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2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)最新文献

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Wireless security in selection decode-and-forward relay networks 选择译码转发中继网络中的无线安全
Dilip Kumar Sarker, M. Sarkar, M. S. Anower
In this paper, a confidential communication scenario is considered through selection decode-and-forward cooperative relay networks over Rayleigh fading channel in which a source communicates with a destination via multiple relays. A best relay is selected using selection combining technique which communicates with the destination. An eavesdropper observes their communication and tries to decode confidential information. In this situation, an interest is given to ensure secure communication between the best relay and the destination so that eavesdropper is unable to decode any information from the main channel (i.e. channel between relay and destination). The performance of the proposed model is analyzed based on the closed-form analytical expressions of the ergodic secrecy capacity and the secure outage probability taking into account the distances of relays from the source, destination and the eavesdropper. Analytical results show that the additional diversity provided by the best relay situated in a strategic location significantly improves the secure outage performance of the selection decode-and-forward relay networks.
本文考虑了一种基于瑞利衰落信道的选择译码转发合作中继网络的保密通信场景,其中一个源与一个目标通过多个中继进行通信。利用选择组合技术选择出与目的地通信的最佳中继。窃听者观察他们的通信并试图破译机密信息。在这种情况下,需要确保最佳中继和目的地之间的安全通信,从而使窃听者无法解码来自主信道(即中继和目的地之间的信道)的任何信息。基于遍历保密能力和安全中断概率的封闭解析表达式,考虑中继与源、目的和窃听者的距离,对该模型的性能进行了分析。分析结果表明,位于战略位置的最佳中继所提供的额外分集显著提高了选择译码转发中继网络的安全中断性能。
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引用次数: 3
Modelling & simulation of a grid connected hybrid power plant with photovoltaic, wind & diesel power for Cox's Bazar 考克斯巴扎尔的光伏、风能和柴油发电并网混合电厂的建模和仿真
K. M. Kabir, A. Nath, S. Mazumder, M. O. Islam
This paper emphasis on establishing a hybrid power plant which consists of two renewable sources photovoltaic, wind energy and non renewable diesel source for the production of energy to contribute national power demand in Bangladesh. Solar power & wind power are our main source and diesel power is used as a standby power. If we will not able to fulfil our target demand, then we will use diesel energy. We consider renewable source because it provides clean energy. On the other hand, non renewable sources such as, oil, coal, gas will finish approximately within next 20 years. So, it is very necessary for us to find out new source of energy to overcome our power crisis. In this proposed system we came up with an idea to establish an environment friendly power plant combining Photovoltaic and wind energy at various sea shores throughout the country. For design and optimization, we have chosen Cox's Bazar sea shore where wind flow is available as well as solar radiation is optimal. The system is connected to national grid for contributing our national electricity demand.
本文的重点是在孟加拉国建立一个由光伏、风能和不可再生柴油两种可再生能源组成的混合发电厂,用于生产能源,以满足国家电力需求。太阳能和风能是我们的主要能源,柴油作为备用电源。如果我们不能满足目标需求,那么我们将使用柴油能源。我们考虑可再生能源,因为它提供清洁能源。另一方面,不可再生能源,如石油、煤炭、天然气将在未来20年内枯竭。因此,我们很有必要寻找新的能源来克服我们的电力危机。在这个提议的系统中,我们提出了一个想法,在全国各地的各个海岸建立一个结合光伏和风能的环保发电厂。在设计和优化方面,我们选择了考克斯的巴扎尔海岸,那里的风力和太阳辐射都是最佳的。该系统与国家电网相连,以满足我国的电力需求。
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引用次数: 9
Analysis of induced electromagnetic fields in a human head phantom by different TMS coil configurations 不同TMS线圈结构对人体头部幻象的感应电磁场分析
Mirza Sanita Haque, Md. Kamal Hosain
The uses of transcranial magnetic stimulation (TMS) for the treatment of psychological disorders and other therapeutically purposes are increasing worldwide. The TMS process becomes popular because of its noninvasive operation method. The stimulation coil play one of the vital role for efficient treatment. In this paper three coils including halo, double cone, and halo and double cone assembly coil are designed, simulated, and evaluated. According to the simulation results, it is found that the halo and double cone assembly coil improves penetration depth and provides greater electric field and magnetic flux. It also gives concentrating electric field inside cortex region. Moreover, the halo coil working with double cone coil provide a flexible way to stimulate the deeper brain region.
在世界范围内,经颅磁刺激(TMS)用于治疗心理障碍和其他治疗目的的应用正在增加。经颅磁刺激术因其无创的操作方法而受到欢迎。刺激线圈在有效治疗中起着至关重要的作用。本文对光晕线圈、双锥线圈和光晕双锥组合线圈三种线圈进行了设计、仿真和评价。仿真结果表明,晕轮和双锥组合线圈提高了穿透深度,提供了更大的电场和磁通量。它还在皮层区域内给出了集中电场。此外,光环线圈与双锥线圈一起工作提供了一种灵活的方式来刺激大脑的深层区域。
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引用次数: 1
Energy cooperation among BS with hybrid power supply for DPS CoMP based cellular networks 基于DPS CoMP的蜂窝网络中BS与混合电源的能源合作
Abu Jahid, A. Shams, Md. Farhad Hossain
Green cellular networking has drawn intensive attention recently for cellular operators in order to reduce the network operation cost and carbon footprints. In this paper, we consider base stations (BSs) powered by hybrid power supplies including both the conventional grid and the renewable solar energy. We propose a model for energy cooperation among BSs having individual energy storages which are connected through resistive power lines for energy sharing. Furthermore, dynamic point selection (DPS) CoMP technique is applied for selecting the best serving BS for users equipment (UE). Our goal is to maximize the green energy utilization leading to higher energy efficiency. Tempo-spatial variations of both the renewable energy generation and the traffic demand are exploited for the proposed BS cooperation. Extensive simulations are carried out for evaluating energy efficiency (EE) performance of the proposed cellular network in conjunction with DPS CoMP technique and energy sharing scheme. From simulation results we investigate the benefits of energy cooperation and effectiveness of CoMP technique in this regime.
为了降低网络运营成本和碳足迹,绿色蜂窝网络最近受到了移动运营商的广泛关注。在本文中,我们考虑由混合电源供电的基站(BSs),包括传统电网和可再生太阳能。我们提出了一个具有单独储能系统的BSs之间的能源合作模型,这些储能系统通过电阻性电力线连接以实现能源共享。在此基础上,应用动态点选择(DPS) CoMP技术为用户设备选择最佳服务基站。我们的目标是最大限度地利用绿色能源,从而提高能源效率。可再生能源发电和交通需求的时空变化被用于拟议的BS合作。结合DPS CoMP技术和能量共享方案,进行了广泛的模拟,以评估所提出的蜂窝网络的能效(EE)性能。从仿真结果出发,探讨了在这种情况下能量合作的效益和CoMP技术的有效性。
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引用次数: 21
A frequency converter control strategy of DFIG based wind turbine to meet grid code requirements 一种满足电网规范要求的基于DFIG的风电机组变频器控制策略
M. Islam, M. Sheikh, Z. Tasneem
Fixed speed wind turbine generator systems suffer from various problems specially in transient conditions. So, in recent years the use of doubly fed induction generators (DFIGs) has increased significantly. DFIGs are sensitive to external faults. However, no attempts have been made to investigate the impact of increasing the carrier frequency of frequency converter/inverter for variable speed wind generators during voltage dip conditions. In this paper a suitable control strategy is developed for frequency converter/inverter to improve the low voltage ride through (LVRT) capability of DFIG based wind turbines. Simulation results indicate that the proposed topology improve the LVRT capability under grid codes. PSCAD/EMTDC software has been used for simulations under real wind speed data.
定速风力发电系统存在各种问题,特别是在瞬态工况下。因此,近年来双馈感应发电机(DFIGs)的使用显著增加。DFIGs对外部故障很敏感。然而,没有尝试调查在电压下降条件下增加变频器/逆变器载波频率对变速风力发电机的影响。本文研究了一种合适的变频器控制策略,以提高DFIG型风力发电机组的低电压穿越能力。仿真结果表明,该拓扑结构提高了LVRT在网格编码下的性能。利用PSCAD/EMTDC软件对实际风速数据进行了模拟。
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引用次数: 5
Performance analysis of multiple relay multi-cellular interference networks 多中继多蜂窝干扰网络的性能分析
T. Jyoti, M. Sarkar, M. Sarkar, T. Alam, Dilip Kumar Sarker
We consider a single-input multiple-output (SIMO) multiple-access channel (MAC) multi-cellular communication scenario in which two base stations having a group of users each, are situated in two adjacent cells. In order to provide cooperative diversity at the base stations (BSs), multiple relays are used. Each group of users transmits information to its corresponding BS directly as well as via relays, but at the same time it provides interference at the BS of adjacent cell. The BSs are equipped with multiple antennas while the users of each group and relays are equipped with single antenna. We are interested to study the capacity of the each base station in both the optimal and normal cases with and without interference. Considering maximal ratio combining (MRC) at the BSs, at first, we derive the expression of combiner output signal-to-interference plus noise ratio (SINR) using optimum weighting vector. Then we use this SINR to calculate the optimal ergodic capacity. Finally, we derive the expression of normal ergodic capacity for both the base stations. Our results show that, optimization of combiner output SINR by weighting vector at the base stations enhances the ergodic capacity in multi-cellular interference channels.
我们考虑一个单输入多输出(SIMO)多址通道(MAC)多蜂窝通信场景,其中两个基站各有一组用户,位于两个相邻的蜂窝中。为了在基站(BSs)上提供合作分集,需要使用多个中继。每一组用户直接或通过中继向其对应的基站发送信息,但同时也对相邻小区的基站提供干扰。BSs采用多天线,而每组和中继的用户采用单天线。我们有兴趣研究在有干扰和无干扰的情况下,每个基站在最优和正常情况下的容量。考虑到BSs处的最大比值组合(MRC),首先利用最优加权向量推导了组合器输出信噪比(SINR)的表达式。然后我们用这个信噪比来计算最优遍历容量。最后,导出了两种基站正常遍历容量的表达式。结果表明,通过加权矢量优化基站的合成器输出信噪比,可以提高多蜂窝干扰信道的遍历能力。
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引用次数: 1
Double compartment microbial fuel cell design using salt bridge as a membrane with sucrose and starch as a substrate 以盐桥为膜,以蔗糖和淀粉为底物的双室微生物燃料电池设计
Sheikh Shehab Uddin, Kazi Shoffiuddin Roni, A. Shatil
Most of the microbial fuel cell (MFC) designs need the separation of the cathode and anode cell by using proton exchange membrane (PEM). The majority used nafion or ultrex CMI-7000 as a PEM. But both of these membranes are too much costly and not too available to use. As an alternate of nafion, we use salt bridge in this study as a PEM which is pervious to other ions & substrate. Different organic materials like sucrose, glucose, starch can be used as substrate. This research paper analyses the performance of a double compartment microbial fuel cell for different substrate concentrations as well as surface area of the chambers with salt bridge as a membrane. Sucrose and starch were treated here as substrate and potassium permanganate was used as electron acceptor. Dhaka city's drain water was utilized as the container of bacteria. Better output was observed for sucrose as substrate due to higher solubility in water than starch.
大多数微生物燃料电池(MFC)设计都需要使用质子交换膜(PEM)来分离阴极和阳极电池。大多数使用国标或超睿CMI-7000作为PEM。但是这两种膜都太贵了,而且不太容易使用。作为一种替代方法,我们在本研究中使用盐桥作为PEM,它可以穿透其他离子和底物。不同的有机物质如蔗糖、葡萄糖、淀粉都可以作为底物。本研究分析了以盐桥为膜的双室微生物燃料电池在不同底物浓度下的性能以及室的表面积。以蔗糖和淀粉为底物,高锰酸钾为电子受体。利用达卡市的排水作为细菌的容器。由于蔗糖在水中的溶解度比淀粉高,因此观察到蔗糖作为底物的产量更好。
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引用次数: 6
Support vector machine for overcoming the problem of vanishing point during stairways detection 支持向量机用于克服楼梯检测中的消失点问题
Md. Khaliluzzaman, K. Deb
Stairways region detection from a stairways image is a challenging activity to support autonomous system and visually impaired people for navigating safely. This paper proposes a framework for investigating the problem of vanishing point during stairways candidate region verification. For that, initially stairways candidate region is detected utilizing the unique natural and geometrical features of stairways. One unique natural feature is three connected point (3CP). This 3CP is formed at every stairways step's horizontal edges end points with stairways step's width and height edge's intersection point. Another geometrical feature is stairways step's edges are exhibited in sorted order. These geometrical features are used to detect stairways candidate region from stairways images. Where, the 3CP geometrical feature of stairways is used to validate the stairways step's horizontal edge segments. After that, the validated stairways edges are justified by computing vanishing point (VP). This justification ensures that the edge segments are arrived in increasing parallel order. Finally, the y coordinate value of VP is utilized to verify the edge segments of stairways from other analogous looking objects and ensure the detection of stairways region. However, in some cases the vanishing point does not distinguish the stairways region from other stairways like objects such as zebra-crossing or rail-line. This paper investigates this problem and verified the stairways candidate region using the SVM classifier where Gabor filters are used to extract the features. Various stair images are utilized to evaluate the proposed framework and presented outcomes demonstrate the adequacy.
从楼梯图像中检测楼梯区域是一项具有挑战性的工作,它支持自主系统和视障人士安全导航。本文提出了一个研究楼梯候选区域验证过程中消失点问题的框架。为此,首先利用楼梯独特的自然和几何特征来检测楼梯候选区域。一个独特的自然特征是三点相连(3CP)。该3CP形成于每个台阶台阶水平边缘端点与台阶台阶宽度和高度边缘交点处。楼梯的另一个几何特征是台阶的边缘是有序排列的。利用这些几何特征从楼梯图像中检测楼梯候选区域。其中,利用楼梯的3CP几何特征对楼梯台阶的水平边缘段进行验证。然后,通过计算消失点(VP)对验证后的楼梯边缘进行验证。这种论证确保边缘段以递增的平行顺序到达。最后,利用VP的y坐标值从其他类似物体中验证楼梯的边缘段,保证楼梯区域的检测。然而,在某些情况下,消失点并不能将楼梯区域与其他楼梯区域(如斑马线或铁路线)区分开来。本文对这一问题进行了研究,利用支持向量机分类器对楼梯候选区域进行了验证,并使用Gabor滤波器提取特征。利用各种楼梯图像来评估所提出的框架,并展示结果证明其充分性。
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引用次数: 0
Sensitivity enhancement of porous silicon based SPR sensor using graphene-M0S2 hybrid structure 石墨烯- m0s2杂化结构增强多孔硅基SPR传感器的灵敏度
M. Rahman, M. B. Hossain, M. Rana
In this paper a theoretical porous silicon surface based plasmon resonance (SPR) sensor has been presented consisting graphene-Melybdenum sulphide (MoS2) hybrid structure for enhancing sensor detection sensitivity. The biosensor uses perfectly matched layer (PML) boundary condition incorporating on its computational domain to improve its surface plasmon resonance characteristics. Here, graphene-MoS2 hybrid sheet is used to detect the refractive index change of the sensor surface, which is cause of the reaction of biomolecules. Our calculations show that the graphene-MoS2 hybrid structure on silicon porous sensor has 25% more sensitivity than the conventional silicon resonant sensor. The enhanced sensitivity is for increasing SPR angle about 25% by adding graphene-MoS2 hybrid structure.
为了提高传感器的探测灵敏度,本文提出了一种由石墨烯-硫化钼(MoS2)杂化结构组成的理论上多孔硅表面等离子体共振(SPR)传感器。该生物传感器采用完全匹配层(PML)边界条件结合其计算域来改善其表面等离子体共振特性。在这里,石墨烯- mos2杂化片被用来检测传感器表面的折射率变化,这是生物分子反应的原因。我们的计算表明,石墨烯- mos2杂化结构的硅多孔传感器的灵敏度比传统的硅谐振传感器高25%。通过添加石墨烯- mos2杂化结构,使SPR角增加约25%,从而提高了灵敏度。
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引用次数: 8
Stock market prediction using an improved training algorithm of neural network 利用改进的神经网络训练算法进行股市预测
M. Billah, S. Waheed, A. Hanifa
Predicting closing stock price accurately is an challenging task. Computer aided systems have been proved to be helpful tool for stock prediction such as Artificial Neural Net-work(ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) etc. Latest research works prove that Adaptive Neuro Fuzzy Inference System shows better results than Neural Network for stock prediction. In this paper, an improved Levenberg Marquardt(LM) training algorithm of artificial neural network has been proposed. Improved Levenberg Marquardt algorithm of neural network can predict the possible day-end closing stock price with less memory and time needed, provided previous historical stock market data of Dhaka Stock Exchange such as opening price, highest price, lowest price, total share traded. Morever, improved LM algorithm can predict day-end stock price with 53% less error than ANFIS and traditional LM algorithm. It also requires 30% less time, 54% less memory than traditional LM and 47% less time, 59% less memory than ANFIS.
准确预测股票收盘价格是一项具有挑战性的任务。人工神经网络(ANN)、自适应神经模糊推理系统(ANFIS)等计算机辅助系统已被证明是库存预测的有效工具。最新的研究表明,自适应神经模糊推理系统在股票预测方面比神经网络具有更好的效果。本文提出了一种改进的人工神经网络Levenberg Marquardt(LM)训练算法。基于神经网络的改进Levenberg Marquardt算法,在提供达卡证券交易所的开盘价、最高价、最低价、总交易量等历史股票市场数据的情况下,可以以更少的内存和时间预测可能的收盘股价。此外,改进的LM算法可以预测收盘股价,比ANFIS和传统LM算法的误差降低53%。它比传统LM节省30%的时间和54%的内存,比ANFIS节省47%的时间和59%的内存。
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引用次数: 53
期刊
2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)
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