
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引用次数: 1
Data rate of connections in performing packet delivery of Wireless Mesh Network using Hybrid Wireless Mesh Protocol and Optimized Link State Routing protocol 采用混合无线Mesh协议和优化链路状态路由协议的无线Mesh网络进行分组传输时的连接数据速率
Alexander William Setiawan Putra, A. Suhartomo
Wireless Mesh Network (WMN) relies in routing protocols for route discovery from sender to receiving nodes. There are two routing protocols that are evaluated: Hybrid Wireless Mesh Protocol (HWMP) and Optimized Link State Routing (OLSR). Packet delivery is very crucial in telecommunication. Data rate of connections relate closely with the performance of packet delivery in telecommunication especially WMN. HWMP and OLSR have different mechanisms of route discovery which are affected by the changes of data rate of connections and can affect the packet delivery of data. This experiment focuses in evaluating the performance of both protocols under different conditions of data rate of connections. The objective of this experiment is to evaluate the performance of both protocols and find the relevancy between the results of simulations and theories of the mechanism of both protocols. All of the simulations are done with using Network Simulator Version 3. The simulations are done for more than 100 times in order to get the consistency of the results of simulations and to evaluate the natural behaviors of both protocols.
无线网状网络(Wireless Mesh Network, WMN)依靠路由协议实现从发送端到接收端的路由发现。评估的路由协议有两种:Hybrid Wireless Mesh Protocol (HWMP)和Optimized Link State routing (OLSR)。分组传输在通信中起着至关重要的作用。在通信系统中,特别是无线宽带网络中,连接的数据速率与分组传输的性能密切相关。HWMP和OLSR具有不同的路由发现机制,受连接数据速率变化的影响,会影响数据的报文发送。本实验主要评估两种协议在不同连接速率条件下的性能。本实验的目的是评估两种协议的性能,并找到仿真结果与两种协议机制的理论之间的相关性。所有的模拟都是使用Network Simulator Version 3完成的。为了得到仿真结果的一致性和评价两种方案的自然行为,进行了100多次的仿真。
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引用次数: 1
Design and analysis of dualband J-Pole antenna with variation in “T” shape for transceiver radio communication at VHF and UHF band VHF和UHF波段收发无线电通信用变“T”型双频j极天线的设计与分析
Yoga Krismawardana, Y. Christyono, M. Riyadi
Transceiver radio is a commonly used wireless telecommunication system that establishes two-way communication in a relatively far distance without any cellular cost. However, radio communication needs a good antenna for transmitting and receiving well in both way. In this paper, a dual band J-Pole antenna for VHF and UHF transceiver radio communication was simulated and implemented. This antenna was designed for frequency of 146 MHz and was able to resonate well at UHF band by adding a “T” shaped compensating element. The material used was 4 mm iron wire. The J-Pole-T antenna performance was measured to get the resonant frequency, VSWR, and radiation pattern. Based on test results, the J-Pole-T antenna was resonating at frequency of 148 MHz with VSWR 1:1,1, while at the UHF band of 454 MHz with VSWR 1:1,05. The radiation pattern of J-pole-T antenna showed an omnidirectional shape. The testing result also revealed that the J-Pole-T antenna could transmit and receive radio signal as well.
收发器无线电是一种常用的无线通信系统,它可以在相对较远的距离内建立双向通信,而不需要任何蜂窝费用。然而,无线电通信需要一个良好的天线,以发送和接收良好的双向。本文对一种用于VHF和UHF收发无线电通信的双频j极天线进行了仿真和实现。该天线设计工作频率为146mhz,通过增加“T”形补偿元件,可以在UHF频段产生良好的谐振。所用材料为4mm铁丝。测量了J-Pole-T天线的性能,得到了谐振频率、驻波比和辐射方向图。测试结果表明,J-Pole-T天线在148mhz频率谐振,驻波比为1:1,1;在454mhz UHF频段谐振,驻波比为1:1,05。j极- t天线的辐射方向图呈全向形状。测试结果还表明,J-Pole-T天线具有发射和接收无线电信号的能力。
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引用次数: 3
MRC NN controller for arm robot manipulator 手臂机器人机械臂的MRC神经网络控制器
M. Khairudin, N. Kholis
This paper presents investigations into the development of model reference control based on a neural network (NN) for robot manipulator. A NN used as a controller network and a plant model network. A dynamic model of the system is derived using a Lagrange-Euler. The controller to simplify a nonlinearities problem that can be efficiently solved using NN. To study the effectiveness of the controller, initially a nonlinear model is developed for one link robot manipulator. The performances of the NN controllers are assessed in terms of the input tracking controller capability of the system and disturbance robustness. The input is generated by a combined multiple steps input. Finally, a comparative assessment of the input tracking control and a disturbance robustness is presented. The results show that NN controller performs give increasing profiles.
本文研究了基于神经网络的机器人操纵臂模型参考控制的发展。一种用作控制器网络和植物模型网络的神经网络。利用拉格朗日-欧拉定理推导了系统的动力学模型。该控制器简化了非线性问题,可以有效地利用神经网络求解。为了研究该控制器的有效性,首先建立了单连杆机器人的非线性模型。从系统的输入跟踪能力和扰动鲁棒性两方面评价了神经网络控制器的性能。输入是由组合的多步骤输入生成的。最后,对输入跟踪控制和扰动鲁棒性进行了比较评估。结果表明,神经网络控制器的性能是递增的。
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引用次数: 0
Application of supervised learning in grain dryer technology recirculation type cooperated with Wireless Sensor Network 监督学习在谷物干燥机技术中的应用
S. S. Hidayat, T. Prasetyo, A. Suharjono, Kurnianingsih, M. Anif
Post-harvest problems faced by farmers are drying grain. Traditional drying method, low-cost (dried) or use the dryer does not provide a perfect drying results. This is due to the two methods are not able to regulate the temperature, moisture content and humidity levels of the air to the right. As a result of the rice produced has a low quality, easily broken and destroyed during grinding. On the other hand, the existing grain dryer technology is still costly. These things make farmers reluctant to use the existing dryer. Wireless Sensor Network (WSN) have the ability to regulate temperature, moisture content and humidity levels of the air to the right. WSN utilization in grain dryers can provide solutions to improve rice quality and efficiency of the drying process. To improve energy efficiency, husk charcoal briquettes used as fuel grain dryers. Therefore, in this study with a grain dryer technology made husk charcoal briquettes as an energy source based Wireless Sensor Network (WSN) to improve the quality of the rice, so in the end product technology is acceptable to the community and is able to be mass produced. Supervised learning is used in smart system of grain dryer technology to learn grain characteristics.
农民在收获后面临的问题是谷物干燥。传统的干燥方法,成本低(干燥)或使用干燥机不能提供完美的干燥效果。这是由于这两种方法都不能把空气的温度、含水率和湿度调节到合适的程度。因此,生产出来的大米质量很低,在碾磨过程中容易破碎和破坏。另一方面,现有的谷物干燥机技术仍然是昂贵的。这些因素使得农民不愿意使用现有的干燥机。无线传感器网络(WSN)具有调节温度、湿度和空气湿度水平的能力。WSN在谷物干燥机中的应用可以为提高稻米品质和干燥效率提供解决方案。为了提高能源效率,将脱壳型煤用作燃料谷物烘干机。因此,本研究用一种谷物干燥技术制作了以谷壳木炭为能源的基于无线传感器网络(WSN)的压块来提高大米的质量,因此在最终产品技术上是被社会所接受的,并且是能够批量生产的。将监督学习技术应用于谷物干燥机智能系统中,学习谷物特性。
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引用次数: 1
Cerebellar model articulation controller (CMAC) for sequential images coding 序列图像编码的小脑模型衔接控制器(CMAC)
Muhamad Iradat Achmad, Hanung Adinugroho, A. Susanto
CMAC is an artificial neural network that uses a postulate of the cerebellum model as its basic structure. This network has a unique address mapping that provides a condition to learn fast and to store information efficiently. By utilizing the features, this paper implements CMAC for sequential images coding. In the encoding process, the pixel position (row, column, and frame) and the pixel value are used in training as input and output, respectively. The trained weights are then quantized to be the encoded data. In the decoding process, weights, which obtained through de-quantization of the encoded data, are used to reconstruct sequential images. Compression achieved because the bit allocation for weights is smaller than for sequential images. In addition, a frame (or a region of interest in a frame) can be retrieved easily from the encoded data by passing spatio-temporal positions to the output mapping in the decoding stage. This paper also compares the performance between the CMAC-based coding and the block-based coding of MPEG. Results show that the CMAC-based coding increases the performance of the mean square error per frame (factor of 28.1 %), frame rate (factor of 14 %), and perceptual quality (factor of 24.4 %).
CMAC是一种以小脑模型的假设为基本结构的人工神经网络。该网络具有独特的地址映射,为快速学习和高效存储信息提供了条件。利用这些特征,本文实现了CMAC序列图像编码。在编码过程中,像素位置(行、列、帧)和像素值在训练中分别作为输入和输出。然后将训练好的权重量化为编码后的数据。在解码过程中,利用对编码数据进行去量化得到的权重重构序列图像。实现压缩是因为权重的位分配比顺序图像的位分配要小。此外,通过在解码阶段将时空位置传递给输出映射,可以很容易地从编码数据中检索帧(或帧中感兴趣的区域)。本文还比较了基于cmac编码和基于分组编码的MPEG的性能。结果表明,基于cmac的编码提高了每帧均方误差(28.1%)、帧率(14%)和感知质量(24.4%)的性能。
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引用次数: 2
An Adaptive Neuro Fuzzy Inference System for fault detection in transformers by analyzing dissolved gases 基于溶解气体分析的自适应神经模糊推理变压器故障检测系统
A. Vani., P. Murthy
Safe operation of elements of power systems plays a crucial role in maintaining the reliability and safety of the system. Transformers being a key element in power systems need to be maintained and monitored on a regular basis. Dissolved gas analysis has been used as a reliable tool in maintaining the safe operation of transformers for a long time. Analysis of dissolved gases is analytical and often interpreted differently by different users and methods. The scope of Artificial Intelligence tools in dissolved gas analysis has become critical with increasing number of transformers being used in power systems coupled with rapid expansion of transmission and distribution components. In this work we have designed an analysis system based on different Artificial Intelligence methods like Neural Networks, Fuzzy, and Adaptive Neuro-Fuzzy for analyzing dissolved gas and give interpretation about possible faults. Adaptive Neuro-Fuzzy Inference System (ANFIS) modeling technique has emerged as one of the soft computing modeling technique for power transformer. The objective of this paper is to design an ANFIS model for dissolved gas analysis of power transformers. The prediction ability of the ANFIS is also tested using limited data set for model training.
电力系统各部件的安全运行对维持系统的可靠性和安全性起着至关重要的作用。变压器作为电力系统的关键部件,需要对其进行定期维护和监测。长期以来,溶解气体分析一直是维护变压器安全运行的可靠手段。溶解气体的分析是分析性的,不同的用户和不同的方法常常有不同的解释。随着电力系统中使用的变压器数量的增加以及输配电组件的快速扩展,人工智能工具在溶解气体分析中的应用范围变得至关重要。在这项工作中,我们设计了一个基于不同人工智能方法(如神经网络、模糊和自适应神经模糊)的分析系统,用于分析溶解气体并给出可能的故障解释。自适应神经模糊推理系统(ANFIS)建模技术是电力变压器软计算建模技术之一。本文的目的是设计一个用于电力变压器溶解气体分析的ANFIS模型。利用有限的数据集进行模型训练,验证了ANFIS的预测能力。
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引用次数: 9
期刊
2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering
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