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2012 Fourth International Conference on Advanced Computing (ICoAC)最新文献

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Missing value imputation techniques depth survey and an imputation Algorithm to improve the efficiency of imputation 缺失值估算技术深度测量和一种提高估算效率的估算算法
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416805
S. Thirukumaran, A. Sumathi
Missing data in Medical database is an issue which makes lose of data integrity, solution for missing value is imputing the relevant value for every missing value(here data and value takes same meaning) it is the scope of imputation and it gives the data integrity. According to the title so many imputation Techniques available. This paper aims to describe the depth survey of types of imputation techniques and which is categorized in the form of table with the attributes like Technique, Description, when to be used, Advantages, disadvantages, Almost different imputation Techniques ideas were exposed in this paper after detailed study. After feasible study here we exposed the concept to improve the imputation technique more worthy than other techniques that Clustering imputation Algorithm proposed which reduce the error rate of imputed value for missing data into Medical database and makes the imputation perfect to the maximum level. And the results elaborates the reduced error rate for dataset of 786 samples with 8 features.
医学数据库中数据缺失是导致数据完整性丧失的一个问题,缺失值的解决方法是对每一个缺失值进行相关值的代入(这里数据和值的含义相同),这是代入的范围,它赋予了数据完整性。根据标题这么多的imputation技术可用。本文的目的是对各种代入技术的种类进行深入调查,并以表的形式进行分类,以技术、描述、何时使用、优点、缺点等属性进行分类,通过详细的研究,揭示出几乎不同的代入技术思想。本文通过可行性研究,提出了比聚类算法提出的其他技术更值得改进的概念,降低了医学数据库中缺失数据的输入值错误率,最大限度地完善了输入。结果阐述了在包含8个特征的786个样本数据集上降低的错误率。
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引用次数: 27
“An energy-efficient and enhanced QoS aware of MAC application specific protocol in the distributed Wireless Sensor Networks” 分布式无线传感器网络中MAC应用特定协议的节能和增强的QoS感知
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416796
S. Nirmala, R. Nallusamy
The development of a reliable and energy-efficient protocol stack is important for supporting various WSNs applications. The penalty is increased complexity of the central node. This is a major problem because the central node is expected to have significantly more power and processing resources. On the distributed case, the coordinator (Distributed Coordination Function) only sends the active nodes to the sensors to keep the reliability and consumes less energy. As a result of this analysis, distributed mechanisms for QoS in WSNs built which extend wide area applications. This paper presents an energy-efficient aware of MAC application specific protocol with enhanced, integrated type in the distributed environment. Let to study the significant procedures for energy reduction compared to the available MAC protocols by cluster head election schemes as per the coverage issues. Most specifically, the cross-layer effects of routing, medium access, physical layers are considered. The proposal concentrates to point out and identifies the key problems of distributed MAC algorithm such as SLCH and MLCH election schemes focus towards the energy-efficiency designed for Wireless Sensor Networks (WSNs) with lemmas and theorems along with coverage strategies.
开发可靠、节能的协议栈对于支持各种无线传感器网络应用非常重要。代价是增加了中心节点的复杂性。这是一个主要问题,因为预计中心节点将拥有更多的功率和处理资源。在分布式情况下,协调器(分布式协调函数)只将活动节点发送给传感器,保证了系统的可靠性,减少了能耗。在此基础上,建立了面向广域应用的分布式无线传感器网络QoS机制。本文提出了一种在分布式环境下具有增强型、集成型、节能意识的MAC专用协议。让我们根据覆盖问题研究簇头选举方案相对于可用MAC协议的重要节能程序。最具体地说,考虑了路由、介质访问、物理层的跨层影响。针对SLCH和MLCH等分布式MAC算法中存在的关键问题,提出了基于引理和定理的无线传感器网络(WSNs)能效设计和覆盖策略。
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引用次数: 10
A comparative study of the performance of precoded MIMO using Trellis and STBC 栅格和STBC预编码MIMO性能的比较研究
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416863
C. Arunachalaperumal, S. D. Kumar, C. Arun
Spatial modulation is a transmission technique that uses multiple antennas. It involves mapping of a block of information bits to two information carrying units, as a symbol chosen from constellation diagram and a unique transmit antenna number. The importance of Spatial modulation is that it increases overall spectral efficiency. In this paper we show the performance comparison of MIMO using Trellis Coded Spatial modulation, Space Time Block Coded Spatial modulation and New Trellis Coded Spatial modulation. And performance of each coding systems yields slightly different values. TCM concept is utilized to combat performance degradation of Spatial modulation in correlated channel conditions. Whereas the STBC-SM scheme is useful for high-rate, low complexity, emerging wireless communication systems such as LTE and WiMAX. The New SM-TC scheme offers significant error performance improvements over alternatives while having a lower decoding complexity for 2, 3, and 4 bits/s/Hz transmissions.
空间调制是一种使用多天线的传输技术。它涉及到将一个信息位块映射到两个信息承载单元,作为从星座图中选择的符号和唯一的发射天线号。空间调制的重要性在于它提高了整体的频谱效率。在本文中,我们展示了使用栅格编码空间调制,时空块编码空间调制和新栅格编码空间调制的MIMO性能比较。每个编码系统的性能产生的值略有不同。利用TCM概念来对抗相关信道条件下空间调制的性能下降。而STBC-SM方案则适用于高速率、低复杂度、新兴的无线通信系统,如LTE和WiMAX。新的SM-TC方案提供了显著的错误性能改进,同时具有较低的解码复杂性,为2,3和4比特/秒/赫兹传输。
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引用次数: 4
Immersive virtual reality for pain distraction methodologies and barriers 沉浸式虚拟现实的疼痛分散方法和障碍
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416835
Shanmugam Sridevi
A novel method for managing and treating physical and psychological pain is the need of the hour. Although cybertherapy is at its development stage, a great potential can be reaped when it is moulded in the right way. Clinical virtual reality is found to be a promising way of distracting the patients from sensing the pain during medical procedures, physical rehabilitation or post-traumatic stress. There exists no single pain management methodology that is good for everyone, or even the majority of people. Research findings prove that pain has many causes and courses, and can impact individuals in a multitude of ways including the behavioral, physiological, emotional, psychological, social and spiritual levels. Though distraction through audio visual aids has a significant effect in decreasing the intensity of pain signals in the brain, the analgesic efficacy has to be well researched and improved. The perception of pain varies with factors such as age, ethnicity, sex and genetics. Increased nervousness of patients in virtual world, patients' confidentiality, subjectivity in effectiveness on individuals, array of pains to be handled with a single virtual platform and cost are the major barriers to be tackled. This paper discusses ways of providing such generic, acceptable and proven methods of cybertherapy. Such virtually painless world shall be greatly achieved only with close cooperation between technologists and medical experts.
一种管理和治疗生理和心理疼痛的新方法是当前的需要。虽然网络治疗还处于发展阶段,但只要塑造得当,就能发挥出巨大的潜力。临床虚拟现实被认为是一种很有前途的方法,可以分散患者在医疗过程、身体康复或创伤后应激过程中的疼痛感。没有一种单一的疼痛管理方法适用于所有人,甚至是大多数人。研究结果证明,疼痛有许多原因和过程,并能以多种方式影响个人,包括行为、生理、情感、心理、社会和精神层面。虽然通过视听辅助分散注意力在降低大脑疼痛信号强度方面有显著效果,但其镇痛效果还有待进一步研究和提高。对疼痛的感知因年龄、种族、性别和基因等因素而异。患者在虚拟世界中的紧张情绪增加,患者的保密性,个体有效性的主观性,单一虚拟平台需要处理的一系列痛苦以及成本是需要解决的主要障碍。本文讨论了提供这种通用的、可接受的和被证明的网络治疗方法的方法。只有在技术专家和医学专家的密切合作下,这种几乎无痛的世界才能大大实现。
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引用次数: 0
Design of algorithm for vehicle identification by number plate recognition 基于车牌识别的车辆识别算法设计
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416823
P. Vijayalakshmi, M. Sumathi
Design of an algorithm for vehicle identification by recognizing the number plate is presented. This new vehicle identification technique consists of vehicle detection, plate localization and character recognition. Here, Genetic algorithm (GA) is employed at two levels: for detecting vehicle from traffic image and recognizing character from the number plate. Detection is based on contour and shape information. GA controls the window size to capture each vehicle in a separate widow. Connectivity and adjacency concepts are used to locate and extract number plate and its characters. A digital board (DB) with window panes is introduced to recognize each character uniquely. GA is adopted at the second level to map character pixels into the window panes as lines. For each character in the number plate, distinct feature vector is computed. Finally, a feature based matching is adopted for character recognition. Experiments have been conducted with images taken from various scenes and conditions and the detection rate is found to be 92.5 %. Experiments have conducted for recognition with LPR images taken at different conditions and the recognition rate is found to be 91 %. Detection time is linear function of number of objects in the input image. Potential applications include provisioning of vehicle parking facilities and campus security system for permitting authorized vehicles into the premises.
提出了一种基于车牌识别的车辆识别算法。这种新的车辆识别技术包括车辆检测、车牌定位和字符识别。本文将遗传算法应用于两个层面:从交通图像中检测车辆和从车牌中识别字符。检测是基于轮廓和形状信息。GA控制窗口大小,以捕获每个车辆在一个单独的寡妇。利用连通性和邻接性概念对车牌及其字符进行定位和提取。引入带窗口窗格的数字板(DB)来唯一识别每个字符。在第二级采用遗传算法将字符像素作为线条映射到窗口窗格中。对于车牌中的每个字符,计算不同的特征向量。最后,采用基于特征的匹配方法进行字符识别。对不同场景和条件下的图像进行了实验,检测率为92.5%。对不同条件下的LPR图像进行了识别实验,识别率达到91%。检测时间是输入图像中物体数量的线性函数。潜在的应用包括提供车辆停放设施和校园保安系统,允许授权车辆进入场地。
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引用次数: 14
On design and applications of digital differentiators 数字微分器的设计与应用
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416802
B. T. Krishna, S. S. Rao
This paper deals with the design and applications of digital differentiators. For real time applications it is mandatory that a differentiator should have as small an order as possible. Different procedures available for the design of FIR and IIR type digital differentiators are presented. The IIR Type digital differentiators are obtained by inversion and magnitude stabilization of the existing digital integrators. In some applications like controls, waveshaping, oscillators and communications require a constant 90° phase for differentiators. In this paper an attempt is made to study about the variation of phase angle of digital differentiators with the application of fractional delay. The use of digital differentiators for the detection of edges in an image, QRS detection in an ECG signal is illustrated. It has been observed that the digital differentiators have shown superior performance compared to the well known gradient method. With the proven efficiency of the differentiators in various applications, they have been implemented in hardware using Verilog.
本文介绍了数字微分器的设计和应用。对于实时应用程序,微分器必须具有尽可能小的阶数。介绍了FIR型和IIR型数字微分器的不同设计方法。IIR型数字微分器是通过对现有数字积分器进行反演和稳幅得到的。在某些应用中,如控制,整形,振荡器和通信,需要恒定的90°相位用于微分器。本文尝试研究分数阶延迟对数字微分器相位角变化的影响。使用数字微分器的边缘检测图像,QRS检测在心电信号说明。已经观察到,与众所周知的梯度方法相比,数字微分器表现出优越的性能。由于在各种应用中证明了微分器的效率,它们已使用Verilog在硬件中实现。
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引用次数: 31
Coordinator based advanced reservation and ranking for cloud resources 基于协调器的云资源高级预订和排名
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416836
M. L. Kantham
In order to provide the user's quality of service, the service level agreement between the customers and providers should be satisfied. However the resources available in a single datacenter are limited. Thus if a large demand is observed in a given time, a cloud provider is not able to deliver a uniform QoS. To avoid this scenario, I enable the application to scale it across multiple independent cloud datacenters by forming federated clouds. In such a case, from the customer's point of view it is always difficult to decide whose resources they should use. To handle this case a ranking mechanism is proposed which measures the quality and prioritize the cloud resources. In this work I propose a framework and mechanism for coordinator based advance reservation and ranking of cloud resources which allows the users to book resource in advance. Advance reservation provides guaranteed delivery of resources to the right customers at the right time.
为了提供用户的服务质量,必须满足客户和提供商之间的服务水平协议。但是,单个数据中心中可用的资源是有限的。因此,如果在给定时间内观察到大量需求,云提供商就无法提供统一的QoS。为了避免这种情况,我通过形成联邦云,使应用程序能够跨多个独立的云数据中心进行扩展。在这种情况下,从客户的角度来看,总是很难决定他们应该使用谁的资源。为了解决这种情况,提出了一种衡量云资源质量和优先级的排序机制。在这项工作中,我提出了一个基于协调器的云资源提前预订和排序的框架和机制,允许用户提前预订资源。提前预订可以保证在正确的时间将资源交付给正确的客户。
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引用次数: 1
An efficient programming rule extraction and detection of violations in software source code using neural networks 利用神经网络对软件源代码中的编程规则进行高效提取和违规检测
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416837
A. Pravin, S. Srinivasan
The larger size and complexity of software source code builds many challenges in bug detection. Data mining based bug detection methods eliminate the bugs present in software source code effectively. Rule violation and copy paste related defects are the most concerns for bug detection system. Traditional data mining approaches such as frequent Itemset mining and frequent sequence mining are relatively good but they are lacking in accuracy and pattern recognition. Neural networks have emerged as advanced data mining tools in cases where other techniques may not produce satisfactory predictive models. The neural network is trained for possible set of errors that could be present in software source code. From the training data the neural network learns how to predict the correct output. The processing elements of neural networks are associated with weights which are adjusted during the training period.
软件源代码的较大规模和复杂性给bug检测带来了许多挑战。基于数据挖掘的bug检测方法可以有效地消除软件源代码中存在的bug。规则违反和复制粘贴相关的缺陷是bug检测系统最关心的问题。传统的数据挖掘方法,如频繁项集挖掘和频繁序列挖掘,虽然性能较好,但在准确性和模式识别方面存在不足。在其他技术可能无法产生令人满意的预测模型的情况下,神经网络已经成为先进的数据挖掘工具。神经网络是针对软件源代码中可能出现的一系列错误进行训练的。从训练数据中,神经网络学习如何预测正确的输出。神经网络的处理元素与权值相关联,权值在训练期间进行调整。
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引用次数: 12
Scalability issues in cloud computing 云计算中的可伸缩性问题
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416865
T. Somasundaram, V. Prabha, M. Arumugam
The following topics are dealt with: ad hoc & sensor networks; agent based systems; autonomous computing; body area network; cloud computing; cluster computing; compiler optimizations; data mining; digital image computing; distributed databases; e-learning; e-commerce; e-governance; green IT; grid computing; image processing; intelligent agents; knowledge management; theoretical computer science; virtualization; machine learning; mobile computing; multicore architecture; multimedia streaming; natural language processing; network security; network management; neural networks; parallel computing; pattern recognition; pervasive computing; power aware computing; semantic Web; service oriented architecture; soft computing; software architecture; social computing; storage management; ubiquitous computing; and Web intelligence.
处理以下主题:ad hoc &传感器网络;基于代理的系统;自主计算;体域网络;云计算;集群计算;编译器优化;数据挖掘;数字图像计算;分布式数据库;在线学习;电子商务;电子政务;绿色;网格计算;图像处理;智能代理;知识管理;理论计算机科学;虚拟化;机器学习;移动计算;多核架构;多媒体流;自然语言处理;网络安全;网络管理;神经网络;并行计算;模式识别;普适计算;功率感知计算;语义网;面向服务的体系结构;软计算;软件架构;社会计算;存储管理;无处不在的计算;以及网络智能。
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引用次数: 4
Fingerprint based license checking for auto-mobiles 基于指纹的汽车牌照检查
Pub Date : 2012-12-01 DOI: 10.1109/ICOAC.2012.6416814
J. A. Rubella, M. Suganya, K. Senathipathi, B. Kumar, K. R. Gowdham, M. Ranjithkumar
Driving license system is a very difficult task for the government to monitor. In this project, all the citizens' images will scan and recorded. Whenever a citizen crosses the traffic rules, the police can scan his image and can collect penalty / fine from the defaulter. Using this method, the police can track the history of the driver. This biometric based driving license monitoring system is very easy and convenient to monitor. According ancient Greek scripts BIOMETRICS means study of life. Biometrics studies commonly include fingerprint, face, iris, voice, signature, and hand geometry recognition and verification. Many other modalities are in various stages of development and assessment. Among these available biometric traits Finger Print proves to be one of the best traits providing good mismatch ratio and also reliable. Registering the attendances of students has become a hectic work as sometimes their attendance may be registered or missed. To overcome this problem i.e. to get the attendances registered perfectly we are taking the help of two different technologies viz. EMBEDDED SYSTEMS and BIOMETRICS.
驾照制度是政府监管的一项非常艰巨的任务。在这个项目中,所有市民的图像都将被扫描和记录。每当市民违反交通规则时,警察可以扫描他的图像,并向违规者收取罚款。使用这种方法,警方可以追踪司机的历史。基于生物识别技术的驾驶证监控系统具有简单、方便的特点。根据古希腊文字,BIOMETRICS意味着对生命的研究。生物识别研究通常包括指纹、面部、虹膜、声音、签名和手的几何形状识别和验证。许多其他模式正处于不同的发展和评估阶段。在这些生物特征特征中,指纹特征被证明是最佳特征之一,具有良好的错配率和可靠性。登记学生出勤已成为一项繁忙的工作,有时他们的出勤可能会登记或错过。为了克服这个问题,也就是为了完美地登记出席人数,我们正在采用两种不同的技术,即嵌入式系统和生物识别技术。
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引用次数: 20
期刊
2012 Fourth International Conference on Advanced Computing (ICoAC)
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