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2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)最新文献

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An overview and current development of femtocells in 5G technology 5G飞蜂窝技术综述及发展现状
Mayuri D. Jundhare, A. Kulkarni
This paper provides an overview and current status on the newly developed and quickly changing field of femtocells in 5G. There are lots of development from 1G, 2G, 3G, and 4G to 5G in the world of wireless communications. Recently, 4G has been launched to address current inadequacies of the mobile technology. To take the noteworthy steps forward, the succeeding phase of development is commencing soon which is named as 5G. The self-organisation, mobility management, Interference mitigation, handoffs and security are real challenges in femtocells. Also, the call dropping and poor quality occurs in homes and offices. The solution on these problems is also discussed in this paper.
本文介绍了5G飞蜂窝技术这一新兴的、日新月异的领域的概况和现状。在无线通信领域,从1G、2G、3G、4G到5G都有很多发展。最近,4G已经启动,以解决当前移动技术的不足。为了迈出值得注意的一步,接下来的发展阶段即将开始,被称为5G。自组织、移动性管理、干扰缓解、切换和安全性是飞基站面临的真正挑战。此外,电话掉线和通话质量差也发生在家庭和办公室。本文还对这些问题的解决方法进行了探讨。
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引用次数: 12
A reliable spectrum sensing scheme using sample covariance matrix for cognitive radio 一种可靠的基于样本协方差矩阵的认知无线电频谱感知方案
Chhagan Charan, R. Pandey
In this paper, a reliable spectrum sensing scheme based on sample covariance matrix of received signal at secondary user is proposed. The reliability in terms of sufficient protection to primary user (PU) from the interference caused by secondary user (SU). The energy based spectrum sensing method is highly vulnerable at noise uncertainty and covariance based method overcomes it. However, the performance of existing covariance based method degrades at low signal to noise ratio (SNR). The problem of performance degradation at low SNR is addressed by proposed reliable spectrum sensing scheme. The reliable spectrum sensing method overcomes the low SNR and noise uncertainty problem and outperform the existing spectrum sensing schemes. The simulation results show that the presented method performs better than existing spectrum sensing methods.
本文提出了一种基于二次用户接收信号样本协方差矩阵的可靠频谱感知方案。保证主用户(PU)免受从用户(SU)的干扰。基于能量的频谱传感方法易受噪声不确定性的影响,而基于协方差的方法克服了这一缺点。然而,现有的基于协方差的方法在低信噪比下性能下降。提出了一种可靠的频谱感知方案,解决了低信噪比下的性能退化问题。可靠的频谱感知方法克服了低信噪比和噪声不确定性问题,优于现有的频谱感知方案。仿真结果表明,该方法优于现有的频谱感知方法。
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引用次数: 2
Change detection of urban area using remote sensing 基于遥感的城市区域变化检测
Tushar Rajendra Baviskar, B. Jadhav
The exactness of change detection on surface of earth is vital for comprehension the connections and associations amongst human and normal properties. Remote Sensing and Geographic Information Systems (GIS) can possibly give precise data in regards to land use and Land cover changes. Now days the population of urban area is increasing drastically, to manage the resource of urban areas, automate change detection method using satellite images is estimate. In this system we propose the change detection of urban areas using supervised and unsupervised technique and compare their performance with other state of the art technique. Change vector analysis is convoluted to actualize, however it is important to to demonstrating course and extent of progress. Nowadays, ANN, K mean and Isodata algorithm are used. Zonal change and image differencing have been rarely utilised in change detection. Similarly urban mapping is also possible in change detection and also new research area for change detection. Using remote sensing, we analyze all necessary changes of urban areas and compare with other techniques and validate the result.
地球表面变化检测的准确性对于理解人类与自然属性之间的联系和关联至关重要。遥感和地理信息系统(GIS)可能提供关于土地利用和土地覆盖变化的精确数据。在城市人口急剧增加的今天,为了对城市资源进行管理,提出了利用卫星图像自动变化检测的方法。在该系统中,我们提出了使用监督和非监督技术对城市区域进行变化检测,并将其性能与其他最新技术进行了比较。变更向量分析的实现是复杂的,但是它对展示进展的过程和程度是很重要的。目前主要采用人工神经网络、K均值和等数据算法。区域变化和图像差分技术在变化检测中应用较少。同样,城市制图在变化检测中也有可能,这也是变化检测的一个新的研究领域。我们利用遥感分析了所有必要的城市区域变化,并与其他技术进行了比较,验证了结果。
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引用次数: 0
Text to Scene conversion for smart learning 文本到场景的智能学习转换
Rehana Delair, Hiral Sojitra, Krupa Patel, Krupa Bhatt, Kinjal N. Gharia, Rutal Mahajan
Text to Scene conversion system automatically converts the given natural language text in to its visual representation such as readymade image, composite scene or animation. Natural language is a language in which we, humans interact with each other. We have built a system which converts the natural language text into the composite scene. It basically converts the sentences with spatial relationships into virtual scene. It involves the natural language processing and 3D computer graphics techniques. System consists of two main modules: text processing module and graphics module. Text processing module plays an important role. It processes the text given by user and finds the objects to create the scene. Graphics module takes this information as input and generates scene by placing those objects in relative position. As students can understand the concepts easily with the visualization, we have proposed a system of text to scene conversion to visualize maths problems, which can be useful to understand the problem statement and solve it. Application of this system in education domain can be useful in developing efficient methodology.
文本到场景转换系统自动将给定的自然语言文本转换为其视觉表示形式,如现成的图像,合成场景或动画。自然语言是我们人类相互交流的语言。我们建立了一个将自然语言文本转换为合成场景的系统。它基本上将具有空间关系的句子转换为虚拟场景。它涉及自然语言处理和三维计算机图形技术。系统主要由两个模块组成:文本处理模块和图形处理模块。文本处理模块起着重要的作用。它处理用户给出的文本,并找到创建场景的对象。图形模块将这些信息作为输入,并通过将这些物体放置在相对位置来生成场景。由于可视化可以使学生更容易地理解概念,我们提出了一种将数学问题可视化的文本到场景转换系统,这有助于理解问题陈述并解决问题。该系统在教育领域的应用有助于制定有效的教学方法。
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引用次数: 3
Secured Cloud data sharing using auditable Aggregate key 使用可审计聚合键的安全云数据共享
P. Pol, Amrit Priyadarshi
In Cloud computing and integrity privacy play vital role. Key Aggregation, offer integrity and privacy to user without involving key information each other and every file. Paper follows asymmetric key management, all the information followed by public key encryption. The valid user can access their information using their private key and the global secret key information which is regulate during or after authentication process. System does not bother if secrete key either hack, the intruder cannot access the data while it can be decrypted only by using a private key. Here is no importance to send associate key and its file. All data will be encrypted by the global Secret Key. So data will be protected at a cloud place. Consumers who need file or information will access the data using their private key so file and its key not required.
在云计算和完整性中,隐私起着至关重要的作用。密钥聚合,为用户提供完整性和隐私,而不涉及彼此和每个文件的密钥信息。论文遵循非对称密钥管理,所有信息遵循公钥加密。合法用户可以使用他们的私钥和在身份验证过程中或之后调节的全局密钥信息访问他们的信息。系统不会因为私钥被破解而烦恼,入侵者无法访问数据,而只有使用私钥才能解密数据。这里不重要发送关联密钥及其文件。所有数据将被全局密钥加密。所以数据将被保护在云端。需要文件或信息的用户将使用其私钥访问数据,因此不需要文件及其密钥。
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引用次数: 0
Ultra-low power comb filter 超低功率梳状滤波器
C. Choubey, A. Sahani, S. K. Paul
This paper presents the design of a dynamic threshold voltage MOS transistor (DTMOS) based ultra-low power comb filter to eliminate the power line interference from biomedical signals like ECG and EEG signals. The approach used to design the comb filter successfully demonstrates the application of low power second generation current conveyor (CCII) whose power consumption is as low as 0.214µW. In this approach, a number of inverted band pass filters (IBPFs) of various center frequencies and quality factors have been used. All Inverted Band Pass Filters have been designed using low power CCII and passive components (resistors and capacitors). The DTMOS technique used makes the comb circuit capable of working under a low supply voltage with total power consumption of 7.54µW only. The functionality and effectiveness of the presented design is investigated through PSPICE simulations.
本文设计了一种基于动态阈值电压MOS晶体管(DTMOS)的超低功率梳状滤波器,以消除来自ECG和EEG等生物医学信号的电力线干扰。梳状滤波器的设计方法成功地展示了低功耗第二代电流输送机(CCII)的应用,其功耗低至0.214µW。在这种方法中,使用了许多不同中心频率和质量因子的反向带通滤波器(ibpf)。所有反向带通滤波器都采用低功率CCII和无源元件(电阻和电容器)设计。使用DTMOS技术使得梳状电路能够在低电源电压下工作,总功耗仅为7.54 μ W。通过PSPICE仿真研究了该设计的功能和有效性。
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引用次数: 2
LabVIEW controlled robot for object handling using NI myRIO 利用LabVIEW控制机器人进行物体处理
Y. Angal, Anita Gade
There is significant interest in industry, library and warehouse automation, which frequently involves pick-and-place tasks for products located in shelving units. This system identifies the object, picks that object from source location and places at desired location. The objective of this paper is to control robotic arm using NI myRIO. In industry we need labour for handling and movement of objects. To defeat this problem we suggest robotic arm with degrees of freedom. To implement above mentioned tasks we have used National Instruments myRIO model which has wide variety of sensors, actuators, and displays. The myRIO is control unit of this system. A robot is virtual agent, usually an electromechanical device that is guided by LabVIEW programming. This system has tested for library management application.
人们对工业、图书馆和仓库自动化非常感兴趣,这些自动化经常涉及货架上产品的取放任务。该系统识别对象,从源位置选择该对象并将其放置在所需位置。本文的目标是利用NI myRIO对机械臂进行控制。在工业中,我们需要劳动力来搬运和移动物品。为了解决这个问题,我们提出了带有自由度的机械臂。为了实现上述任务,我们使用了美国国家仪器公司的myRIO模型,该模型具有各种各样的传感器,执行器和显示器。myRIO是该系统的控制单元。机器人是一种虚拟的智能体,通常是由LabVIEW编程引导的机电设备。本系统已测试用于图书馆管理应用。
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引用次数: 10
A generalized Neuro-Fuzzy Based Image Retrieval system with modified colour coherence vector and Texture element patterns 基于改进颜色相干向量和纹理元素模式的广义神经模糊图像检索系统
D. B. Kshirsagar, U. Kulkarni
A generalized Neuro-Fuzzy Content Based Image Retrieval (CBIR) system is proposed. The system is trained using General Reflex Fuzzy Min-Max Neural Network (GRFMN) where it can take any number and type of different input features. The existing architecture is simplified and the system is trained in pure clustering mode for colour and texture features. The concept of class labels assigned for each hyperbox after unsupervised training adds the flexibility and robustness. By controlling user defined parameters, the system can categorize images as per the users need. With modifications in bucket size and connecting components better coherency is added to understand the colour contents of the image. Further with selected texture element patterns derived from Texture Unit Spectrum (TUS), better feature vector is obtained for training the GRFMN. With this improved feature extraction combining heterogeneous features, the proposed CBIR system gives an efficient automated retrieval of similar images.
提出了一种基于广义神经模糊内容的图像检索系统。该系统使用通用反射模糊最小-最大神经网络(GRFMN)进行训练,该网络可以接受任意数量和类型的不同输入特征。对现有的体系结构进行了简化,并对系统进行了颜色和纹理特征的纯聚类训练。在无监督训练后为每个hyperbox分配类标签的概念增加了灵活性和鲁棒性。通过控制用户自定义的参数,系统可以根据用户的需要对图像进行分类。通过对桶大小和连接组件的修改,增加了更好的一致性,以理解图像的颜色内容。进一步利用从纹理单元谱(TUS)中提取的纹理元素模式,得到更好的特征向量用于训练GRFMN。利用这种结合异构特征的改进特征提取方法,本文提出的CBIR系统可以有效地自动检索相似图像。
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引用次数: 9
Modified GA method for variable ordering in BDD for MIMO digital circuits MIMO数字电路BDD变序的改进遗传算法
M. B. Siddiqui, S. N. Ahmad, M. Beg
Reduced Ordered Binary Decision Diagram (also called ROBDD or simply BDD) are graphical representation of Boolean functions, which can be easily manipulated using modern VLSI CAD tools. The order of input variables has a considerable effect on the size of the constructed BDD. Many algorithmic approaches have been proposed to find the optimal variable ordering. In this paper, a new modified genetic algorithm based method for variable ordering is proposed which use different modified crossover and modified mutation operators. The results have shown that the proposed method yields a good improvement in the size of the BDD constructed for many digital benchmark circuits.
简化有序二值决策图(也称为ROBDD或简称BDD)是布尔函数的图形表示,可以使用现代VLSI CAD工具轻松操作。输入变量的顺序对构造的BDD的大小有相当大的影响。已经提出了许多算法方法来寻找最优变量排序。本文提出了一种新的基于改进遗传算法的变量排序方法,该方法使用了不同的改进交叉算子和改进变异算子。结果表明,所提出的方法对许多数字基准电路构建的BDD的尺寸有很好的改善。
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引用次数: 2
Priority based emergency message forwarding scheme for time critical models in VANET 基于优先级的VANET时间关键模型紧急消息转发方案
Sudarshana A. Abbad, S. Godse
In the era computing, there is huge research is going in VANET since last few years. VANET is ad-hoc communication network which is formed by connecting vehicles. The navigation system needs to be more intelligent at the same time security should not be compromised. The comprehensive literature survey shows there is a need for intelligent and secure navigation system. There are lots issues need to address. This paper proposes a navigation system that efficiently works in real time scenario. In the proposed architecture some security aspects also considered like authentication, confidentiality and privacy of vehicle and driver. The performance of proposed system evaluated against QoS parameter. In proposed system find shortest path of vehicle depend on real road condition, therefore it display shortest path by skipping accidental road. It also provides priority to broadcast message.
在计算机时代,近年来对VANET进行了大量的研究。VANET是连接车辆形成的自组织通信网络。导航系统需要更加智能,同时不应损害安全性。综合文献调查表明,智能、安全的导航系统是有需求的。有很多问题需要解决。本文提出了一种能够在实时场景下高效工作的导航系统。在提出的体系结构中,还考虑了车辆和驾驶员的身份验证、机密性和隐私性等安全方面的问题。根据QoS参数对系统性能进行评价。该系统根据实际路况找到车辆的最短路径,从而跳过意外道路显示最短路径。它还提供广播消息的优先级。
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引用次数: 4
期刊
2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)
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