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Clicker Supported Team-Based Learning Environment: A Qualitative Study Clicker支持的团队学习环境:一项定性研究
Pub Date : 2018-09-30 DOI: 10.3991/ijoe.v14i09.8734
Gülsüm Asiksoy
In recent years Clicker technology has been widely used at universities to provide interactive learning environments. It is used with suitable pedagogic approaches to obtain the expected learning outcome. The aim of the study is to specify student views about the environment developed as a result of the integration of Team-based learning strategy and clicker technology in education. The participants are 30 first-year engineering students taking Physics I at Near East University. A case study design was used in this research. After overviewing the literature, the researcher prepared a semi-structured interview form to collect the data. İnterviews at the voluntary base was given after a five-week application process. The data were analyzed through content analysis method. The findings indicated that student perception of clicker supported Team-Based learning was positive. The students admitted that this environment enhanced their learning and they even made suggestions. This study can help educationalists integrate clicker technology in Team-Based learning strategy.
近年来,Clicker技术被广泛应用于大学,以提供交互式学习环境。它与适当的教学方法一起使用,以获得预期的学习成果。本研究的目的是明确学生对团队学习策略和点击器技术在教育中的整合所产生的环境的看法。参与者是30名在近东大学(Near East University)攻读物理一年级的工科大一学生。本研究采用个案研究设计。在回顾文献后,研究者准备了半结构化的访谈表格来收集数据。通过5周的申请程序,获得了在志愿基地的İnterviews。采用内容分析法对数据进行分析。调查结果显示,学生对clicker支持的团队学习的认知是积极的。学生们承认这种环境促进了他们的学习,他们甚至提出了建议。本研究有助于教育工作者将clicker技术整合到团队学习策略中。
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引用次数: 2
Energy Management using Optimal Fuzzy Logic Control in Wireless Sensor Network 基于最优模糊逻辑控制的无线传感器网络能量管理
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.8896
Chenglong Cao, Xiaoling Zhu
Energy is a key factor that affects the lifetime of wireless sensor network (WSN). This paper proposes an adaptive energy management model to improve the energy efficiency in WSN. Unlike existing clustering routing protocols, the overall performance indicators are introduced as the inputs of fuzzy logic control (FLC). Meanwhile, the probability adjustment value, as the out of FLC, is fed back to the network for the generation of new clusters. Since the design of membership functions (MFs) of FLC has a significant impact on system performance, a particle swarm optimization (PSO) algorithm is used to optimize MFs and its optimization goal is to reduce the number of dead nodes and increase the remaining energy level in WSN. Simulation experiments were conducted for the low energy adaptive clustering hierarchy protocol (LEACH), the conventional FLC, FLC using genetic algorithm (GA), and FLC using PSO. The results show that the proposed FLC-PSO has the best performance among the four protocols and it can be used efficiently in energy management of WSN.
能量是影响无线传感器网络寿命的关键因素。为了提高无线传感器网络的能量利用率,提出了一种自适应能量管理模型。与现有的聚类路由协议不同,模糊逻辑控制(FLC)引入了总体性能指标作为输入。同时,概率调整值作为外FLC反馈到网络中生成新的聚类。由于FLC隶属度函数的设计对系统性能有重要影响,采用粒子群优化算法(PSO)对隶属度函数进行优化,其优化目标是减少死节点数量,提高WSN的剩余能级。分别对低能量自适应聚类层次协议(LEACH)、传统FLC、基于遗传算法的FLC和基于粒子群算法的FLC进行了仿真实验。结果表明,FLC-PSO是四种协议中性能最好的一种,可以有效地用于WSN的能量管理。
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引用次数: 4
A Social Robotic Obesity Management and Awareness System for Children in Saudi Arabia 沙特阿拉伯儿童的社会化机器人肥胖管理和意识系统
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.9015
M. Alotaibi
The prevalence of obesity and overweight among children has increased significantly during last two decades in Saudi Arabia with overwhelming consequences to public health. Most recommended approaches to reduce obesity have paying attention on healthier diet and physical Activity (PA).  The recent research shows that the use of social robots can contribute in fulfilling all the needs to encourage children to improve their skills in self-management. As children need to be surprised and feel a sense of enjoyment when involving in any activity where they can spend time, effort and be dedicated to. Hereby, this paper presents an innovation social Robotic system to offer a set of activities to help obese children in improving their capabilities to manage their selves properly and increase their obesity knowledge.  The proposed system presented in this paper will be tested and evaluated extensively in a random controlled trial in Saudi Arabia. 
在过去二十年中,沙特阿拉伯儿童中肥胖和超重的流行率显著增加,对公共卫生造成严重后果。大多数建议的减少肥胖的方法是关注健康的饮食和身体活动(PA)。最近的研究表明,社交机器人的使用有助于满足鼓励儿童提高自我管理技能的所有需求。当孩子们参与任何他们可以花时间、精力和专注的活动时,他们需要惊喜和享受。因此,本文提出了一种创新的社交机器人系统,提供一套活动,帮助肥胖儿童提高自我管理能力,增加肥胖知识。本文提出的系统将在沙特阿拉伯的一项随机对照试验中进行广泛的测试和评估。
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引用次数: 7
Enhancement of Non-Holonomic Leader-Follower Formation Using Interval Type-2 Fuzzy Logic Controller 区间2型模糊控制器对非完整Leader-Follower群体的增强
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.8568
B. Tutuko, S. Nurmaini, Saparudin, Gita Fadila Fitriana
Robotics control system with leader-follower approach has a weakness in the case of formation failure if the leader robot fails. To overcome such problem, this paper proposes the formation control using Interval Type-2-Fuzzy Logic controller (IT2FLC). To validate the performance of the controller, simulations were performed with various environmental systems such as open spaces, complexes, circles and ovals with several parameters. The performance of IT2FLC will be compared with Type-1 Fuzzy Logic (T1FL) and Proportional Integral and Derivative (PID) controller. As the results found using IT2FLC has advantages in environmental uncertainty, sensor imprecision and inaccurate actuator. Moreover, IT2FLC produce good performance compared to T1FLC and PID controller in the above environments, in terms of small data generated in the fuzzy process, the rapid response of the leader robot to avoid collisions and stable movements of the follower robot to follow the leader's posture to reach the target without a crash. Especially in some situations when a leader robot crashes or stops due to hardware failure, the follower robot still continue move to the target without a collision.
采用leader-follower方法的机器人控制系统在leader失效的情况下存在弱点。为了克服这一问题,本文提出了区间2型模糊逻辑控制器(IT2FLC)的编队控制。为了验证控制器的性能,在不同的环境系统中进行了仿真,如开放空间、建筑群、圆形和椭圆形等。将IT2FLC的性能与1型模糊逻辑(T1FL)和比例积分与导数(PID)控制器进行比较。结果表明,采用IT2FLC具有环境不确定性、传感器不精度和执行器不精确等优点。而且,在上述环境下,IT2FLC比T1FLC和PID控制器表现出较好的性能,在模糊过程中产生的小数据,leader机器人的快速响应避免碰撞,follower机器人的稳定运动跟随leader的姿态到达目标而不发生碰撞。特别是在领跑机器人因硬件故障而崩溃或停止的情况下,跟随机器人仍能继续向目标移动而不会发生碰撞。
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引用次数: 3
An Intrusion Detection Model Based On Danger Theory for Wireless Sensor Networks 基于危险理论的无线传感器网络入侵检测模型
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.8625
Linlin Li, Liangxu Sun, G. Wang
This paper, due to the intrusion detection problem in Wireless Sensor Networks, proposes an intrusion detection model based on the Danger Theory instead of the traditional Self-NonSelf theory. The intrusion detection model has two layers structure including danger perception and control decision, and it uses a multi-node cooperation mechanism. The perception node can realize the danger perception with Projection Pursuit Algorithm, and the decision node can detect the intrusion in detail with Extreme Learning Machine Algorithm. The logic process between their layers is consistent with the Danger Theory. The proposed model can realize the data trust between nodes with the Beta distribution trust evaluation method. By the simulations in the MATLAB, the proposed intrusion detection model on the whole is better than the SNS model at the aspects including classification training, danger perception, false negative rate, false positive rate and energy consumption.
针对无线传感器网络中的入侵检测问题,提出了一种基于危险理论的入侵检测模型,取代了传统的自-非自理论。入侵检测模型采用多节点协作机制,具有危险感知和控制决策两层结构。感知节点采用投影追踪算法实现危险感知,决策节点采用极限学习机算法实现入侵细节检测。其层与层之间的逻辑过程符合危险理论。该模型采用Beta分布信任评估方法实现节点间的数据信任。通过MATLAB仿真,所提出的入侵检测模型在分类训练、危险感知、误报率、误报率、能耗等方面总体上优于SNS模型。
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引用次数: 4
Spectrum Sensing for Cognitive Radio Using Genetic Algorithm 基于遗传算法的认知无线电频谱感知
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.9064
Shewangi Kochhar, R. Garg
Cognitive Radio has been skillful technology to improve the spectrum sensing as it enables Cognitive Radio to find Primary User (PU) and let secondary User (SU) to utilize the spectrum holes. However detection of PU leads to longer sensing time and interference. Spectrum sensing is done in specific “time frame” and it is further divided into Sensing time and transmission time. Higher the sensing time better will be detection and lesser will be the probability of false alarm. So optimization technique is highly required to address the issue of trade-off between sensing time and throughput. This paper proposed an application of Genetic Algorithm technique for spectrum sensing in cognitive radio. Here results shows that ROC curve of GA is better than PSO in terms of normalized throughput and sensing time. The parameters that are evaluated are throughput, probability of false alarm, sensing time, cost and iteration.
认知无线电是一种改进频谱感知的技术,它使认知无线电能够找到主用户(PU),并让副用户(SU)利用频谱空洞。但对PU的检测会导致较长的检测时间和干扰。频谱感知是在特定的“时间框架”内完成的,又分为感知时间和传输时间。感知时间越长,检测效果越好,虚警概率越小。因此,迫切需要优化技术来解决感知时间和吞吐量之间的权衡问题。提出了遗传算法技术在认知无线电频谱感知中的应用。结果表明,在归一化吞吐量和感知时间方面,遗传算法的ROC曲线优于粒子群算法。评估的参数包括吞吐量、虚警概率、感知时间、成本和迭代。
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引用次数: 10
Modelling of Operating Conditions of Conduction Heat Transfer Mode Using Energy 2D Simulation 基于能量二维模拟的传导传热模式工况建模
Pub Date : 2018-09-30 DOI: 10.3991/ijoe.v14i09.9116
S. Alrwashdeh
An energy transfer across a system boundary due to a temperature difference by the mechanism of inter-molecular interactions called conduction heat transfer. In the present work, a mathematical model and a simulation based on Energy 2D V 3.0.1 simulator are presented to study the effect of the conduction parameters: thermal conductivity, surface contact area, temperature difference and conduction distance on the heat transferred by the conduction mode.  
分子间相互作用的一种叫做传导热传递的机制,由于温差而使能量跨越系统边界。本文建立了数学模型,并基于Energy 2D V 3.0.1模拟器进行了仿真,研究了导热系数、表面接触面积、温差和传导距离等传导参数对传导方式传热的影响。
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引用次数: 23
Computer Laboratory Teaching Management System for Improving Teaching and Learning 提高教与学的计算机实验室教学管理系统
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.8535
S. G. Farag
Rapid advancements in technology in today’s world have been accompanied by the need for equipping classrooms with the best educational technology. The biggest challenge in incorporating technology into learning is allowing students to take advantage of learning technology while ensuring that the class is productive and well managed. The main objective of this paper is to study the effects of using a classroom management system in computer lab sessions for smooth technology integration and effective computer lab management. The practice was evaluated through comparative analysis of the student performance, survey results and feedback from teachers, students, and IT management staff. Generally, the responses of participants were positive, more than 90% of them agreed that the system enhances the learning environment. The results analysis showed that there is a noticeable increase in student performance
随着当今世界科技的飞速发展,人们需要为教室配备最好的教育技术。将技术融入学习的最大挑战是让学生利用学习技术,同时确保课堂富有成效和管理良好。本文的主要目的是研究在计算机实验室课程中使用课堂管理系统对顺利的技术集成和有效的计算机实验室管理的影响。通过对学生表现、调查结果和教师、学生和IT管理人员的反馈进行比较分析,对实践进行评估。总的来说,参与者的反应是积极的,超过90%的人认为该系统改善了学习环境。结果分析表明,学生的成绩有了明显的提高
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引用次数: 9
Design of Measurement Memory System Based on MEMS Acceleration Sensor 基于MEMS加速度传感器的测量存储系统设计
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.8689
Lei Xu, Liqing Fang, Xu Li, Ruikun Huo, Ziyuan Qi, Deqing Guo
With the rapid development of MEMS technology, MEMS acceleration sensors have been used more and more widely due to their unique advantages. Taking MEMS acceleration sensor as the core device, a measurement memory system was designed. The system mainly included acceleration detection module, acceleration memory module and control display module, which could realize real-time acceleration measurement and memory, and uploaded the stored data to the computer. Using the vibration test to detect the performance of the system, the result showed that the  system could achieve the desired effect, and could realize real-time acceleration measurement and memory within the allowable  error range. It could still work normally under the condition of the maximum overload of at least 100g, which possessed strong resistance to high overload capacity
随着MEMS技术的飞速发展,MEMS加速度传感器以其独特的优势得到了越来越广泛的应用。以MEMS加速度传感器为核心器件,设计了测量存储系统。该系统主要包括加速度检测模块、加速度存储模块和控制显示模块,可以实现加速度的实时测量和存储,并将存储的数据上传到计算机。通过振动试验对系统的性能进行检测,结果表明系统能够达到预期的效果,并能在允许的误差范围内实现加速度的实时测量和记忆。在最大过载不低于100g的情况下仍能正常工作,具有较强的抗高过载能力
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引用次数: 4
Applying a Model Driven Architecture Approach: Transforming CIM to PIM Using UML 应用模型驱动的体系结构方法:使用UML将CIM转换为PIM
Pub Date : 2018-09-30 DOI: 10.3991/IJOE.V14I09.9137
Oualid Betari, Saida Filali, Amine Azzaoui, Mohamed Amine Boubnad
Over the last few years, as they evolve with business needs and technology, enterprises are faced with the need to adapt their business processes to work in open settings. In such settings, the automation and the interoperability of business process and applications become a key concern. The Model Driven Architecture (MDA) is introduced as an approach to cope with this challenge. MDA specifies four levels of abstraction, most of the existing studies focus on modeling and transforming the Platform-Independent Model (PIM) to Platform-Specific Model (PSM) levels, while the more conceptual level, the Computation-Independent Model (CIM) is often presumed as present and is not further studied. In this paper, we propose an approach for transforming a CIM into a PIM using the core modeling concepts of the Unified Modeling Language (UML). One important characteristic of this approach is that it provides a method to capture and describe the requirements of the business process using a use cases model. The other important characteristic is proposing an architecture of the PIM based on the classes model. The execution of the transformation is programmed by the Query View Transformation (QVT) language.
在过去的几年中,随着业务需求和技术的发展,企业面临着调整其业务流程以在开放环境中工作的需求。在这样的设置中,业务流程和应用程序的自动化和互操作性成为一个关键问题。模型驱动体系结构(MDA)作为一种应对这一挑战的方法被引入。MDA指定了四个抽象级别,现有的大多数研究都集中在建模和将平台独立模型(PIM)转换为平台特定模型(PSM)级别,而更概念化的级别,计算独立模型(CIM)通常被认为是存在的,没有进一步研究。在本文中,我们提出了一种使用统一建模语言(UML)的核心建模概念将CIM转换为PIM的方法。此方法的一个重要特征是,它提供了一种使用用例模型捕获和描述业务流程需求的方法。另一个重要特征是提出了基于类模型的PIM体系结构。转换的执行是由查询视图转换(QVT)语言编写的。
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引用次数: 10
期刊
Int. J. Online Eng.
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