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2012 15th International Conference on Computer and Information Technology (ICCIT)最新文献

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Electrical load forecasting using echo state network 基于回声状态网络的电力负荷预测
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509763
M. Jubayer, Alam Rabin, Md. Safayet Hossain, Md. Solaiman Ahsan, Md Abu, Shahab Mollah, Enamul Kabir, M. Shahjahan
An algorithm for half hourly electrical load forecasting based on echo state neural networks (ESN) is proposed in this paper. Electrical load forecasting is one of the most challenging real life time series prediction problems. This demands a dynamic network. ESN is a new epitome for using recurrent neural networks (RNNs) with a simpler training method. Several versions of ESN are discussed. The load profile is treated as time series signal. The forecasting performance of ESN is analysed on the basis of its key parameters. ESN is compared with feed forward neural network (FNN) and Bagged Regression trees. Simulation results demonstrate that the proposed ESN algorithms can obtain more accurate forecasting results than the FNN and Bagged Regression trees.
提出了一种基于回声状态神经网络(ESN)的半小时电力负荷预测算法。电力负荷预测是现实生活中最具挑战性的时序预测问题之一。这需要一个动态的网络。回声状态网络(ESN)是递归神经网络(rnn)的一个新缩影,它的训练方法更简单。讨论了ESN的几个版本。将负荷曲线作为时间序列信号处理。根据回声状态网络的关键参数,分析了回声状态网络的预测性能。将回声状态网络与前馈神经网络(FNN)和Bagged回归树进行了比较。仿真结果表明,所提出的回声状态网络算法比FNN和Bagged回归树能获得更准确的预测结果。
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引用次数: 3
Design and performance analysis of ultra wideband Inverted-F antenna for Wi-Fi, WiMAX, WLAN and military applications 用于Wi-Fi、WiMAX、WLAN和军事应用的超宽带倒f天线设计与性能分析
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509732
Fahim Rashid, Md. Mashud Mustafiz, M. K. Ghosh, S. Hossain
In this manuscript a modified Inverted-F antenna (IFA) is designed to serve the purposes of mobile WiMAX, Wi-Fi, WLAN as well as military applications. The main intension of this work is to propose an ultra wideband antenna for multi-serving purposes with good return loss characteristics, high gain as well as impedance matched and good radiation characteristics. An ultra wideband antenna (modified double IFL antenna) is proposed which bandwidth is 2.16 GHz (3.34–5.5 GHz) serving for WiMAX (3.4–3.6 GHz), Wi-Fi (5.15–5.35 GHz), WLAN (5.15–5.35 GHz) and military (4.4–4.8 GHz) applications. The proposed antenna is of good gain and good radiation characteristics. As the dimension of the proposed antenna is very small, the antenna is promising to be embedded within the different portable devices employing Wi-Fi/ mobile WiMAX applications.
在这份手稿中,一种改进的倒角f天线(IFA)被设计用于移动WiMAX、Wi-Fi、WLAN以及军事应用。本工作的主要目的是提出一种具有良好回波损耗特性、高增益、阻抗匹配和良好辐射特性的多服务超宽带天线。提出了一种带宽为2.16 GHz (3.34-5.5 GHz)的超宽带天线(改进的双IFL天线),用于WiMAX (3.4-3.6 GHz)、Wi-Fi (5.15-5.35 GHz)、WLAN (5.15-5.35 GHz)和军事(4.4-4.8 GHz)应用。该天线具有良好的增益和辐射特性。由于该天线的尺寸非常小,因此有望嵌入到采用Wi-Fi/移动WiMAX应用程序的不同便携式设备中。
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引用次数: 4
Night mode face recognition using adaptively weighted sub-pattern PCA 基于自适应加权子模式PCA的夜间模式人脸识别
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509708
Md. Zahangir Alom, Arif Khan, Rubel Biswas, Mumit Khan
The face recognition problem is made difficult by the great variability in head rotation and tilt, lighting intensity and angle, facial expression, aging, partial occlusion (e.g. Wearing Hats, scarves, glasses etc.), etc. Principal components from the face space are used for face recognition to reduce dimensionality of database images. However, this paper discusses on adaptively weighted sub-pattern PCA (Aw-SpPCA) based face recognition system for dark images that have captured at night. It is really difficult to capture good quality picture at night for lacking of light source with traditional acquisition devices like camera or mobile phone. The computational photographic concepts have been applied to enhance the quality of the capture images at night automatically. Multi-scale retinex color restorations (MSRCR) technique has been applied for overcome this problem. Moreover, for recognition phase of this propose method, unlike PCA based on a whole image pattern, Aw-SpPCA operates directly on its sub patterns partitioned from an original whole pattern and separately extracts features from them. Aw-SpPCA can adaptively compute the contributions of each part and then endows them to a classification task in order to enhance the robustness to both expression and illumination variations. Experimental results show that the proposed method is competitive.
由于头部旋转和倾斜、光照强度和角度、面部表情、年龄、部分遮挡(例如戴帽子、围巾、眼镜等)等方面的巨大变化,人脸识别问题变得困难。利用人脸空间中的主成分进行人脸识别,降低数据库图像的维数。然而,本文讨论了一种基于自适应加权子模式主成分分析(Aw-SpPCA)的人脸识别系统。传统的采集设备,如相机或手机,由于缺乏光源,在夜间很难捕捉到高质量的图像。应用计算摄影的概念,自动提高夜间采集图像的质量。多尺度视网膜颜色恢复(MSRCR)技术被应用于克服这一问题。此外,在该方法的识别阶段,与基于整体图像模式的PCA不同,Aw-SpPCA直接对从原始整体模式中分割出来的子模式进行操作,并分别从中提取特征。Aw-SpPCA可以自适应地计算每个部分的贡献,然后赋予它们分类任务,以增强对表达和光照变化的鲁棒性。实验结果表明,该方法具有一定的竞争力。
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引用次数: 2
Synthesizing fault tolerant safety critical systems 综合容错安全关键系统
Pub Date : 2012-12-01 DOI: 10.4304/jcp.9.8.1809-01816
Seemanta Saha, M. S. Sadi
To keep pace with today's nano-technology, safety critical embedded systems are becoming less tolerant to errors. Research into techniques to cope with errors in these systems has mostly focused on transformational approach, replication of hardware devices, parallel program design, component based design and/or information redundancy. It would be better to tackle the issue early in the design process that a safety critical system never fails to satisfy its strict dependability requirements. A novel method is outlined in this paper that proposes an efficient approach to synthesize safety critical systems. The proposed method outperforms dominant existing work by introducing the technique of run time detection and completion of proper execution of the system in presence of faults.
为了跟上当今纳米技术的步伐,安全关键型嵌入式系统对错误的容忍度越来越低。对处理这些系统错误的技术的研究主要集中在转换方法、硬件设备的复制、并行程序设计、基于组件的设计和/或信息冗余。最好在设计过程的早期就解决这个问题,确保安全关键系统永远不会无法满足其严格的可靠性要求。本文提出了一种新的安全关键系统综合方法。该方法通过引入运行时间检测技术,在存在故障的情况下完成系统的正确执行,从而超越了现有的主流工作。
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引用次数: 3
Obstacles invariant navigation of an autonomous robot based on GPS 基于GPS的自主机器人障碍物不变性导航
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509782
Md. Abdullah Al Ahasan, S. A. Hossain, Ahsan Ullah Siddiquee, Md. Mahbubur Rahman
Robotics has a momentous features and application in our daily life. It can make our life faster easier and comfortable. Many researchers around the world are trying to develop an effective robotic system for household or industrial equipment management purposes. Global positioning System (GPS) is good for reaching high accuracy techniques to track the equipment current position. Motivating from this works in this paper we proposed the design and development of a prototype system which is based on GPS navigation and IR sensor for detecting and avoiding obstacle in dynamic context. As per the initial experimentation, we found out that the proposed approach of obstacle avoiding mechanism is appealing and useful to the user. Some of the potential applications of the proposed system include household appliances or hospital apparatus movement and children guidance.
机器人技术在我们的日常生活中有着重要的特点和应用。它可以使我们的生活更快,更容易和舒适。世界各地的许多研究人员都在努力开发一种有效的家庭或工业设备管理机器人系统。全球定位系统(GPS)是一种高精度跟踪设备当前位置的技术。在此基础上,本文提出了基于GPS导航和红外传感器的动态障碍物检测与避障原型系统的设计与开发。通过初步的实验,我们发现所提出的避障机制的方法对用户是有吸引力的和有用的。拟议系统的一些潜在应用包括家用电器或医院设备的移动和儿童指导。
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引用次数: 5
A novel 3-Layer user authentication system for remote accessibility 一种新型的三层远程访问用户认证系统
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509709
M. Hasan, Prof. Dr. Kamruddin Nur
User authentication through password matching is an age-old issue. It has been popularly being used in the computing world for its simplicity, flexibility and remote accessibility. Although people later developed and deployed some other authentication systems like Biometrics Authentication and Token-Based Authentication; despite proving higher degree of security, they all suffer from an orthodox problem-remote accessibility to an Internet-Based System. Again, for remote access, the general trend of using textual passwords is not guaranteed to be highly secured and, most often, they are seen breached by the intruders using some common password breaking algorithms. Hence, a more reliable, robust, secured and allover simple authentication system for remote accessibility is yet needed in digital world. In this paper, we propose a 3-Layer user authentication system for remote access of Internet-based systems that is guaranteed to be more secured, robust and reliable as compared to its existing counterparts. Besides, the proposed system ensures flexibility, reduced complexity and simplicity as well.
通过密码匹配进行用户身份验证是一个由来已久的问题。由于它的简单性、灵活性和远程可访问性,它在计算领域得到了广泛的应用。尽管人们后来开发并部署了其他一些身份验证系统,如生物识别身份验证和基于令牌的身份验证;尽管证明了更高的安全性,但它们都存在一个传统问题——对基于internet的系统的远程访问。同样,对于远程访问,使用文本密码的一般趋势并不能保证高度安全,而且大多数情况下,入侵者会使用一些常见的密码破解算法来破坏它们。因此,在数字世界中,需要一种更加可靠、健壮、安全、简单的远程访问认证系统。在本文中,我们提出了一个三层用户认证系统,用于基于internet的系统的远程访问,保证比现有的同类系统更安全、健壮和可靠。此外,所提出的系统保证了灵活性,降低了复杂性和简单性。
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引用次数: 1
Resolving scalability issue to ontology instance matching in Semantic Web 解决语义Web中本体实例匹配的可扩展性问题
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509778
Rudra Pratap Deb Nath, Hanif Seddiqui, Masaki Aono
Ontology instance matching is a key interoperability enabler across heterogeneous data sources in the Semantic Web and a useful maneuver in some classical data integration tasks dealing with the semantic heterogeneous assignments. Though most of the research has been conducted on ontology schema level matching so far, with the introduction of Linked Open Data (LOD) and social networks, research on ontology matching is shifting from ontology schema or concept level to instance level. Since heterogeneous sources of massive ontology instances grow sharply day-by-day, scalability has become a major research issue in ontology instance matching of semantic knowledge bases. In this paper, we propose an efficient method by grouping instances of knowledge base into several sub-groups to address the scalability issue. Then, our instance matcher, which considers the semantic specification of properties associated to instances in the matching strategy, works by comparing an instance within a classification group of one knowledge base against the instances of same sub-group of other knowledge base to achieve interoperability. A novel approach for measuring the influence of properties in the matching process is also presented. The experiment and evaluation depicts satisfactory results in terms of effectiveness and scalability over baseline methods.
本体实例匹配是语义Web中跨异构数据源的关键互操作性实现手段,也是处理语义异构分配的经典数据集成任务的一种有效策略。虽然目前大部分的研究都是在本体模式级的匹配上进行的,但是随着链接开放数据(Linked Open Data, LOD)和社交网络的引入,对本体匹配的研究正从本体模式或概念级转向实例级。随着海量本体实例异构来源的急剧增长,可扩展性成为语义知识库本体实例匹配的主要研究问题。在本文中,我们提出了一种有效的方法,通过将知识库实例分组到几个子组来解决可扩展性问题。然后,我们的实例匹配器考虑匹配策略中与实例相关的属性的语义规范,通过将一个知识库的分类组中的实例与其他知识库的同一子组的实例进行比较来实现互操作性。提出了一种测量匹配过程中属性影响的新方法。实验和评估描述了在有效性和可扩展性方面优于基线方法的令人满意的结果。
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引用次数: 7
Color image segmentation using visible color difference and canny edge detector 利用可见色差和canny边缘检测器进行彩色图像分割
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509727
A. G. Kibria, M. Islam
This paper presents an improved version for the JSEG color image segmentation algorithm integrating visible color difference and canny edge detector to measure the boundary of the region. This method resolves the major inherent problem in JSEG caused by varying illumination using visible color difference and canny edge detector with JSEG segmented image. Experiments on natural color of Berkeley Segmentation Dataset are presented which show improved results in comparison with the classical JSEG and Fractal-JSEG algorithm.
本文提出了一种改进的JSEG彩色图像分割算法,利用可见色差和canny边缘检测器测量区域边界。该方法利用可见色差和canny边缘检测器对分割后的JSEG图像进行检测,解决了JSEG图像因光照变化所带来的主要固有问题。对Berkeley分割数据集的自然颜色进行了实验,对比经典的JSEG和分形-JSEG算法,得到了更好的分割效果。
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引用次数: 5
Trust model simulation for supply chain management 供应链管理信任模型仿真
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509744
S. A. Hossain, Y. Ouzrout
A supply chain management (SCM) is the management of network having interconnected business nodes which spans all movements of services and goods from the point of origin to the point of consumption through chaining the services within the network. In the context of SCM within PLM, Trust modeling is an important and crucial aspect from the perspective of sustainability of the supply chain and to gain efficient performance in management of product life cycle. In the supply chain, the more we trust, the more we exchange information on demand and on forecast of the last customer so as with the level of stock and on the forecast of the suppliers. In this work, we attempted to model the Trust in SCM for using Agent Modeling Language (AML) and proposed a Multi Agent System (MAS) SCM model of trust in supply chain management. The proposed model is implemented using Java Agent Development Environment (JADE) and the simulation results demonstrated the impact of trust in supply chain along with the evolution of trust.
供应链管理(SCM)是对具有相互连接的业务节点的网络的管理,通过将网络内的服务链接起来,这些业务节点跨越了从原产地到消费点的所有服务和货物的移动。在PLM中的SCM环境中,从供应链的可持续性和在产品生命周期管理中获得有效绩效的角度来看,信任建模是一个重要而关键的方面。在供应链中,我们越信任,我们就会越多地交换关于需求和最后一个客户的预测的信息,以及库存水平和供应商的预测。在这项工作中,我们尝试使用代理建模语言(AML)对供应链中的信任进行建模,并提出了一个多代理系统(MAS)供应链管理中的信任模型。利用Java Agent Development Environment (JADE)实现了该模型,仿真结果显示了随着信任的演化,信任对供应链的影响。
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引用次数: 4
A comprehensive tool for text categorization and text summarization in bioinformatics 生物信息学中文本分类和文本摘要的综合工具
Pub Date : 2012-12-01 DOI: 10.1109/ICCITECHN.2012.6509764
Mustofa Kamal, Kazi Zakia Sultana
The work focuses on the integration of text categorization and text summarization tasks based on some existing algorithms. We primarily employ the method for bioinformatics literatures to categorize them in relevant domains of bioinformatics and then get a summarized overview of each of the documents in the domain. For text categorization we have chosen three different and core domains of bioinformatics: Protein-Protein Interaction, Disease-Drug Relevance and Pathway-Process Involvement. The method uses TF-IDF based technology for the categorization task and then after categorization it summarizes the key contents of each document using some existing features. The system plays important role in automatically reducing review spaces for the researchers as they do not need to manually select their relevant texts. It also saves time by providing ranked and significantly relevant lines of the documents. Our method outperforms other existing summarization tools in the sense that it optimizes summarization by first categorizing the documents on the basis of TF-IDF technology and then avoids redundant information by properly ranking the sentences using existing score.
在现有算法的基础上,重点研究了文本分类和文本摘要任务的集成。我们首先采用生物信息学文献的方法对生物信息学相关领域的文献进行分类,然后对该领域的每一篇文献进行总结概述。对于文本分类,我们选择了生物信息学的三个不同的核心领域:蛋白质-蛋白质相互作用,疾病-药物相关性和途径-过程参与。该方法使用基于TF-IDF的技术进行分类任务,然后在分类后利用一些已有的特征总结出每个文档的关键内容。该系统在自动减少研究人员的审查空间方面发挥了重要作用,因为他们不需要手动选择相关的文本。它还通过提供排序和显著相关的文档行来节省时间。我们的方法优于其他现有的摘要工具,因为它首先基于TF-IDF技术对文档进行分类,然后通过使用现有分数对句子进行适当排序来避免冗余信息,从而优化了摘要。
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引用次数: 1
期刊
2012 15th International Conference on Computer and Information Technology (ICCIT)
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