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2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)最新文献

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Queue model in health facilities information system 卫生设施信息系统中的队列模型
A. N. Pramudhita
In many health facilities, patients wait for long time before they are attended to by the health personnel. This trend is increasing and it is a potential threat to healthcare services. In Indonesia, health facilities with large number of patients such as general hospital, private clinic, private hospital, and community health centre have cases where patients may not be serviced on time while others may end up going home without receiving medical services. In this paper, an efficient queuing model for proper queueing system is proposed as the solution to the long waiting times in these health facilities. From those problems, we need a technology to facilitate patient in doing the queue. In this research, queue theories are studied, and a queue application as a web application is designed. The user of queue application is divided into two sides, the patients who register and queue and the operator who manage the patient data and queue data. The output of this application is to make the queue system that can be done online in every department in health facilities, the patients queue data is displayed in screens so that the patients could know who is being treated and how may people left before the patient is called. A notification feature also provided so that when a queue number is called the patients received a notification to soon be able to return to the location of the doctor. The application is designed as a module so that it can be integrated with other module in Health Information System for future research. By Implementing such system hopefully service effectiveness and efficiency will be improved and patients' satisfaction can be increased.
在许多卫生设施中,病人要等很长时间才能得到卫生人员的照料。这一趋势正在增加,并对医疗保健服务构成潜在威胁。在印度尼西亚,综合医院、私人诊所、私人医院和社区卫生中心等病人人数众多的卫生设施,可能出现病人得不到及时服务,而另一些人可能没有得到医疗服务就回家的情况。本文提出了一种合理排队系统的有效排队模型,以解决医疗机构排队时间过长的问题。针对这些问题,我们需要一种技术来帮助患者进行排队。本研究研究了队列理论,并设计了一个队列应用程序作为web应用程序。队列应用的用户分为注册和排队的患者和管理患者数据和排队数据的操作者两方面。该应用程序的输出是使队列系统可以在卫生设施的每个部门在线完成,患者队列数据显示在屏幕上,以便患者可以知道谁正在接受治疗以及在患者被叫到之前有多少人离开。还提供了通知功能,以便当调用队列号时,患者收到通知,以便很快能够返回到医生所在的位置。该应用程序被设计为一个模块,以便与卫生信息系统中的其他模块集成,以供将来的研究。通过该系统的实施,有望提高服务的有效性和效率,提高患者的满意度。
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引用次数: 0
Performance of grid-connected wind power plants as affected by load models: A comparative study 负荷模型对并网风力发电厂性能影响的比较研究
M. EL-Shimy, M. Attia, N. Mostafa, A. Afandi
The integration of renewable energy technologies in power systems causes a significant change in the electromechanical and electromagnetic properties of these systems. Consequently, the steady state and dynamic performances of power systems are altered due to the presence of these technologies. Therefore, the conclusions derived from the conventional system structures need to be updated. Recently, wind energy presented a worldwide major source of renewable energy. The performance of the generating subsystem is not only affected by the technologies of the generators, but also the dynamics of the network and load components. Since the majority of network components is passive elements, the loads, presents the most impacting subsystems on the performance of power systems. This paper presents a detailed analysis of the steady state and dynamic performances of power systems as affected by Wind energy conversion technologies (WECTs), and composite load structures and models. The results are compared with the performances of the conventional synchronous generators. The results presented in the paper provide evidences of the strengths and weaknesses in power systems caused by the presence of various WECTs. In addition, the results show the capability of various WECTs to match the classical distinct performances of conventional synchronous generators.
可再生能源技术在电力系统中的集成使这些系统的机电和电磁特性发生了重大变化。因此,由于这些技术的存在,电力系统的稳态和动态性能发生了变化。因此,从传统的系统结构中得出的结论需要更新。近年来,风能已成为世界范围内主要的可再生能源。发电子系统的性能不仅受到发电机组技术的影响,还受到电网和负荷组件动态变化的影响。由于电网中绝大多数元器件都是无源元器件,因此负载是对电力系统性能影响最大的子系统。本文详细分析了风能转换技术、复合负荷结构和模型对电力系统稳态和动态性能的影响。并与传统同步发电机的性能进行了比较。本文所提出的结果提供了各种wect存在对电力系统造成的优势和劣势的证据。此外,结果表明,各种wect能够匹配传统同步发电机的经典不同性能。
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引用次数: 17
Application of adaptive neuro-fuzzy inference system and chicken swarm optimization for classifying river water quality 自适应神经模糊推理系统与鸡群优化在河流水质分类中的应用
E. Sutoyo, Rd. Rohmat Saedudin, I. R. Yanto, A. Apriani
Along with the rapid technological developments led to more effective and efficient processing machinery in producing goods and services but the bad news of the sector is the waste and pollution it produces. Pollutants from settlements and industries can cause water quality degradation, causing distress and disturbance to the ecosystem. Water quality evaluation has a critical role in environmental management and decision-making, gives a scientific principle to protect water resources. Therefore, this study explores ANFIS-CSO for classification of water river basin. This study demonstrated that ANFIS-CSO technique is effective for water river classification. On the basis of analysis, the results verify that the ANFIS-CSO achieved high accuracy for solving problems of water river quality classification.
随着技术的快速发展,在生产商品和服务时产生了更有效和高效的加工机械,但该部门的坏消息是它产生的废物和污染。来自住区和工业的污染物会导致水质退化,对生态系统造成困扰和干扰。水质评价在环境管理和决策中起着至关重要的作用,为保护水资源提供了科学的依据。因此,本研究探索了anfiss - cso在水系流域分类中的应用。研究表明,anfiss - cso技术对水体分类是有效的。在分析的基础上,验证了anfiss - cso在解决水质分类问题上取得了较高的精度。
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引用次数: 6
Balance movement controller of humanoid soccer player on different surfaces 仿人足球运动员在不同表面上的平衡运动控制器
D. Lestari, Agusta Rahmat Taufani, Andriana Kusuma Dewi, S. Sendari, Sofyan Mashudi
The regulation of balancing humanoid robots on certain media was being developed in several studies. The objective of this research is to maintain the balance of humanoid robot by applying gyroscope and accelerometer sensors. The research method used was experiments using both sensors where the robot is placed on a variety of pedestals. Both sensors were taken in value, then processed to generate Proportional-Integral-Derivative (PID) values for the CM530 controller that used to drive the servo motors that exist in the humanoid robot. Movement of servo motors produced would place the robot in balanced condition when robot stand up straight or move. The gyroscope and accelerometer sensors together with Proportional-Derivative (PD) control used to maintain the balance as it moved forward, turn left, turn right and moved backwards on the tiled floor and green carpet. Meanwhile, to move on synthetic grass, it was still need to adjust again with robot construction.
几项研究正在发展在某些介质上平衡人形机器人的规则。本研究的目的是利用陀螺仪和加速度传感器来维持人形机器人的平衡。使用的研究方法是使用两个传感器进行实验,其中机器人被放置在各种基座上。取两个传感器的值,然后处理生成比例积分导数(PID)值,用于驱动人形机器人中存在的伺服电机。当机器人直立或移动时,所产生的伺服电机运动将使机器人处于平衡状态。陀螺仪和加速度计传感器以及比例导数(PD)控制用于在瓷砖地板和绿色地毯上向前、向左、向右和向后移动时保持平衡。同时,为了在人造草坪上移动,还需要再次调整机器人施工。
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引用次数: 0
Modeling and analysis of fault current limiter as a short-circuit protection device: A case study at the sengkaling substation, Malang, Indonesia 短路保护装置故障限流器的建模与分析:以印尼玛琅senkaling变电站为例
H. Suyono, R. Hasanah, E. Kuncoro, H. Mokhlis
The increase of electricity demand requires the improvement of utility service and operating performance of substations and the related equipment. It is to anticipate various possible faults, including short-circuit faults. Air-core reactors, fuses and circuit breakers are among the protection equipment commonly used to handle the short-circuit faults. However, those protection devices are in general only able to respond and to become active in two or three cycles after the faults occurrence. This paper presents a study to examine the use of Fault Current Limiter (FCL) for providing the response in less than two cycle of fault current. The FCL is principally a variable impedance which is connected in series with the circuit breaker to limit the short-circuit current in a substation. The results of study on a distribution system taken as a sample case indicate that the use of FCL provides an active response which could be achieved in the first-half of the disturbance. It could lower the current level as much as 62.44% in case of line to ground fault, 60.70% in case of line to line fault, whereas in case of double line and triple line to ground faults the reduction could reach 61.46% and 61.35%, respectively.
电力需求的增加要求变电站及相关设备的公用事业服务和运行性能的提高。它是预测各种可能发生的故障,包括短路故障。空芯电抗器、熔断器和断路器是处理短路故障常用的保护设备。然而,这些保护装置通常只能在故障发生后的两到三个周期内响应并激活。本文研究了故障限流器(FCL)在故障电流小于两个周期内的响应。FCL主要是一个可变阻抗,它与断路器串联在一起,以限制变电站的短路电流。以某配电系统为例的研究结果表明,FCL的使用可以在扰动的前半段实现主动响应。线对地故障时电流降低率可达62.44%,线对地故障时电流降低率可达60.70%,双线和三线对地故障时电流降低率分别可达61.46%和61.35%。
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引用次数: 1
Force feedback training system to hold axillary crutch stably 力反馈训练系统稳定抱持腋下拐杖
C. Wada, Takayuki Nagasaki
This study aimed to decrease risk of falls via displacement of the axilla during crutch walking. An axillary force feedback system is developed for providing a visual information to crutch users. An imbalance point is existed between the force of the upper arm on the axillary pad and the force of the chest wall on the axillary pad. Moreover, the system also provides real-time information on force placed on axillary pads during crutch walking and evaluated the effectiveness of our training system. Results suggested that this feedback system was effective for beginners.
本研究旨在通过拐杖行走时腋窝移位来降低跌倒的风险。为了给拐杖使用者提供视觉信息,开发了一种腋窝力反馈系统。上臂对腋窝垫的作用力与胸壁对腋窝垫的作用力之间存在一个不均衡点。此外,该系统还提供了拐杖行走时腋窝垫受力的实时信息,并评估了我们的训练系统的有效性。结果表明,该反馈系统对初学者是有效的。
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引用次数: 0
Comparison of ANFIS and NFS on inflation rate forecasting ANFIS与NFS在通货膨胀率预测上的比较
Nadia Roosmalita Sari, A. Wibawa, W. Mahmudy
Inflation is very influential on the national economy. The monetary crisis can occur if inflation is not well controlled. For that, it takes a forecasting. Inflation rate forecasting can predict future country situation based on historical data. This study proposes two hybrid Fuzzy logic-Neural network methods to predict inflation rate in Indonesia. Adaptive Neuro Fuzzy Inference System (ANFIS) and Neural Fuzzy System (NFS) were chosen because both methods are hybrid Fuzzy logic-Neural network with different architecture. This study aims to find the method that has the best performance. Time series data and some external factors (CPI, Money Supply, BI Rate, Exchange Rate) are used as parameters. Proper Neural Network (NN) architecture must be found to produce high accuracy. Therefore, some tests (learning rate, epoch, neuron) are performed. The best method is chosen based on the level of accuracy produced by using Root Mean Square Error analysis technique. The results show that NFS has better performance with accuracy (RMSE=1.213) than ANFIS.
通货膨胀对国民经济影响很大。如果通货膨胀控制不好,货币危机就会发生。为此,需要一个预测。通货膨胀率预测可以根据历史数据预测未来的国家情况。本文提出两种模糊逻辑-神经网络混合预测印尼通货膨胀率的方法。选择自适应神经模糊推理系统(ANFIS)和神经模糊系统(NFS),因为这两种方法都是混合模糊逻辑-神经网络,但结构不同。本研究旨在寻找具有最佳性能的方法。使用时间序列数据和一些外部因素(CPI,货币供应量,BI Rate,汇率)作为参数。必须找到合适的神经网络结构才能获得较高的精度。因此,进行了一些测试(学习率、epoch、神经元)。根据均方根误差分析技术产生的精度水平选择最佳方法。结果表明,NFS在准确率上优于ANFIS (RMSE=1.213)。
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引用次数: 2
Naive Bayes using to predict students' academic performance at faculty of literature 用朴素贝叶斯预测文学系学生的学习成绩
U. Pujianto, E. N. Azizah, A. Damayanti
In Indonesia, in order to maximize its academic potential, high school students need to be grouped in classes based on their interests and talents. Three commonly made groups are natural science, social science, and linguistics. Problems can arise in the future when students experience a change of interest. One of the cases is that there are students who previously belonged to the group of natural science classes interested in continuing studies in higher education in the field of language and literature. This study aims to assist students with such cases by predicting the likelihood of their success adapting to new environments. Predictions are based on input data on students' activities and skills related to the language field. The Naive Bayes method is used with the input of a number of attributes, including the national exam score of Indonesian and English language, the average of the national exam score, the presence or absence of language-related achievements, and the number of books read each month. Converted GPAs in ordinal form are selected as outputs in the case of this prediction. The results shows that the accuracy of this technique reaches 70 percent, so it can be interpreted that the Naive Bayes method has the potential to answer the question of whether a student can adapt and perform well while studying in language and literature faculty.
在印度尼西亚,为了最大限度地发挥其学术潜力,高中生需要根据他们的兴趣和才能进行分组。自然科学、社会科学和语言学是三个常见的学科。将来,当学生的兴趣发生变化时,问题就会出现。其中一种情况是,以前属于自然科学班的学生有兴趣继续在语言和文学领域的高等教育中学习。本研究旨在通过预测学生成功适应新环境的可能性来帮助这些案例的学生。预测是基于学生与语言领域相关的活动和技能的输入数据。使用朴素贝叶斯方法,输入一些属性,包括印尼语和英语的全国考试成绩,全国考试成绩的平均值,有无语言相关的成就,每月阅读的书籍数量。在这种预测的情况下,选择以顺序形式转换的gpa作为输出。结果表明,该技术的准确率达到70%,因此可以解释为,朴素贝叶斯方法有可能回答学生在语言文学专业学习时是否能够适应和表现良好的问题。
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引用次数: 10
Attribute selection on student performance dataset using maximum dependency attribute 使用最大依赖属性对学生成绩数据集进行属性选择
Rd. Rohmat Saedudin, E. Sutoyo, S. Kasim, Hairulnizan Mahdin, I. R. Yanto
As a higher education institution, knowing which GPA of the semester has the most determinant to affecting the academic performance of students is important yet challenging. Therefore, this paper deliberates the usage of rough set theory based Maximum Dependency Attributes (MDA). The dataset is taken from the Directorate of Information Systems (SISFO), Telkom University. The result showed that the most determinant attribute is 2th GPA, followed with 3rd GPA, Entrance Examination, 1st GPA, Academic Aptitude Test, and 4th GPA, respectively. By early knowing the most determinant attribute in which score of the m, a well-planned strategic program can be set during the institution academic study period.
作为一所高等教育机构,了解哪一个学期的GPA对学生的学习成绩影响最大是很重要的,但也是很有挑战性的。因此,本文考虑使用基于粗糙集理论的最大依赖属性(MDA)。数据集取自电信大学信息系统理事会(SISFO)。结果表明,最具决定性的属性是第2绩点,其次是第3绩点、高考绩点、第1绩点、学业能力测试绩点和第4绩点。通过早期了解m分数的最决定性属性,可以在机构学术研究期间制定精心策划的战略方案。
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引用次数: 12
A novel of adaptive sliding mode controller with observer for DC/DC boost converters in photovoltaic system 光伏系统中DC/DC升压变换器的一种带观测器的自适应滑模控制器
R. K. Subroto, L. Ardhenta, Eka Maulana
Photovoltaic output voltage strongly depends on the solar irradiance and temperature. From this point of view, it is not possible to connect the PV panels and load directly. DC/DC boost converter is needed to regulate the output voltage. However, to control DC/DC boost converter is very challenging and not an easy task, since it deals with nonlinearity and non-minimum phase system. The unknown varying output voltage of the photovoltaic and unknown load resistance are common problems that needs to be considered. This paper presents modified adaptive sliding mode controller, in which adaptation mechanism is incorporated in observer designing. Observer is designed in order to estimate the unknown but bounded input voltage and load resistance. Furthermore, the controller is designed by employing PI sliding surface to eliminate steady state error under varying parameters and disturbances and to provide fast-transient response. By using this proposed configuration, the control performance is improved. The proposed method have been successfully proved by using Lyapunov theory to ensure its stability. The simulation results show that the proposed strategy can improve the voltage control of boost converter in various conditions.
光伏输出电压强烈依赖于太阳辐照度和温度。从这个角度来看,光伏板和负载直接连接是不可能的。需要DC/DC升压变换器来调节输出电压。然而,控制DC/DC升压变换器是一项非常具有挑战性和不容易的任务,因为它处理的是非线性和非最小相位系统。光伏输出电压变化未知、负载电阻未知是需要考虑的常见问题。本文提出了一种改进的自适应滑模控制器,在观测器设计中引入了自适应机制。为了估计未知但有界的输入电压和负载电阻,设计了观测器。此外,采用PI滑动面设计控制器,消除了变参数和扰动下的稳态误差,提供了快速的瞬态响应。采用这种结构,控制性能得到了提高。利用李亚普诺夫理论对该方法进行了验证,保证了该方法的稳定性。仿真结果表明,该策略可以改善升压变换器在各种情况下的电压控制。
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引用次数: 16
期刊
2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE)
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