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2014 International Conference on Emerging Technologies (ICET)最新文献

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An evaluation of personal and interpersonal competencies of project managers 对项目经理的个人能力和人际关系能力的评估
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021010
A. Hanif, S. Tariq
Project success factors consist of a variety of soft skills and competencies in addition to technical skills. These skills and competencies can be broadly categorized into business, personal, interpersonal and management competencies. This paper reports the results of a survey conducted to highlight strengths and weaknesses of personal and interpersonal competencies of software project managers. Four attributes of personal and seven attributes of interpersonal skills have been analyzed. Top and bottom seven skills have been reported. The competencies related to people and communications management have emerged as weak areas and recommendations have been made to improve upon the weaknesses. Other important aspects discussed are overcoming shortcomings in soft skills by further training and incorporation of formal courses in project management education.
除了技术技能外,项目成功的因素还包括各种软技能和胜任能力。这些技能和能力可以大致分为商业能力、个人能力、人际能力和管理能力。本文报告了一项调查的结果,以突出软件项目经理的个人和人际能力的优势和劣势。分析了个人的四个属性和人际交往能力的七个属性。报告了最高和最低的7项技能。与人事和通讯管理有关的能力已成为薄弱领域,并提出了改进这些薄弱领域的建议。讨论的其他重要方面是通过进一步培训和纳入项目管理教育的正式课程来克服软技能方面的缺点。
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引用次数: 4
A novel approach for automatic gene selection and classification of gene based colon cancer datasets 一种基于结肠癌基因数据集的自动基因选择和分类新方法
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021014
Saima Rathore, M. A. Iftikhar, M. Hussain
Colon cancer heavily changes the composition of human genes (expressions). The deviation in the chemical composition of genes can be exploited to automatically diagnose colon cancer. The major challenge in the analysis of human gene based datasets is their large dimensionality. Therefore, efficient techniques are needed to select discerning genes. In this research article, we propose a novel classification technique that exploits the variations in gene expressions for classifying colon gene samples into normal and malignant classes, and quite intelligently tackles the larger dimensionality of gene based datasets. Previously individual feature selection techniques have been used for selection of discerning gene expressions, however, their performance is limited. In this research study, we propose a feed forward gene selection technique, wherein, two feature selection techniques are used one after the other. The genes selected by the first technique are fed as input to the second feature selection technique that selects genes from the given gene subset. The selected genes are then classified by using linear kernel of support vector machines (SVM). The feed forward approach of gene selection has shown improved performance. The proposed technique has been tested on three standard colon cancer datasets, and improved performance has been observed. It is observed that feed forward method of gene selection substantially reduces the size of gene based datasets, thereby reducing the computational time to a great extent. Performance of the proposed technique has also been compared with existing techniques of colon cancer diagnosis, and improved performance has been observed. Therefore, we hope that the proposed technique can be effectively used for diagnosis of colon cancer.
结肠癌严重地改变了人类基因的组成(表达)。基因化学成分的偏差可以用来自动诊断结肠癌。分析人类基因数据集的主要挑战是它们的大维度。因此,需要有效的技术来选择识别基因。在这篇研究文章中,我们提出了一种新的分类技术,利用基因表达的变化将结肠基因样本分为正常和恶性类别,并非常智能地处理了基于基因数据集的更大维度。以前,个体特征选择技术已被用于识别基因表达的选择,然而,它们的性能有限。在本研究中,我们提出了一种前馈基因选择技术,其中两种特征选择技术依次使用。由第一种技术选择的基因作为输入输入到从给定基因子集中选择基因的第二种特征选择技术。然后使用线性核支持向量机(SVM)对选择的基因进行分类。基因选择的前馈方法已显示出较好的性能。该技术已在三个标准结肠癌数据集上进行了测试,并观察到其性能有所改善。观察到基因选择的前馈方法大大减小了基于基因的数据集的大小,从而在很大程度上减少了计算时间。该技术的性能也与现有的结肠癌诊断技术进行了比较,并观察到性能的提高。因此,我们希望所提出的技术可以有效地用于结肠癌的诊断。
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引用次数: 10
Knowledge management model for support of requirement engineering 支持需求工程的知识管理模型
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021008
Muhammad Ahsan, Yasir Hafeez Motla, A. Anwar, M. Azeem
Requirement engineering (RE) plays an important role in the success or failure of product and is recognized as the most critical factor in the entire software development process. Due to the fact that RE knowledge is highly dependent on human which may result in inconsistencies, terminology conflicts and lack of understanding of requirement knowledge faced in the implementation of information based applications. To address these issues we have proposed the knowledge management model for the support of RE activities. This knowledge model assists the requirement engineers and other stakeholders to share and understand the domain and instance level knowledge which results in strengthening the RE activities through continuous requirement refinement by better knowledge management model.
需求工程对产品的成败起着重要的作用,被认为是整个软件开发过程中最关键的因素。由于可重构知识高度依赖于人的知识,在实现基于信息的应用时可能会出现不一致、术语冲突和对需求知识缺乏理解等问题。为了解决这些问题,我们提出了支持可再生能源活动的知识管理模型。该知识模型帮助需求工程师和其他涉众共享和理解领域和实例级知识,从而通过更好的知识管理模型对需求进行持续细化,从而加强可重构活动。
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引用次数: 3
A high speed transmitter for visible light communications upto 50 Mbps 用于可见光通信的高速发射机,最高可达50 Mbps
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021035
A. Ahmed, Jamal Ahmad Khan, U. Younis
A high speed, low-cost transmitter for visible light communication has been developed. The PCB design has been optimized for high frequency operation using surface-mounted devices. A two-stage on-chip amplifier has been used to amplify the square-wave pulses up to 50 MHz fundamental frequency, which is limited by the measurement setup. The frequency components up to eleventh harmonic have been observed in the amplified signal. The transmitter driver has been used to operate a high-brightness LED and the transmission up to 25 MHz-50 Mbps (using NRZ) has been attained.
一种高速、低成本的可见光通信发射机已经研制成功。PCB设计针对使用表面安装器件的高频操作进行了优化。采用两级片上放大器将方波脉冲放大至50mhz基频,但受测量装置的限制。在放大后的信号中观察到11次谐波以下的频率分量。发射机驱动器已用于操作高亮度LED,传输高达25 MHz-50 Mbps(使用NRZ)已达到。
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引用次数: 3
Service integration for biometric authentication 生物识别认证的服务集成
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021012
S. Javed, U. Norbisrath
Multimodal biometric authentication systems offer immunity to the threats imposed by unimodal biometric systems. However, this comes at significantly higher development and adaptation costs. In this paper we introduce an approach that allows automatic configuration and deployment of heterogeneous biometric systems for different business processes and related environments. The need for development and integration of scenario-specific compatible systems is replaced by repetitive scenario-specific configuration and deployment of multimodal biometric systems. We also present tools for configuration and deployment, which respectively configure and deploy multimodal biometric systems comprising of heterogeneous open source and/or commercial biometric systems required for fulfillment of domain specific authentication needs. In comparison to the prevalent practices, our approach reduces the effort required for developing and deploying reliable biometric authentication systems.
多模态生物识别认证系统对单模态生物识别系统带来的威胁具有免疫力。然而,这需要更高的开发和适应成本。在本文中,我们介绍了一种方法,该方法允许为不同的业务流程和相关环境自动配置和部署异构生物识别系统。开发和集成特定场景兼容系统的需求被重复的特定场景配置和多模式生物识别系统的部署所取代。我们还提供了配置和部署工具,分别配置和部署由异构开源和/或商业生物识别系统组成的多模态生物识别系统,以满足特定领域的身份验证需求。与流行的实践相比,我们的方法减少了开发和部署可靠的生物识别身份验证系统所需的工作量。
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引用次数: 0
Range and Doppler estimation of multiple moving targets for pulsed Doppler radars with CFAR detector at very low SNRs 低信噪比CFAR脉冲多普勒雷达多运动目标距离和多普勒估计
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021034
M. Z. Butt, S. T. Gul
Pulsed wave radars are very promising due to their numerous attractive features over traditional continuous wave radars. This paper presents the range and doppler estimation of moving targets using pulsed doppler radars. Various techniques have been implemented to correctly estimate the range and radial velocity of the moving target. Moving Target Indicator (MTI) is widely accepted as computationally efficient method to estimate the range and Doppler of the moving targets. But the Doppler estimation using MTI in case of multiple and very fast moving targets is not an accurate method. Adaptive CFAR thresholding is another technique that improves the performance of the system at very low SNR. We employ an FFT based signal processor with CFAR detector to produce unbiased estimates of the ranges and radial velocities of the multiple moving targets. Results show significant Improvements over other implemented techniques even at very low SNRs.
脉冲波雷达与传统的连续波雷达相比具有许多吸引人的特点,因此具有很大的发展前景。本文介绍了脉冲多普勒雷达对运动目标的距离和多普勒估计。为了正确估计运动目标的距离和径向速度,采用了各种技术。运动目标指示器(MTI)作为一种计算效率高的估计运动目标距离和多普勒的方法被广泛接受。但是在多目标快速运动的情况下,用MTI进行多普勒估计并不是一种准确的方法。自适应CFAR阈值是另一种在极低信噪比下提高系统性能的技术。我们采用基于FFT的信号处理器和CFAR检测器对多个运动目标的距离和径向速度进行无偏估计。结果显示,即使在非常低的信噪比下,也比其他实现的技术有显著的改进。
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引用次数: 0
MEMS based wireless energy harvesting mechanism for ECG and BCG application 基于MEMS的无线能量采集机制在心电和BCG中的应用
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021033
Ahmad Usman, Mohsin Mukhtar, Rana Mohammad Umer
The paper presents the novel concept of a low frequency, wireless energy harvesting system capable of acquiring, processing, and transmitting electrocardiogram (ECG) and Ballistocardiogram (BCG) data. The System on Chip (SoC) is designed to be capable of autonomous power management and operation derived from harvested power. A MEMS based piezoelectric energy harvesting cantilever is employed for this purpose. It consists of a silicon beam integrated with piezoelectric thin film (PZT) elements fabricated on parallel top. A silicon proof mass is attached to the silicon beam. The arrangement of silicon beam and proof mass enables the structure to extract energy from low frequency vibrations. The energy harvester when integrated with the proposed system can perform ECG heart rate extraction and atrial fibrillation detection while only consuming a few μWs of harvested power. This novel design of energy harvesters provides an additional benefit of Ballistocardiogram (BCG) that can help in early stages of a heart disease diagnostics.
本文提出了一种低频无线能量采集系统的新概念,该系统能够采集、处理和传输心电图(ECG)和心电图(BCG)数据。片上系统(SoC)被设计为能够自主管理电源并从收集的功率中获得操作。为此,采用了基于MEMS的压电能量收集悬臂梁。它由硅梁和顶部平行制作的压电薄膜元件组成。一个防硅质量体附着在硅梁上。硅梁和防弹质量的排列使结构能够从低频振动中提取能量。与该系统集成后,能量采集器仅消耗几μ w的采集功率,即可完成心电心率提取和房颤检测。这种新设计的能量收集器提供了一个额外的好处,可以帮助在早期阶段的心脏疾病诊断的心电图(BCG)。
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引用次数: 6
Hybrid modeling of p53 and Akt associated gene regulatory network p53和Akt相关基因调控网络的杂交建模
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021015
F. Bibi, Jamil Ahmad
p53 is known as a genome guardian gene as it bears a putative function in the DNA damage associated gene regulatory networks (GRNs). These GRNs integrate many upstream signals to up-regulate p53 and in turn p53 either up-regulates or down-regulates many downstream signals. In this paper, we model a GRN comprising of the entities p53, Mdm2c, Mdm2n, and Akt using the qualitative and hybrid modeling frameworks. The qualitative model predicts a stable state and cycles representing the over expression and homeostasis of the entities, respectively. The model also predicts the bifurcation states, which cause divergence from the normal cyclic behaviours towards the stable state. We also compute the conditions in the form of delay constraints for the existence of cycles using hybrid model checking.
p53在DNA损伤相关基因调控网络(GRNs)中具有一定的功能,被认为是一种基因组守护基因。这些grn整合许多上游信号上调p53,而p53又上调或下调许多下游信号。在本文中,我们使用定性和混合建模框架对包含实体p53、Mdm2c、Mdm2n和Akt的GRN进行建模。定性模型预测了一个稳定的状态和周期,分别代表实体的过度表达和稳态。该模型还预测了导致正常循环行为向稳定状态发散的分岔状态。并利用混合模型检验,以延迟约束的形式计算了循环存在的条件。
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引用次数: 0
Requirements Engineering process for Software-as-a-Service (SaaS) cloud environment 软件即服务(SaaS)云环境的需求工程流程
Pub Date : 2014-12-01 DOI: 10.1109/ICET.2014.7021009
A. Tariq, S. Khan, Sundas Iftikhar
This paper deals with the important topic of Requirements Engineering in cloud computing, specifically on Software as a Services (SaaS) cloud model and presents a new methodology for Requirements Engineering of SaaS by identifying two key questions to handle Requirements in SaaS. The paper evolves by considering a CMMI modification by adding a new element in such a process, specifically devoted to SaaS and proposed a modification in the traditional Requirements Engineering process. The paper also identifies a set of requirement categories that must be considered in SaaS, which may not always be considered in the development process of traditional software.
本文讨论了云计算中需求工程的重要主题,特别是软件即服务(SaaS)云模型,并通过确定处理SaaS中需求的两个关键问题,提出了SaaS需求工程的新方法。本文通过在这样一个过程中添加一个新元素来考虑CMMI修改,特别是在SaaS中,并在传统的需求工程过程中提出了修改。本文还确定了一组在SaaS中必须考虑的需求类别,这些类别在传统软件的开发过程中可能并不总是被考虑。
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引用次数: 7
Multi-aspects based requirements priortization technique for value-based software developments 基于价值的软件开发的基于多方面的需求优先化技术
Pub Date : 2014-01-23 DOI: 10.1109/ICET.2014.7021007
Falak Sher, D. Jawawi, R. Mohamad, M. Babar
In requirements engineering (RE), different activities are carried on to add up business values to the software products. In value-base software (VBS), financial impacts on business are measured, and this phenomenon makes VBS different than other traditional software applications. In VBS systems, determination of valuable requirements is a crucial task and depends on multiple aspects or factors. Requirement prioritization is a part of RE and is considered as a crucial decision-making activity. Requirements prioritization is a process where requirements are arranged in an order to create a stakeholder priority list. Different requirements prioritization techniques are used by the experts in the industry to partially support the prioritization process for VBS development. Business and technical aspects play a vital role to make prioritization process effective. In existing requirements prioritization techniques, technical aspects are not applied well, and their consideration is partial only. Moreover, the business aspects are ignored which are highly vital for VBS development. There is a need to introduce multi-aspects requirements prioritization technique to support the selection of candidate requirements for VBS development. Hence, this paper focuses on a new requirements prioritization technique for VBS.
在需求工程(RE)中,进行不同的活动来增加软件产品的业务价值。在价值基础软件(value- based software, VBS)中,财务对业务的影响是衡量的,这一现象使得VBS不同于其他传统的软件应用。在VBS系统中,确定有价值的需求是一项至关重要的任务,它取决于多个方面或因素。需求优先级是RE的一部分,被认为是一个关键的决策活动。需求优先级是一个将需求按顺序排列以创建涉众优先级列表的过程。行业专家使用不同的需求优先排序技术来部分支持VBS开发的优先排序过程。业务和技术方面在使优先排序过程有效方面起着至关重要的作用。在现有的需求优先排序技术中,技术方面没有得到很好的应用,而且它们的考虑只是局部的。此外,忽略了对VBS发展至关重要的业务方面。有必要引入多方面需求优先排序技术来支持VBS开发的候选需求选择。因此,本文重点研究了一种新的VBS需求优先级划分技术。
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引用次数: 17
期刊
2014 International Conference on Emerging Technologies (ICET)
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