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2017 8th International Conference on Information Technology (ICIT)最新文献

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A trace simplification framework 跟踪简化框架
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080043
Hasan Abualese, Putra Sumary, Thamer Al-Rousan, M. Al-Mousa
Execution trace analysis is particularly valuable in the context of object-oriented program comprehension. However, coping with object-oriented execution traces is a very difficult task. In particular, because of coupling, current object-oriented systems lead to form a very complicated interwoven lattice of dependencies which is known as “Spaghetti Architectures” phenomenon. Therefore, trace reduction techniques are used to make execution traces more tractable and less difficult. This research focuses on establishing a trace simplification framework that depends on decoupling. Decoupling is a very useful in reducing the complexity of execution traces for comprehension process. In particular, decoupling could truthfully lessen the problem of “Spaghetti Architectures” phenomenon without removing trace components and creating several holes and gaps in trace structure. For this purpose, a set of related challenges is posed and addressed in order to develop the framework properly. The framework is based on combination of three components namely, scope filtering, utility detection, and utility decoupling components.
执行跟踪分析在面向对象程序理解的上下文中特别有价值。然而,处理面向对象的执行跟踪是一项非常困难的任务。特别是,由于耦合,当前的面向对象系统导致形成一个非常复杂的相互交织的依赖格,这被称为“意大利面架构”现象。因此,跟踪减少技术用于使执行跟踪更易于处理,更容易处理。本研究的重点是建立一个依赖于解耦的跟踪简化框架。解耦在降低理解过程执行跟踪的复杂性方面非常有用。特别是,解耦可以真正减少“意大利面架构”现象的问题,而不会移除迹线组件,并在迹线结构中产生几个孔和间隙。为此,提出并解决了一系列相关的挑战,以便正确地开发框架。该框架基于三个组件的组合,即范围过滤、效用检测和效用解耦组件。
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引用次数: 4
A semi-automated approach for generating sequence diagrams from Arabic user requirements using a natural language processing tool 使用自然语言处理工具从阿拉伯用户需求生成序列图的半自动化方法
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080018
Nermeen Alami, N. Arman, Faisal Khamyseh
A sequence diagram is one of UML models that are usually used within the analysis phase in software system development. Since generating such sequence diagrams is performed manually, automated or semi-automated support is beneficial in providing important and practical help. In this paper, a new semi-automated approach for generating sequence diagrams from user requirements written in Arabic is proposed. In this novel approach, the used Arabic requirements are parsed using a natural language processing tool to generate corresponding part of speech. A set of proposed heuristics are to be applied to obtain the sequence diagram components; objects, messages and work flow transitions (messages). The generated sequence diagram is represented using XMI to be drawn using sequence diagrams drawing tools. Using three different case studies as a benchmark from Isra Computer and Programming Company, the proposed approach is evaluated in terms of correctness and completeness of participants and messages exchanged between them.
序列图是一种UML模型,通常在软件系统开发的分析阶段使用。由于生成这样的序列图是手动执行的,因此自动化或半自动化的支持在提供重要和实际的帮助方面是有益的。本文提出了一种基于阿拉伯语的用户需求生成序列图的半自动化方法。在这种新颖的方法中,使用自然语言处理工具对使用的阿拉伯语需求进行解析,生成相应的词性。提出了一组启发式算法,用于获取序列图组件;对象、消息和工作流转换(消息)。生成的序列图使用XMI表示,并使用序列图绘制工具绘制。使用来自Isra Computer and Programming Company的三个不同的案例研究作为基准,根据参与者及其之间交换的消息的正确性和完整性来评估所建议的方法。
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引用次数: 6
SAR optimization for wideband hyperthermia treatment system 宽带热疗系统SAR优化
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079974
N. Nizam-Uddin, I. Elshafiey
This paper presents optimization of specific absorption rate (SAR) for wideband hyperthermia treatment system based on genetic algorithm (GA). A wideband multichannel hyperthermia system is proposed for enhancing energy localization. This model is developed by incorporating frequency dependent tissue properties of human head to be able to reflect a realistic approach of treating malignant tissues during hyperthermia process. The optimization tool is invoked to study SAR optimization for narrow and wideband frequency of operation of the proposed hyperthermia model. Results obtained suggest the potential of adopting wideband SAR optimization technique for effective hyperthermia treatment system.
提出了一种基于遗传算法的宽带热疗系统比吸收率优化方法。提出了一种用于增强能量定位的宽带多通道热疗系统。该模型是通过结合人类头部的频率依赖组织特性来开发的,以便能够反映在热疗过程中治疗恶性组织的现实方法。利用优化工具研究了所提出的热疗模型窄带和宽带操作频率下的SAR优化。结果表明,采用宽带SAR优化技术作为有效的热疗系统是有潜力的。
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引用次数: 4
Examining the impact of individual characteristics and knowledge asset characteristics on knowledge sharing behavior: Healthcare context 检查个人特征和知识资产特征对知识共享行为的影响:医疗保健背景
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080026
Yousra Harb, Ali Zahrawi, I. Shehabat
Knowledge is increasingly seen as one of the most important strategic asset in organizations and critical factor for business' success and sustainability. Knowledge management concerns with creating, sharing, and managing organizational knowledge as a key for organizational capabilities. There is a growing recognition that knowledge sharing is a key to leverage learning and performance within organizations. Therefore, it makes sense to understand the key determinants of knowledge sharing behavior within organizations. However, prior research focus has uncovered number of key factors that could influence knowledge sharing. This study rectifies this imbalance and focuses on investigating knowledge sharing behavior in healthcare domain as it helps build the collaborative and innovative community among healthcare professionals. Specifically, we review the literature pertaining knowledge sharing, identify the gap in the research studies, and shed the light on the factors that need more future research attention such as individual's characteristics and knowledge asset characteristics.
知识越来越被视为组织中最重要的战略资产之一,也是企业成功和可持续发展的关键因素。知识管理关注作为组织能力关键的组织知识的创建、共享和管理。越来越多的人认识到,知识共享是利用组织内部学习和绩效的关键。因此,了解组织内知识共享行为的关键决定因素是有意义的。然而,以往的研究重点已经揭示了一些影响知识共享的关键因素。本研究纠正了这一不平衡,并着重调查医疗保健领域的知识共享行为,以帮助建立医疗保健专业人员之间的协作和创新社区。具体而言,我们回顾了与知识共享相关的文献,找出了研究中的差距,并揭示了未来研究需要更多关注的因素,如个人特征和知识资产特征。
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引用次数: 2
Design patterns detection based on its domain 基于其域设计模式检测
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080017
Iyad Alazzam, B. Abul-Huda, Entesar Migdady
Software maintenance is an important issue during the software design life cycle, especially, in late stages. Frequent changes in the software system with lack of documentation lead to the increase in the cost of maintenance. For this reason an important step for software maintenance is detecting patterns from the source code to provide relevant information that can help in understanding the system design and improve its documentation. Design patterns help maintainers and developers to understand the implementation of any software system which make software maintenance process faster and well-informed. Also it decreases the time and efforts that are needed in learning the software. Detecting patterns is not an easy task because the nature of design patterns. This research introduces a detection process based on software domains. This work is done through collecting five different domains for Java open source code. The dynamic analysis approach is used in extracting patterns. The experimental results showed that there are existing some common patterns between source codes which have the same domain in some source codes.
软件维护是软件设计生命周期中的一个重要问题,特别是在后期阶段。缺乏文档的软件系统频繁更改导致维护成本的增加。由于这个原因,软件维护的一个重要步骤是从源代码中检测模式,以提供有助于理解系统设计和改进其文档的相关信息。设计模式帮助维护人员和开发人员理解任何软件系统的实现,从而使软件维护过程更快、更全面。它还减少了学习软件所需的时间和精力。由于设计模式的本质,检测模式不是一件容易的事。本文介绍了一种基于软件域的检测过程。这项工作是通过收集Java开源代码的五个不同领域来完成的。模式提取采用动态分析方法。实验结果表明,在某些源代码中具有相同域的源代码之间存在一些共同模式。
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引用次数: 1
A comprehensive approach for validating p53 binding site predictions 验证p53结合位点预测的综合方法
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079957
Tansel Özyer, R. Alhajj
Predicting the locations of Response Elements (RE) has received considerable attention in the field of gene sequence analysis and bioinformatics. Protein53 (p53) has a prominent role in the cell cycle and cancer prevention; it functions as a transcription factor and binds with p53 REs in the DNA. The identification of p53 response elements enlightens the unknown functions and characteristics of p53 besides the genes containing binding sites. In this work, we have proposed an algorithm for validating the prediction of the possible p53 binding sites in the human genome, by incorporating the recent findings on the p53 REs into our suggested profile hidden Markov model (PHMM). We constructed two PHMMs and the results described in this paper are very promising. In the experiments, we have used the p53 REs data reported by Riley et al. [21].
在基因序列分析和生物信息学领域,应答元件的位置预测受到了广泛的关注。蛋白53 (p53)在细胞周期和癌症预防中具有突出作用;它作为一种转录因子,与DNA中的p53 REs结合。p53应答元件的鉴定,揭示了p53除含有结合位点的基因外未知的功能和特性。在这项工作中,我们提出了一种算法来验证人类基因组中可能的p53结合位点的预测,通过将p53 REs的最新发现纳入我们建议的profile hidden Markov model (PHMM)。我们构建了两个phmm模型,所描述的结果是很有希望的。在实验中,我们使用了Riley等人[21]报道的p53 REs数据。
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引用次数: 0
Frequency-domain watermarking of 3D DIBR images using the steerable pyramid and discrete cosine transforms 利用可操纵金字塔和离散余弦变换对三维DIBR图像进行频域水印
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079953
Wala Etoom, A. Al-Haj
Depth-image-based-rendering (DIBR) is a new 3D rendering method that has been taking an active role in the recent advancements of the 3D technology due to its numerous advantages. The DIBR takes from the content provider side a monoscopic center view and an associated per-pixel depth map, and renders virtual left-eye and right-eye views at the 3D content consumer side. As with other multimedia contents, the center view, and the synthesized left-eye and right-eye views, can be easily duplicated and illegally distributed. Therefore, copyright protection of the three DIBR views must be preserved in this paper, a blind, robust, and imperceptible watermarking algorithm for DIBR images is proposed. The proposed algorithm is based on the steerable pyramid and the discrete cosine transform. The Zernike Moments are also used to increase the robustness of the watermarking scheme. The performance of the algorithm is evaluated with respect to visual quality and robustness of the watermarked DIBR images. Simulation results show that the proposed algorithm offers high visual quality, and is robust against common signal processing attacks. A comparison is made with existing DIBR 3D image watermarking algorithms to demonstrate the efficiency and competiveness of the proposed algorithm.
深度图像渲染(deep -image-based rendering, DIBR)是一种新型的3D渲染方法,由于其众多的优点,在近年来3D技术的发展中发挥着积极的作用。DIBR从内容提供者端获取单视角中心视图和相关的逐像素深度图,并在3D内容消费者端呈现虚拟的左眼和右眼视图。与其他多媒体内容一样,中心视图以及左眼和右眼合成视图很容易被复制和非法分发。为此,本文提出了一种盲、鲁棒、不可感知的DIBR图像水印算法。该算法基于可操纵金字塔和离散余弦变换。泽尼克矩还用于提高水印方案的鲁棒性。从图像的视觉质量和鲁棒性两方面对该算法进行了评价。仿真结果表明,该算法具有较高的视觉质量,对常见的信号处理攻击具有较强的鲁棒性。通过与现有DIBR三维图像水印算法的比较,验证了该算法的有效性和竞争力。
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引用次数: 1
Anomaly detection on a real-time server using decision trees step by step procedure 异常检测的实时服务器上使用决策树一步一步的程序
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079989
Georges Chaaya, H. Maalouf
Anomaly detection is the process of finding outlying records from a given data set. The aim of this paper is to study a well-known anomaly detection technique on the “Short Message Service Centre” server, used in the telecommunications field to handle and store messages. This server was studied in details, a script was written to gather all the required data that went through a cleaning phase and a labeling process after being deeply analyzed. The decision tree algorithm was chosen to be implemented, and it originally gave a precision of 98.82%. After performing different types of tuning and optimization, the precision reached 99.38% with an effective accuracy of 99.98%. Our approach proved that the application on this type of servers is efficient and leads to very good results, which can also be improved in future studies.
异常检测是指从给定的数据集中找出离群记录的过程。本文的目的是研究在电信领域中用于处理和存储短信的“短信服务中心”服务器上的一种众所周知的异常检测技术。对该服务器进行了详细的研究,编写了一个脚本来收集所有需要的数据,经过深入分析后,经过清理阶段和标记过程。我们选择决策树算法来实现,它最初给出的准确率为98.82%。经过不同类型的调优,精度达到99.38%,有效精度达到99.98%。我们的方法证明了在这种类型的服务器上的应用是高效的,并且得到了很好的结果,在未来的研究中也可以得到改进。
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引用次数: 2
An efficient heuristic algorithm for solving robotic assembly line balancing problem 求解机器人装配线平衡问题的一种高效启发式算法
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8080035
Zeynel Abidin Çil, Suleyman Mete, Eren Özceylan
In the assembly system, robots provide to increase flexibility of the system and automation. The balancing robotic assembly line (RALB) problem consists two main works, which are not only assigning task to station, but also allocation robots in stations. Because each robots can perform different performance on the same tasks due to their capabilities. In this study, iterative beam search algorithm is developed to minimize cycle time. The performance of the algorithm outperforms other algorithm in the literature.
在装配系统中,机器人增加了系统的灵活性和自动化程度。平衡机器人装配线(RALB)问题包括两个主要工作,即向工位分配任务和在工位分配机器人。因为每个机器人在完成同样的任务时,由于能力的不同会有不同的表现。在本研究中,提出了迭代波束搜索算法以最小化循环时间。该算法的性能优于文献中的其他算法。
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引用次数: 1
Protein multiple sequence alignment by basic flower pollination algorithm 基于基本花授粉算法的蛋白质多序列比对
Pub Date : 2017-05-01 DOI: 10.1109/ICITECH.2017.8079955
Ahmad MohdAziz Hussein, R. Abdullah, Nuraini AbdulRashid, Aziz Nasser Boraik Ali
In this paper, a flower pollination algorithm (FPA) for the multiple sequence alignment (MSA) problem has been proposed. The FPA is a nature-inspired metaheuristic algorithm based on the pollination process of flowers flowering plants. MSA is an alignment of three or more sequences. MSA is used in many applications such as protein structure prediction, phylogenetic analysis, and genome primer identification. In research of MSA, a challenging problem is how to find the MSA that maximises the SP (Sum-of-Pairs) score. This problem is an NP-complete problem. This proposed work adapts the FPA to optimize the SP score of MSA method. The prelim results show that applying basic FPA on MSA still has room for improvement in terms of accuracy for SP score to reach global solution.
针对多序列比对问题,提出了一种花授粉算法(FPA)。FPA是一种基于开花植物授粉过程的自然启发的元启发式算法。MSA是三个或更多序列的比对。MSA被广泛应用于蛋白质结构预测、系统发育分析和基因组引物鉴定等领域。如何找到使SP(和-对)分数最大化的MSA是MSA研究中一个具有挑战性的问题。这个问题是np完全问题。本文采用FPA对MSA方法的SP评分进行优化。初步结果表明,在MSA上应用基本FPA对SP评分的精度仍有提高的空间,以达到全局解。
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引用次数: 7
期刊
2017 8th International Conference on Information Technology (ICIT)
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