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2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)最新文献

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Knowledge Management in Health: An Australian Viewpoint 健康知识管理:澳大利亚的观点
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538359
Sumayya Banna
this study explores knowledge management within an Australian healthcare arena. The healthcare sector is the knowledge-based profession. It is an immature arena of researchand hence needs to be researched by empirical research and theoretical constructs. Given the multifaceted arena of the healthcare sector, there is still an escalating obstacle of understanding the mode of knowledge management in the healthcare arena. The paper explains the application of Q method as a cohesive and applied method to the knowledgecreation, sharing and storing within organizational health arena. The study proposed knowledge management as a theoretical construct to implement the knowledge-based approach to improve the decision-making process.
本研究探讨了澳大利亚医疗保健领域的知识管理。医疗保健行业是一个以知识为基础的行业。这是一个不成熟的研究领域,因此需要通过实证研究和理论建构进行研究。鉴于医疗保健领域的多面性,在了解医疗保健领域的知识管理模式方面仍然存在一个不断升级的障碍。本文阐述了Q方法作为一种具有凝聚力和实用性的方法在组织健康领域的知识创造、共享和存储中的应用。本研究提出知识管理作为一种理论建构,以实施以知识为基础的方法来改善决策过程。
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引用次数: 0
A Comparative Study of Reactive and Proactive Routing Protocols on a Mobility Model in Mobile Ad Hoc Network (MANET) 移动自组网(MANET)移动模型中被动和主动路由协议的比较研究
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538398
M. Appiah, Rita Cudjoe
Mobile Ad Hoc Network (MANET) consists of wireless nodes that are placed randomly and dynamically which results in the rapid change between the nodes. In any given situation on MANET, the choice of a routing protocol should be considered and by doing so, factors such as the mobility model, mobility of nodes, the network size and packet size should be taken into consideration because the routing protocols configured with the mobility model can highly affect the performance of MANET. This paper analysed the impact of two different routing protocols (i.e. Dynamic Source Routing (DSR) and Optimized Link State Routing (OLSR)) on the performance of Manet_Down_Left (MDL) mobility model. The simulated results indicated that Manet_Down_Left (MDL) configured with OLSR protocol performed better than MDL configured with DSR protocol.
移动自组织网络(MANET)是由随机动态放置的无线节点组成的,这使得节点之间的变化非常迅速。在MANET上的任何给定情况下,都应该考虑路由协议的选择,并且通过这样做,应该考虑诸如移动性模型,节点的移动性,网络大小和数据包大小等因素,因为与移动性模型配置的路由协议可以高度影响MANET的性能。本文分析了动态源路由(DSR)和优化链路状态路由(OLSR)两种不同路由协议对Manet_Down_Left (MDL)移动模型性能的影响。仿真结果表明,配置OLSR协议的Manet_Down_Left (MDL)的性能优于配置DSR协议的MDL。
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引用次数: 4
An Improved Chaotic Image Encryption Algorithm 一种改进的混沌图像加密算法
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538373
M. Al-Khasawneh, S. Shamsuddin, S. Hasan, A. Bakar
Chaotic-based image encryption algorithms are countless in number. Encryption techniques based on Chaos are among the most effectual algorithms for encryption of data image. In past works, chaos-based cryptosystems applied the chaotic dynamical system with the linkage to the harmonization of two chaotic systems and controls. Good performances have resulted but there were several downsides pertaining to the single rule usage by each, impacting security, privacy and dependability of the techniques mentioned. Serious problems were also documented in their usage in satellite imagery. As a possible solution, a novel chaos-based symmetric method of key cryptosystem is proposed in this paper. This method employs external secret key that Logistic, Henon and Gauss iterated maps have previously expanded. For creating the secret key matrix for image encryption, these maps are merged. Here, simple logical XOR and multiple key generation processes were applied. Assessment to the method is performed on the satellite images dataset, and security is evaluated through the experimental analysis. As evidenced, the chaos-based satellite image cryptosystem demonstrates appropriateness for satellite image encryption and decryption in the preservation of security and dependability of the storage and transmission process.
基于混沌的图像加密算法数不胜数。基于混沌的加密技术是数据图像加密中最有效的算法之一。在以往的研究中,基于混沌的密码系统将带有连杆的混沌动力系统应用于两个混沌系统和控制的协调。这带来了良好的性能,但是它们各自使用的单一规则有几个缺点,影响了所提到的技术的安全性、隐私性和可靠性。它们在卫星图像中的使用也记录了严重的问题。作为一种可能的解决方案,本文提出了一种新的基于混沌的密钥密码对称方法。该方法采用Logistic、Henon和Gauss迭代映射之前展开过的外部密钥。为了创建用于图像加密的密钥矩阵,这些映射被合并。这里应用了简单的逻辑异或和多个密钥生成过程。在卫星图像数据集上对该方法进行了评估,并通过实验分析对该方法的安全性进行了评估。结果表明,基于混沌的卫星图像密码系统在保证存储和传输过程的安全性和可靠性方面适合于卫星图像的加密和解密。
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引用次数: 12
Early Warning System For The Continuouse Use Of Injectable Contraception, Using SMS Gateway In The Success Of Family Planning Programs 注射避孕药持续使用预警系统,短信网关在计划生育项目成功中的应用
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538407
Febrina Sari, F. Damayanti, Atma Hadiansa, Elisa Hafrida
Early Warning System (EWS) is an SMS Gateway based early warning system built to maintain the continuous use of Injectable Contraception. This system will provide an early injection schedule warning, in order for the acceptor to do periodic injections according to the schedule of injecting types used, EWS is also equipped with information about family planning programs (KB) and various other contraceptives. With the development of Early Warning System (EWS), acceptor can get the information of the injection schedule in accordance with the prescribed period by cellular phone such as smartphone and tablet computer that they have, so the acceptors can do periodic injections on time and no longer need to record regularly schedule their syringes on the calendar or see the manual control cards they have. Early Warning System can maintain the continuous use of injectable contraception, so that the purpose of Family Planning Program in suppressing population growth can be achieved.
早期预警系统(EWS)是一个基于短信网关的早期预警系统,旨在保持注射避孕药的持续使用。该系统将提供早期注射时间表警告,以便接受者根据使用的注射类型时间表进行定期注射,EWS还配备了有关计划生育计划(KB)和各种其他避孕措施的信息。随着预警系统(EWS)的发展,接受者可以通过自己拥有的智能手机、平板电脑等移动电话,按照规定的周期获取注射日程信息,从而可以按时进行周期性注射,不再需要在日历上记录注射器的定期安排,也不再需要查看手中的手动控制卡。预警系统可以保持注射避孕措施的持续使用,从而达到计划生育计划抑制人口增长的目的。
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引用次数: 1
Design and Evaluation of Cloud-Based Students Data Management System Usability 基于云的学生数据管理系统可用性设计与评价
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538428
Rami Muqbel Al-Sumaty, I. Umar
Cloud Computing Technology provides computing centers, providing an infrastructure for services [4]. services over Internet Protocol (IP), such as virtual private However, it is not necessary to incur administrative and networks (VPN), servers, storage, applications and hosting maintenance costs while moving the IT infrastructure into services needed by organizations and educational institutions. the Cloud computing [5]. Furthermore, today, there is In educational and learning institutions, this technology helps users (i.e., students, instructors, researchers, and administrators) to perform their tasks effectively with less cost and utilize the services that available by cloud-based applications offered by cloud service providers. This study is aimed to develop and evaluate a Student Data Management System (SDMS) in terms of system usability based on cloud database as a service (DaaS) to provide the necessary information to improve educational performance management in Yemen. This pilot study was conducted in five Language and Computer Institutes in Aden city of Yemen. The usability testing of this system was carried out on 45 teachers andadministrative staff as the participants of this study. The results showed that 95.8 % of the participants agree to use SDMS frequently, 95.5% agree that SDMS was easy to learn and 95.6% participants agree that SDMS was easy to use. In the final result of SDMS usability evaluation, a mean usability score of 83.6 was reported, this score indicates an excellent evaluation from the respondents based on the SUS score evaluation by Bangor et al. (2008), In other words there was a significant success of using cloud computing technology in terms of managing and storing of student’s data to improve educational performance management in developing countries that facing severe strains on the national economy such as Yemen.
云计算技术提供计算中心,为服务提供基础设施[4]。然而,在将it基础设施转移到组织和教育机构所需的服务中时,没有必要产生管理和网络(VPN)、服务器、存储、应用程序和托管维护成本。云计算[5]。此外,在今天的教育和学习机构中,该技术帮助用户(即学生、教师、研究人员和管理员)以更低的成本有效地执行任务,并利用云服务提供商提供的基于云的应用程序提供的服务。本研究旨在开发和评估基于云数据库即服务(DaaS)的学生数据管理系统(SDMS)的系统可用性,以提供必要的信息来改善也门的教育绩效管理。这项试点研究是在也门亚丁市的五所语言和计算机学院进行的。本系统的可用性测试以45名教师和行政人员为研究对象。结果表明,95.8%的参与者同意经常使用SDMS, 95.5%的参与者认为SDMS易于学习,95.6%的参与者认为SDMS易于使用。在SDMS可用性评估的最终结果中,报告的平均可用性得分为83.6,这一分数表明,根据班戈等人(2008)的SUS分数评估,受访者的评价很好。换句话说,在也门等国民经济面临严重压力的发展中国家,在管理和存储学生数据方面使用云计算技术改善教育绩效管理取得了重大成功。
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引用次数: 5
An Approach of Vehicle Defects Assessment upon Multi - source Data 基于多源数据的车辆缺陷评估方法
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538422
Jundian Song, Bingrong Dai, Fengyuan Liu, Rui Zhang
The defect evaluation is an important research topic in the risk control fields of industry regulation, safety monitoring and information system. In view of the difficulty of quantifying language description, the subjectivity of assessment process and the single data source in the vehicle defects assessment, this paper presents the vehicle defects assessment approach upon multi-source data. It gives the defect assessment indicators based on multi-source data and uses fuzzy membership function to convert language description into numerical value. It also uses Analytic Hierarchy Process to determine the indicators ‘weights. Furthermore, it proposes five defects’ levels based on the Audit method and completes the assessment of vehicle defects. This paper uses China’s data as a study case to assess vehicles’ defects and the result verifies the effectiveness of the proposed approach.
缺陷评估是行业监管、安全监控和信息系统等风险控制领域的重要研究课题。针对汽车缺陷评估中语言描述难以量化、评估过程主观性强、数据源单一等问题,提出了基于多源数据的汽车缺陷评估方法。给出了基于多源数据的缺陷评价指标,并利用模糊隶属函数将语言描述转化为数值。运用层次分析法确定各指标的权重。在此基础上,提出了基于Audit方法的5个缺陷等级,完成了对车辆缺陷的评估。本文以中国的数据为例,对车辆缺陷进行了评估,结果验证了该方法的有效性。
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引用次数: 0
Ubiquitous Application Testing on Cloud 云上无处不在的应用程序测试
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538412
A. Khan, A. Al-Badi
Nowadays desktop-based application are continuously evolving into pervasive or ubiquitous applications. There are millions of ubiquitous applications developed and used, but the testing of these applications are very complex tasks due to diversity in ubiquitous devices. Cloud computing is the future which has brought cost reduction, improved business, and processes in organizations through minimum management efforts. Software testing is a process to make sure the software is of acceptable quality. The traditional testing processes are incompatible with the changing technology and environment such as in ubiquitous applications. The availability of 5G network has reduced the data streaming dependence on the network. Thus under the presence of 5 G network cloud based testing can be successfully carried out for ubiquitous applications. Therefore, this research proposes a testing process for ubiquitous applications on cloud consisting of five steps. The testing on cloud would include stress testing, performance testing, compatibility testing, functional testing, web browser testing, load testing, and latency testing etc. The research mainly relate to ubiquitous application testing.
如今,基于桌面的应用程序正在不断发展成为无处不在的应用程序。已经开发和使用了数以百万计的无处不在的应用程序,但是由于无处不在的设备的多样性,这些应用程序的测试是非常复杂的任务。云计算是未来,它通过最小的管理努力降低了成本,改善了业务和组织流程。软件测试是一个确保软件具有可接受质量的过程。传统的测试过程与不断变化的技术和环境不兼容,例如在无处不在的应用中。5G网络的可用性降低了数据流对网络的依赖。因此,在5g网络的存在下,基于云的测试可以成功地进行无处不在的应用程序。因此,本研究提出了一个由五个步骤组成的云上无处不在的应用程序测试流程。云上的测试包括压力测试、性能测试、兼容性测试、功能测试、web浏览器测试、负载测试和延迟测试等。主要研究泛在应用测试。
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引用次数: 2
Enhancing Seamless Nurses-Physician Communication After-Hours with Google Glass 利用谷歌眼镜增强医护人员下班后的无缝沟通
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538415
Esyin Chew, Pei Lee Lee, Weng Han Ho
There is a major issue in medical centres in Malaysia: the shared responsibility and communication between nurses at the bedside care and conversation with the physicians after-hours. Inexperience nurses may, sometimes, overlook patients’ critical symptoms that indicate immediate medical care and cause the circumstance deteriorate. Therefore, mutual blaming practices are common if there is a medical error. The design of hands-free assessment and feedback with wearable technologies is welcomed in healthcare sector. Hence, the paper presents a pilot design that investigates how a wearable technology can help in daily patient care in an innovative way that enhance the nurses and physicians’ communication. The paper reviewed the current practices and technologies, followed by the design of the transformed flow, hardware and apps used with technical limitations, pilot evaluation and future work.
马来西亚的医疗中心存在一个主要问题:护士在床边护理时的共同责任和沟通以及下班后与医生的对话。缺乏经验的护士有时可能会忽视病人的危急症状,而这些症状需要立即进行医疗护理,从而导致情况恶化。因此,如果发生医疗事故,相互指责是很常见的。采用可穿戴技术的免提评估和反馈设计在医疗保健领域受到欢迎。因此,本文提出了一个试点设计,研究可穿戴技术如何以创新的方式帮助日常患者护理,增强护士和医生的沟通。本文回顾了目前的实践和技术,然后进行了改造流程的设计,硬件和应用程序使用的技术限制,试点评估和未来的工作。
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引用次数: 2
Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning 基于深度学习行为模式分析的客户流失预测模型
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538420
Sanket Agrawal, Aditya Das, Amit Gaikwad, Sudhir Dhage
Customer churn refers to when a customer ceases their relationship with a company. A churn rate, used to estimate growth, is now considered as important a metric as financial profit. With growing competition in the market, companies are desperate to keep the churn rate as low as possible. Thus, churn prediction has gained critical importance, not just for existing customers, but also for predicting trends of future customers. This paper demonstrates prediction of churn on a Telco dataset using a Deep Learning Approach. A multilayered Neural Network was designed to build a non-linear classification model. The churn prediction model works on customer features, support features, usage features and contextual features. The possibility of churn as well as the determining factors are predicted. The trained model then applies the final weights on these features and predict the possibility of churn for that customer. An accuracy of 80.03% was achieved. Since the model also provides the churn factors, it can be used by companies to analyze the reasons for these factors and take steps to eliminate them.
客户流失是指客户终止与公司的关系。用来估计增长的流失率,现在被视为与财务利润一样重要的指标。随着市场竞争的加剧,公司都在拼命保持尽可能低的流失率。因此,流失预测变得至关重要,不仅对现有客户,而且对预测未来客户的趋势。本文演示了使用深度学习方法预测电信数据集的流失。设计了多层神经网络来建立非线性分类模型。流失预测模型适用于客户特性、支持特性、使用特性和上下文特性。预测了客户流失的可能性和决定因素。经过训练的模型然后对这些特征应用最终权重,并预测该客户流失的可能性。准确度达到80.03%。由于该模型还提供了流失因素,它可以被公司用来分析这些因素的原因,并采取措施消除它们。
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引用次数: 17
Towards An Optimized Smart Traffic for Congestion Avoidance with Multi Layered (ST-CA) Framework 基于多层(ST-CA)框架的优化智能交通避免拥塞
Pub Date : 2018-07-01 DOI: 10.1109/ICSCEE.2018.8538401
Nada M. Alhakkak, B. Salman, N. Al-Sammarraie
In many cities around the world, traffic congestion is considered a major problem that should be managed properly. Managing traffic flow is not simply applied by constructing new road or maintaining old ones; it is not just a matter of physical infrastructure. For managing traffic, there should be ’’smart’’ ways to be taken by the use of available technologies’ facilities. Countries should think and act smart to manage today’s traffic in their cities. The use of controlled smart traffic systems is gaining a noticeable interest for the past few years and various solutions have been proposed, adopted and even implemented in several countries. In this paper, we propose Smart Traffic for Congestion Avoidance with Multi Layered (ST-CA) Framework, for solving the congestion problem. The proposed framework is constructed in multilayer approach for easy maintenance in the future. The STCA framework should be more flexible, in sending/ receiving messages, than others and depend in its decision making on expert systems.
在世界上许多城市,交通拥堵被认为是一个应该妥善管理的主要问题。管理交通流量不是简单地通过修建新道路或维护旧道路来实现的;这不仅仅是物理基础设施的问题。为了管理交通,应该采用“智能”的方法,利用现有的技术设施。各国应该明智地思考和行动,以管理当今城市的交通。在过去几年中,使用受控智能交通系统正在引起人们的注意,在一些国家已经提出、采用甚至实施了各种解决方案。为了解决交通拥堵问题,本文提出了多层智能交通(ST-CA)框架。该框架采用多层结构,便于后续维护。STCA框架在发送/接收消息方面应该比其他框架更灵活,并依赖于专家系统的决策。
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引用次数: 4
期刊
2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)
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